Literature DB >> 25995176

What Are the Prognostic Factors for Radiographic Progression of Knee Osteoarthritis? A Meta-analysis.

Alex N Bastick1, Janneke N Belo, Jos Runhaar, Sita M A Bierma-Zeinstra.   

Abstract

BACKGROUND: A previous systematic review on prognostic factors for knee osteoarthritis (OA) progression showed associations for generalized OA and hyaluronic acid levels. Knee pain, radiographic severity, sex, quadriceps strength, knee injury, and regular sport activities were not associated. It has been a decade since the literature search of that review and many studies have been performed since then investigating prognostic factors for radiographic knee OA progression. QUESTIONS/PURPOSES: The purpose of this study is to provide an updated systematic review of available evidence regarding prognostic factors for radiographic knee OA progression.
METHODS: We searched for observational studies in MEDLINE and EMBASE. Key words were: knee, osteoarthritis (or arthritis, or arthrosis, or degenerative joint disease), progression (or prognosis, or precipitate, or predictive), and case-control (or cohort, or longitudinal, or follow-up). Studies fulfilling the inclusion criteria were assessed for methodologic quality according to established criteria for reviews on prognostic factors in musculoskeletal disorders. Data were extracted and results were pooled if possible or summarized according to a best-evidence synthesis. A total of 1912 additional articles were identified; 43 met our inclusion criteria. The previous review contained 36 articles, thus providing a new total of 79 articles. Seventy-two of the included articles were scored high quality, the remaining seven were low quality.
RESULTS: The pooled odds ratio (OR) of two determinants showed associations with knee OA progression: baseline knee pain (OR, 2.38 [95% CI, 1.74-3.27) and Heberden nodes (OR, 2.66 [95% CI, 1.46-8.84]). Our best-evidence synthesis showed strong evidence that varus alignment, serum hyaluronic acid, and tumor necrosis factor-α are associated with knee OA progression. There is strong evidence that sex, former knee injury, quadriceps strength, smoking, running, and regular performance of sports are not associated with knee OA progression. Evidence for the majority of determined associations, however, was limited, conflicting, or inconclusive.
CONCLUSIONS: Baseline knee pain, presence of Heberden nodes, varus alignment, and high levels of serum markers hyaluronic acid and tumor necrosis factor-α predict knee OA progression. Sex, knee injury, and quadriceps strength, among others, did not predict knee OA progression. Large variation remains in definitions of knee OA and knee OA progression. Clinical studies should use more consistent definitions of these factors to facilitate data pooling by future meta-analyses.

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Year:  2015        PMID: 25995176      PMCID: PMC4523522          DOI: 10.1007/s11999-015-4349-z

Source DB:  PubMed          Journal:  Clin Orthop Relat Res        ISSN: 0009-921X            Impact factor:   4.176


Introduction

The prevalence of osteoarthritis of the knee (OA) is increasing worldwide and this burden will continue to increase owing to aging of the general population [95]. Consequent to an increase in incidence is the rise in the number of patients with knee OA who are prone to further deterioration of the knee. It therefore is important to better understand, control, and attempt to prevent further progression of disease in patients with knee OA. In 2007, Belo et al. [4] published the first systematic review on prognostic factors for progression of knee OA. They found that generalized OA and hyaluronic acid levels were associated with progression of knee OA. Knee pain, baseline radiographic severity, sex, quadriceps strength, knee injury, and regular sport activities were not associated. For the remaining factors the evidence was limited or conflicting. Their literature search had been performed up to December 2003; however, many articles studying radiographic progression of knee OA have been published in the decade since that review. Therefore, we performed an update of the systematic review of observational studies by Belo et al. [4] to determine the currently available evidence on prognostic factors for radiographic progression of knee OA.

Search Strategy and Criteria

Literature Search

In the review by Belo et al. [4], the search of the literature had been performed in MEDLINE and EMBASE for all available observational studies up to December 2003. We searched in MEDLINE and EMBASE from December 2003 up to February 2013. Key words were: knee, osteoarthritis (or arthritis, or arthrosis, or degenerative joint disease), progression (or prognosis, or precipitate, or predictive), and case-control (or cohort, or longitudinal, or follow-up). Articles were reviewed for inclusion independently by two authors (ANB and JNB or JR). The following inclusion criteria were used: 85% or more of participants in the analyses for OA progression had radiographic evidence of knee OA at baseline; the study investigated determinants associated with radiographic knee OA progression; radiographic progression was the outcome measure; the study had a case-control or cohort design with a minimal 1-year followup; full text of the article was available; the study was in English, Dutch, German, or French. Studies that observed the incidence of knee OA were excluded. A detailed description of our search strategy is available online (Appendix 1. Supplemental materials are available with the online version of CORR®). All articles were reviewed for inclusion independently by two authors (ANB and JNB or JR). Studies that used MRI features to define OA progression were excluded. However, studies determining MRI features as prognostic factors were included.

Methodologic Quality

The same methodologic quality assessment criteria as in the original review by Belo et al. [4] were used for this review (Table 1). These criteria were based on established criteria used in systematic reviews of prognostic factors for patients with musculoskeletal disorders and were described by Lievense et al. [49], Scholten-Peeters et al. [69], and Altman [1]. The criteria cover the internal validity and the informativeness of the study. All included articles were scored independently by two authors (ANB and JNB or JR). Cohen’s kappa coefficient (κ) was calculated to indicate the interrater agreement.
Table 1

Methodologic quality assessment criteria

Study population
 Description of source population
 Valid inclusion criteria
 Sufficient description of inclusion criteria
Followup
 Followup at least 1 year
 Prospective or retrospective data collection
 Loss to followup ≤ 20%
 Information about loss to followup (selective for age, sex, or severity)
Exposure
 Exposure assessment blinded for the outcome
 Exposure measured identically in the studied population at baseline and followup
Outcome
 Outcome assessment blinded for exposure
 Outcome measured identically in the studied population at baseline and followup
Analysis
 Measure of association or measures of variance given
 Adjusted for age, sex, and severity

Reprinted with permission of John Wiley and Sons from Belo JN, Berger MY, Reijman M, Koes BW, Bierma-Zeinstra SM. Prognostic factors of progression of osteoarthritis of the knee: a systematic review of observational studies. Arthritis Rheum. 2007;57:13–26.

Methodologic quality assessment criteria Reprinted with permission of John Wiley and Sons from Belo JN, Berger MY, Reijman M, Koes BW, Bierma-Zeinstra SM. Prognostic factors of progression of osteoarthritis of the knee: a systematic review of observational studies. Arthritis Rheum. 2007;57:13–26.

Data Extraction

Study population characteristics, observed risk factors, definitions of knee OA progression, and measures of association were extracted.

Evidence Synthesis

Odds ratios (ORs), relative risks (RRs), or hazard ratios (HRs) were pooled when there was consistency in definition of study population, measured determinants, and assessed outcome (using Review Manager [RevMan], Version 5.3; Copenhagen, Denmark: The Nordic Cochrane Centre, The Cochrane Collaboration, 2014). We tested for heterogeneity with the chi-square and I-square tests. If heterogeneity was absent, a fixed effects model was applied to calculate pooled OR through the Mantel Haenszel test. In the absence of consistency among definitions for OA, a best-evidence synthesis was used to summarize the data. The level of evidence was based on the updated guidelines by Furlan et al. [34] and was divided into the following levels: (A) strong, ie, consistent (> 75%) findings among two or more high-quality studies; (B) moderate, ie, findings in one high-quality study and consistent findings in two or more low-quality studies; (C) limited, ie, findings in one high-quality study or consistent findings in three or more low-quality studies; and (D) conflicting or inconclusive evidence, ie, less than 75% of the studies reported consistent findings, or the results were based on only one study. High quality was defined as a quality score of 9 or greater (> 65% of the maximal attainable score). When performing the best-evidence synthesis, we only differentiated between high- and low-quality studies.

Studies Included

Of the 1912 articles identified using our search strategy, 43 met the inclusion criteria [2, 5, 7, 11, 13, 19, 20, 25–28, 30, 35, 38–44, 46, 48, 50–52, 55, 57–62, 64–66, 73, 74, 78, 85, 88, 91–93]. Belo et al. reviewed 36 articles [3, 8, 12, 14–16, 18, 21–24, 29, 31, 32, 37, 45, 47, 53, 54, 56, 63, 70–72, 75–77, 79–83, 87, 89, 94, 96]; therefore the total number of included studies was 79, studying 59 different determinants for the progression of knee OA (Table 2). Three reviewers scored 559 items for the methodologic quality assessment of the 43 newly included articles and agreed on 519 items (93%; κ = 0.79). The 53 disagreements were resolved in a single consensus meeting. Seventy-two of the 79 included articles were scored as high quality (score, 9–13), and only one article had the maximum attainable score. The remaining seven were scored as low quality, however no article was scored less than 6. Six different criteria were used for the inclusion of participants with OA and 13 definitions were applied to define radiographic OA progression. Furthermore, there were differences in how the determinants under study were measured, ie, continuous, dichotomous, or categorical with varying cut-off points.
Table 2

Study characteristics of the reviewed manuscripts (n = 79)

StudyNumber of participantsFollowup (months)Definition of OA for inclusionMean age in years ± SDWomen (%)Quality score
Sharma et al. [78], 201095030K/L63.6 ± 7.86213
Brouwer et al. [13], 200716972K/L66.4 ± 6.75912
Cerejo et al. [16], 200223018K/L64 ± 10.87312
Dieppe et al. [21], 199741537.6*K/L65.36812
Felson et al. [29], 200322315 and 30OARSI66.2 ± 9.44212
Madan-Sharma et al. [50], 200818624ACR criteria60.28112
McAlindon et al. [53], 1996556120K/L70.36312
Sharma et al. [79], 200123018K/L, JSW64.0 ± 11.17512
Spector et al. [81], 19945824K/L56.8 ± 5.910012
Vilim et al. [87], 20024836K/L, JSW62.8 (48–74)7112
Bagge et al. [3], 19927448K/LNR5711
Benichou et al. [5], 20106712OARSI60 ± 96411
Botha-Scheepers et al. [11], 20088624ACR criteria618011
Brandt et al. [12], 19998231.5*K/L70.17011
Denoble et al. [20], 20116936K/L64.5 ± 10.17111
Dieppe et al. [23], 19936060cOA and rOA62.2 ± 1.56511
Dieppe et al. [22], 200034996K/L65.36811
Ledingham et al. [47], 199518824K/L71 (34–91)6311
Miyazaki et al. [56], 20027472K/L, JSW69.9 ± 7.88111
Nevitt et al. [59], 2010175430K/L63 ± 86311
Niu et al. [61], 2009262330K/L62.4 ± 8.05911
Sharif et al. [72], 19957560K/L64.2 ± 11.66911
Sharif et al. [75], 19955760JSWNRNR11
Sharif et al. [76], 20004060K/L65.2 ± 9.96111
Sharif et al. [74], 200411560K/L63.6 ± 9.75511
Sharif et al. [73], 200711560K/L63.6 ± 9.75511
Zhang et al. [96], 199855196K/L71 (63–91)10011
Zhang et al. [94], 200047396K/L71 (63–91)10011
Bettica et al. [8], 200221648Osteophytes, JSWNR10010
Cooper et al. [18], 200035461.2*K/L71.37210
Dam et al. [19], 200913821ACR criteria604810
Doherty et al. [24], 199613430K/L71 (41–88)5610
Duncan et al. [25], 201141436K/L64.8 ± 8.15110
Felson et al. [31], 199586997.2*K/L70.8 ± 5.06410
Felson et al. [30], 2007715 + 48830 + 120NR§, ACR criteria53 + 6653 + 4010
Fraenkel et al. [32], 199842348K/LNR6710
Hart et al. [37], 200283048Osteophytes, JSW54.1 ± 5.910010
Kopec et al. [43], 201225972K/LNR6510
Lane et al. [45], 199855108Osteophytes, JSW663310
Larsson et al. [46], 20127490OARSI50 (32–73)1810
Mazzuca et al. [51], 200631930K/L60.0 ± 9.68410
McAlindon et al. [54], 1996640120K/L70.36410
Miyazaki et al. [55], 20128496K/L72.3 ± 3.19310
Muraki et al. [57], 2012131340K/L68.7 ± 11.37510
Nelsonet al. [58], 201032960K/L61.9 ± 9.76110
Pavelka et al. [63], 200013960K/L59.1 ± 8.07610
Reijman et al. [66], 200753272K/L68.6 ± 7.06810
Schouten et al. [70], 1992239146.4*K/L57.2 ± 6.15910
Sharma et al. [77], 200317118K/L64.0 ± 11.17410
Spector et al. [80], 199263132K/L60 and 617210
Spector et al. [82], 199784548K/LNR10010
Sugiyama et al. [83], 200311048JSW50.2 ± 6.010010
Wilder et al. [88], 200921767.2*K/L65.9 ± 9.66110
Yoshimura et al. [91], 2012129636K/L636610
Zhai et al. [93], 200761884NR56-NR10
Attur et al. [2], 20119824K/L60.7569
Bergink et al. [7], 2009124872K/L66.2 ± 6.7589
Bruyere et al. [14], 200315736ACR criteria66.0 ± 7.3769
Bruyere et al. [15], 200315736ACR criteria66.0 ± 7.3769
Felson et al. [27], 200527030K/L66.6 ± 9.2409
Golightly et al. [35], 2010158372K/L60.9 ± 10.0649
Harvey et al. [38], 2010296430K/L62 ± 8589
Haugen et al. [39], 201226712OARSI61.0 ± 9.5559
Kraus et al. [44], 200913836K/LNR749
Le Graverand et al. [48], 200914124K/L561009
Mazzuca et al. [52], 20047330K/L55.2 ± 5.81009
Nishimura et al. [60], 20109248K/L71 ± 4.7619
Peregoy and Wilder [64], 201115772K/L66.5 ± 8.7569
Reijman et al. [65], 200423772K/L69.1 ± 6.9719
Schouten et al. [71], 1993239146K/L57.4 ± 6.3599
Wolfe and Lane [89], 200258331 + 102ACR criteria63.4 ± 11.8779
Yusuf et al. [92], 201115572K/L59.6 ± 7.5859
Fayfman et al. [26], 2009490120K/L60.5628
Felson et al. [28], 200422730K/L66.4 ± 9.4418
Hunter et al. [40], 200759536Clinical symptoms73.6 ± 2.9608
Valdes et al. [85], 2004280120K/L56.91008
Kerkhof et al. [41], 201083572K/L67646
Kerna et al. [42], 200914136K/LNR706
Pavelka et al. [62], 20048924ACR criteria56.7 ± 7.2666

OA = osteoarthritis; K/L = Kellgren-Lawrence score; OARSI = Osteoarthritis Research Society International atlas; ACR = American College of Rheumatology; JSW = joint space width, cOA = clinical OA; rOA = radiographic OA; NR = not reported; *mean followup in months; §criteria not reported for one of the cohorts.

Study characteristics of the reviewed manuscripts (n = 79) OA = osteoarthritis; K/L = Kellgren-Lawrence score; OARSI = Osteoarthritis Research Society International atlas; ACR = American College of Rheumatology; JSW = joint space width, cOA = clinical OA; rOA = radiographic OA; NR = not reported; *mean followup in months; §criteria not reported for one of the cohorts.

Study Results

Because of the large number of studied determinants (n = 59), we pragmatically grouped our findings into five different categories: systemic factors (Table 3); disease characteristics (Table 4); intrinsic factors (Table 5); extrinsic factors (Table 6); and markers (Table 7). Some authors presented statistically significant associations to OA progression, but used p values or regression coefficients as measures of association [3, 5, 12, 14, 20, 21, 23, 31, 37, 41, 42, 44, 45, 47, 48, 52, 62, 63, 72, 74, 77, 80, 82, 85, 87, 93]. We chose to present only OR, RR, or HR as measures of associations; however, we have tabulated whether there was a significant association with OA progression in an article.
Table 3

Systemic factors discussed in the reviewed studies

DeterminantStudyInstrument of measurementDefinition of knee OA progressionOR/RR/HR (95% CI)Association with OA progression*
Age (n = 3690)Bagge et al. [3], 1992DichotomousIncrease K/L ≥ 1 (baseline K/L not provided)Not providedo
Benichou et al. [5], 2010< 60 versus ≥ 60 yearsChange in JSW (mean difference)Not providedo
Dieppe et al. [23], 1993JSN ≥ 2 mmNot providedo
Felson et al. [31], 1995Increase K/L ≥ 1 (baseline K/L ≥ 2)Not providedo
Mazzuca et al. [51], 2006Continuous (years)Change in JSW (mean difference)OR 1.13 (0.87–1.48)o
Miyazaki et al. [56], 2002Continuous (years)JSN > 1 grade on a 4-grade scaleOR 1.22 (1.05–1.41)+
Muraki et al. [57], 2012Per 5-year increaseIncrease K/L ≥ 1 (baseline K/L ≥ 2)OR 1.17 (1.05–1.30)+
Nishimura et al. [60], 2010Continuous (years)Increase K/L ≥ 1 (baseline K/L ≥ 2)OR 0.93 (0.83–1.06)o
Schouten et al. [70], 1992Fourth quartile versus firstChange in JSW ≥ 1 on a 9-point scaleOR 3.84 (1.10–13.4)+
Wolfe and Lane [89], 2002Continuous (years)JSN score = 3 on a 4-point scaleHR 1.00 (0.98–1.02)o
Female sex(n = 2235)Benichou et al. [5], 2010Change in JSW (mean difference)Not providedo
Dieppe et al. [23], 1993JSN ≥ 2 mmNot providedo
Felson et al. [31], 1995Increase K/L ≥ 1 (baseline K/L ≥ 2)RR 1.43 (0.80–2.58)o
Ledingham et al. [47], 1995Increase K/L or JSW (cutoff not provided) Change in cyst size/numberNot providedOR 2.17 (1.13–4.15)o+
Miyazaki et al. [56], 2002JSN > 1 grade on a 4-grade scaleOR 2.14 (0.34–13.5)o
Nishimura et al. [60], 2010Increase K/L ≥ 1 (baseline K/L ≥ 2)OR 1.32 (0.22–7.75)o
Schouten et al. [70], 1992Change in JSW ≥ 1 on a 9-point scaleOR 0.50 (0.22–1.11)o
Spector et al. [80], 1992Change JSN ≥ 1 (4-grade scale), or ≥ 10% JSW reductionNot providedo
Wolfe and Lane [89], 2002JSN score = 3 on a 4-point scaleHR 0.73 (0.44–1.19)o
Ethnicity (n = 1091)Kopec et al. [43], 2012Black versus whiteIncrease K/L ≥ 1 (baseline K/L ≥ 2)HR 1.67 (1.05–2.67)+
Low bone density (n = 3057)Hart et al. [37], 2002Low versus highChange JSN ≥ 1 grade on a 4-grade scaleNot providedo
Nevitt et al. [59], 2010High versus lowChange JSN ≥ 0.5 grade or osteophytes ≥ 1OR 1.3 (0.7–2.0)o
Zhang et al. [94], 2000Fourth quartile (high) versus firstIncrease K/L ≥ 1 (baseline K/L ≥ 2)OR 0.1 (0.03–0.3)
Osteoporosis(n = 92)Nishimura et al. [60], 2010Present versus absentIncrease K/L ≥ 1 (baseline K/L ≥ 2)OR 1.67 (0.44–6.28)o
IGF-1(n = 662)Fraenkel et al. [32], 1998Third tertile versus first in womenIncrease K/L ≥ 1 (baseline K/L ≥ 2)OR 0.9 (0.5–1.6)o
Third tertile versus first in menIncrease K/L ≥ 1 (baseline K/L ≥ 2)OR 0.9 (0.3–3.0)o
Schouten et al. [71], 1993Third tertile versus firstChange ≥ 2 on a 5-point scale for radiographic OAOR 2.58 (1.01–6.60)+
Metabolic syndrome (OW, HT, DL, IGT)(n = 1296)Yoshimura et al. [91], 2012≥ 3 components versus noneIncrease K/L ≥ 1 (baseline K/L ≥ 2)OR 2.80 (1.68–4.68)+
Two components versus noneOR 2.29 (1.49–3.54)+
One component versus noneOR 1.38 (0.91–2.08)o
Estrogen use(n = 551)Zhang et al. [96], 1998Past use versus never usedIncrease K/L ≥ 1 (baseline K/L ≥ 2)OR 0.9 (0.6–1.4)o
Current use versus never usedIncrease K/L ≥ 1 (baseline K/L ≥ 2)OR 0.4 (0.1–1.5)o
Uric acid concentration (n = 239)Schouten et al. [70], 1992High tertile versus lowChange in JSW ≥ 1 on a 9-point scaleOR 1.36 (0.46–4.02)o
Middle versus lowChange in JSW ≥ 1 on a 9-point scaleOR 1.05 (0.36–3.00)o
Plasma homocysteine(n = 490)Fayfman et al. [26], 2009Third tertile versus first in menThird tertile versus first in womenIncrease K/L ≥ 1 (baseline K/L ≥ 2)OR 0.6 (0.1–1.1)OR 1.7 (0.8–3.8)oo
Genetic components(n = 618)Zhai et al. [93], 2007Hereditability in MZChange ≥ 1 in JSN or osteophyte scoreNot providedo
Hereditability in DZNot provided+
SNP(n = 421)Kerna et al. [42], 2009rs3740199 in womenIncrease JSN ≥ 1 or osteophyte gradeOR 2.66 (1.19–5.98)+
rs1871054Increase JSN ≥ 1 or osteophyte gradeNot providedo
Valdes et al. [85], 2004ADAM12_48Increase K/L ≥ 1 (baseline K/L not provided)Not providedo
CILP_395Not provided+
TNA_106Not providedo
Depression/anxiety(n = 583)Wolfe and Lane [89], 2002Depression, yes versus noJSN score = 3HR 1.09 (0.93–1.28)o
Anxiety, yes versus noHR 0.95 (0.84–1.08)o

* Statistically significant association of the determinant with OA progression: + = positive association, − = negative association, o = no association (adjusted for age and sex if applicable); OA = osteoarthritis; K/L = Kellgren-Lawrence score; JSW = joint space width; JSN = joint space narrowing; IGF-1 = insulin-like growth factor 1; OW = overweight; HT = hypertension; DL = dyslipidemia; IGT = impaired glucose tolerance; MZ = monozygotic; DZ = dizygotic; SNP = single nucleotide polymorphisms; ADAM = A disintegrin and matrix metalloproteinase domain 12; CILP = cartilage intermediate-layer protein, nucleotide pyrophosphohydrolase; TNA = tetranectin (plasminogen-binding protein); OR = odds ratio; RR = relative risk; HR = hazard ratio; n = combined sample size.

Table 4

Disease characteristics discussed in the reviewed studies

DeterminantStudyInstrument of measurementDefinition of knee OA progressionOR/RR/HR (95% CI)Association with OA progression*
Knee pain(n = 2444)Cooper et al. [18], 2000Present versus absentIncrease K/L ≥ 1 (baseline K/L ≥ 1)OR 0.8 (0.4–1.7)o
Increase K/L ≥ 1 (baseline K/L ≥ 2)OR 2.4 (0.7–8.0)o
Dieppe et al. [23], 1993Present versus absentJSN ≥ 2 mmNot providedo
Miyazaki et al. [56], 2002Present versus absentChange JSN ≥ 1 grade on a 4-grade scaleOR 0.93 (0.78–1.11)o
Muraki et al. [57], 2012Present versus absentIncrease K/L ≥ 1 (baseline K/L ≥ 2)OR 2.63 (1.81–3.81+
Spector et al. [80], 1992Present versus absentChange JSN ≥ 1 grade on a 4-grade scale, or ≥ 10% JSNNot providedo
Wolfe and Lane [89], 2002Present versus absentJSN score = 3 on a 4-point scaleHR 1.55 (1.07–2.24)+
Severity Radiographic(n = 1874)Bruyere et al. [15], 2003Severity high versus lowJSN ≥ 0.5 mmRR 2.39 (0.99–5.79)o
Duncan et al. [25], 2011Mild PFJOA versus none Increase K/L ≥ 1 (baseline K/L ≥ 2) for TFJOAOR 4.5 (1.8–11.2)+
Mild TFJOA versus none Increase K/L ≥ 1 (baseline K/L ≥ 2) for PFJOAOR 1.7 (0.3–9.0)o
Ledingham et al. [47], 1995Change ≥ 1 rOA feature versus no changeChange in attrition (cutoff not provided)Increase K/L or JSW (cutoff not provided)OR 1.72 (1.36–2.19)Not provided+o
Mazzuca et al. [51], 2006JSW high versus low Change in JSW (mean difference)OR 0.67 (0.49–0.91)+
Patellofemoral OAChange in JSW (mean difference)OR 3.01 (1.63–5.57)+
Miyazaki et al. [56], 2002JSW, > 3 versus < 3 mmChange JSN ≥ 1 grade on a 4-grade scaleOR 0.74 (0.25–2.19)o
Pavelka et al. [63], 2000JSW (continuous)Increase K/L ≥ 1 (baseline K/L not provided)Not providedo
Wolfe and Lane [89], 2002Initial JSN, high versus lowJSN score = 3 on a 4-point scaleHR 2.62 (2.03–3.40)+
Clinical(n = 1317)Dieppe et al. [21], 1997Steinbrocker gradeJSN ≥ 2 mm, sclerosis, osteophytesNot providedo
Mazzuca et al. [51], 2006WOMAC-PF Change in JSW (mean difference)OR 1.16 (0.92–1.47)o
Wolfe and Lane [89], 2002Global severity (continuous)JSN score = 3 on a 4-point scaleHR 1.02 (1.01–1.03)+
HAQ, high versus lowJSN score = 3 on a 4-point scaleHR 1.34 (0.93–1.93)o
Heberden nodes(n = 685)Cooper et al. [18], 2000Increase K/L ≥ 1 (baseline K/L ≥ 1)OR 0.7 (0.4–1.6)o
Increase K/L ≥ 1 (baseline K/L ≥ 2)OR 2.0 (0.7–5.7)o
Nishimura et al. [60], 2010Increase K/L ≥ 1 (baseline K/L ≥ 2)OR 2.01 (0.60–6.76)o
Schouten et al. [70], 1992Change in JSW ≥ 1 on a 9-point scaleOR 5.97 (1.54–23.1)+
Osteoarthritis(n = 694)Haugen et al. [39], 2012Score hand JSNIncrease K/L ≥ 1 (baseline K/L ≥ 2)OR 1.00 (0.93–1.08)o
Score hand osteophytesOR 0.96 (0.87–1.06)o
Ledingham et al. [47], 1995Multiple joints versus local joint OAIncrease K/L (cutoff not provided)OR 2.39 (1.16–4.93)+
Change in attritionOR 2.42 (1.02–5.77)+
Change in JSW or rOA (cutoff not provided)Not providedo
Schouten et al. [70], 1992Generalized OAChange in JSW ≥ 1 on a 9-point scaleOR 3.28 (1.30–8.27)+
Localized OAChange in JSW ≥ 1 on a 9-point scaleOR 1.17 (0.51–2.72)o
Hand grip strength (muscle strength)(n = 1313)Muraki et al. [57], 2012Per 1-kg strength increaseIncrease K/L ≥ 1 (baseline K/L ≥ 2)OR 0.99 (0.96–1.01)o
Duration of symptoms(n = 643)Dieppe et al. [23], 1993Continuous (years)JSN ≥ 2 mmNot providedo
Wolfe and Lane [89], 2002Continuous (years)JSN score = 3 on a 4-point scaleHR 1.03 (1.00–1.05)+

* Statistically significant association of the determinant with OA progression: + = positive association, − = negative association, o = no association (adjusted for age and sex if applicable); †at baseline; OA = osteoarthritis; K/L = Kellgren-Lawrence score; JSN = joint space narrowing; TFJOA = tibiofemoral joint OA; PFJOA = patellofemoral joint OA; JSW = joint space width; WOMAC-PF = physical function scale of the WOMAC; HAQ = Health Assessment Questionnaire; OR = odds ratio; RR = relative risk; HR = hazard ratio; n = combined sample size; rOA = radiographic OA.

Table 5

Intrinsic factors discussed in the reviewed studies

DeterminantStudyAnalysis of determinantDefinition of knee OA progressionOR/RR/HR (95% CI)Association with OA progression*
Alignment(n = 2642)Brouwer et al. [13], 2007Varus versus neutralIncrease K/L ≥ 1 (baseline K/L ≥ 2)OR 2.90 (1.07–7.88)+
Valgus versus neutralIncrease K/L ≥ 1 (baseline K/L ≥ 2)OR 1.39 (0.48–4.05)o
Cerejo et al. [16], 2002Varus versus nonvarus (K/L 0–1)Change JSN > 1 grade on a 4-grade scaleOR 2.50 (0.67–9.39)+
Varus versus nonvarus (K/L 2)OR 4.12 (1.92–8.82)+
Varus versus nonvarus (K/L 3)OR 11.0 (3.10–37.8)+
Valgus versus nonvalgus (K/L 2)OR 2.46 (0.95–6.34)o
Valgus versus nonvalgus (K/L 3)OR 10.4 (2.76–39.5)+
Hunter et al. [40], 2007Patellar tilt, fourth versus first quartileMedial patellofemoral change JSN ≥ 1 grade on a 4-grade scaleOR 0.19 (0.09–0.43)
Sulcus angle, fourth versus first quartOR 1.49 (0.60–3.73)o
Bisect offset, fourth versus first quartOR 2.23 (1.10–4.50)+
Patellar tilt, fourth versus first quartileLateral patellofemoral change JSN ≥ 1 grade on a 4-grade scaleOR 1.13 (0.57–2.24)o
Sulcus angle, fourth versus first quartOR 2.09 (0.99–4.41)o
Bisect offset, fourth versus first quartileOR 0.35 (0.15–0.83)
Miyazaki et al. [56], 2002Varus versus nonvarusChange JSN ≥ 1 grade on a 4-grade scaleOR 0.90 (0.66–1.23)o
Schouten et al. [70], 1992Malaligned, present versus absentChange JSN ≥ 1 grade on a 4-grade scaleOR 5.13 (1.14–23.1)+
Sharma et al. [79], 2001Varus versus nonvarusChange JSN ≥ 1 grade on a 4-grade scaleOR 4.09 (2.20–7.62)+
Varus versus mild valgusOR 2.98 (1.51–5.89)+
Valgus versus nonvalgusOR 4.89 (2.13–11.2)+
Valgus versus mild varusOR 3.42 (1.31–8.96)+
Sharma et al. [78], 2010Valgus versus neutralChange medial JSN ≥ 1 grade on a 4-grade scaleOR 0.34 (0.21–0.55)
Varus versus neutralOR 3.59 (2.62–4.92)+
Valgus versus neutralChange lateral JSN ≥ 1 grade on a 4-grade scaleOR 4.85 (3.17–7.42)+
Varus versus neutralOR 0.12 (0.07–0.21)
Yusuf et al. [92], 2011Varus (< 182°) versus nonvarusChange JSN ≥ 1 grade on a 6-grade scaleRR 2.3 (1.4–3.1)+
Valgus (> 184°) versus nonvalgusRR 1.7 (0.97–2.6)o
Malaligned, BMI > 25 kg/m2 RR 4.1 (1.8–6.1)+
Adduction moment(n = 74) Miyazaki et al. [56], 2002≥ 5 versus < 5 (% weight x height)Change JSN ≥ 1 grade on a 4-grade scaleOR 6.46 (2.40–17.5)+
Knee injury(n = 207)Cooper et al. [18], 2000Yes versus noIncrease K/L ≥ 1 (baseline K/L ≥ 1)OR 1.2 (0.5–3.0)o
Increase K/L ≥ 1 (baseline K/L ≥ 2)OR 1.1 (0.3–4.4)o
Schouten et al. [70], 1992Knee injury: yes versus noChange JSN ≥ 1 grade on a 4-grade scaleOR 2.62 (0.93–7.36)o
Sport injury: yes versus noChange JSN ≥ 1 grade on a 4-grade scaleOR 0.62 (0.17–2.19)o
Bone marrow lesions/edema(n = 186)Madan-Sharma et al. [50], 2008Present versus absentJSN > 1 grade on a 4-grade scaleRR 0.9 (0.18–3.0)o
Subchondral bone cysts (MRI)(n = 186)Madan-Sharma et al. [50], 2008Present versus absentJSN > 1 grade on a 4-grade scaleRR 1.6 (0.5–4.0)o
Cartilage loss (MRI)(n = 186)Madan-Sharma et al. [50], 2008Present versus absentJSN > 1 grade on a 4-grade scaleRR 3.0 (0.5–9.6)o
Joint effusion(n = 186)Madan-Sharma [50], 2008Present on MRIJSN > 1 grade on a 4-grade scaleRR 0.6 (0.6–1.8)o
Meniscal damage(n = 186)Madan-Sharma et al. [50], 2008Present versus absent on MRIJSN > 1 grade on a 4-grade scaleRR 8.91 (1.1–22.8)+
Meniscectomy(n = 239)Schouten et al. [70], 1992Yes versus noChange JSN ≥ 1 grade on a 4-grade scaleOR 2.28 (0.57–9.03)o
Chondrocalcinosis(n = 239)Schouten et al. [70], 1992Yes versus noChange JSN ≥ 1 grade on a 4-grade scaleOR 2.01 (0.55–7.42)o
Osteophytes tibiofemoral (n = 337)Benichou et al. [5], 2010Definite versus notChange in JSW (mean difference)Not providedo
Felson et al. [27], 2005Ipsilateral scoreContralateral scoreChange JSN ≥ 1 grade on a 4-grade scaleOR 1.9 (1.5–2.5)+
OR 0.6 (0.5–0.8)
Knee ROM(n = 92)Nishimura et al. [60], 2010Mean ROMIncrease K/L ≥ 1 (baseline K/L ≥ 2)OR 0.94 (0.89–0.99)

* Statistically significant association of the determinant with OA progression: + = positive association, − = negative association, o = no association (adjusted for age and sex if applicable); OA = osteoarthritis; K/L = Kellgren-Lawrence score; JSN = joint space narrowing; JSW = joint space width; OR = odds ratio; RR = relative risk; HR = hazard ratio; n = combined sample size.

Table 6

Extrinsic factors discussed in the reviewed studies

DeterminantStudyAnalysis of determinantDefinition of knee OA progressionOR/RR/HR (95% CI)Association with OA progression*
BMI(n = 6791)Benichou et al. [5], 2010< 30 versus ≥ 30 kg/m2 Change in JSW (mean difference)Not provided+
Cooper et al. [18], 2000Highest tertile versus lowestIncrease K/L ≥ 1 (baseline K/L ≥ 1)OR 2.6 (1.0–6.8)+
Increase K/L ≥ 1 (baseline K/L ≥ 2)OR 1.3 (0.3–5.0)o
Dieppe et al. [23], 1993ContinuousJSN ≥ 2 mm or knee surgeryNot providedo
Felson et al. [28], 2004Per 2-unit increase (§)Change JSN ≥ 1 grade on a 4-grade scaleOR 0.98 (0.8–1.4)o
As §, with 3°–6° malalignmentOR 1.23 (1.0–1.4)+
As §, with ≥ 7° malalignmentOR 0.93 (0.7–1.2)o
Ledingham et al. [47], 1995ContinuousChange in JSW (cutoff not provided)OR 1.07(1.02–1.14)+
Change in osteophytes (cutoff not provided)OR 1.06 (1.00–1.12)+
Change in K/L (cutoff not provided)Not providedo
LeGraverand et al. [48], 2009< 30 versus ≥ 30 kg/m2 Change in JSW (mean difference)Not providedo
Miyazaki et al. [56], 2002ContinuousJSN ≥ 1 grade on a 4-grade scaleOR 1.21 (0.91–1.61)o
Muraki et al. [57], 2012Per 5-unit increaseIncrease K/L ≥ 1 (baseline K/L ≥ 2)OR 1.43 (1.16–1.77)+
Nishimura et al. [60], 2010ContinuousIncrease K/L ≥ 1 (baseline K/L ≥ 2)OR 0.93 (0.78–1.11)o
Niu et al. [61], 2009< 25 versus ≥ 30 kg/m2 Increase JSN ≥ 0.5 gradeRR 1.1 (0.9–1.4)o
Reijman et al. [66], 2007≤ 25 versus > 27.5 kg/m2 Increase JSN ≥ 1 mmOR 1.4 (0.8–2.6)o
Increase K/L ≥ 1 (baseline K/L ≥ 2)OR 2.1 (1.2–3.7)+
Schouten et al. [70], 1992Second quartile versus firstChange in JSW ≥ 1 on a 9-point scaleOR 1.77 (0.48–6.50)o
Third quartile versus firstOR 5.28 (1.54–18.1)+
Fourth quartile versus firstOR 11.1 (3.28–37.3)+
Spector et al. [81], 1994Third tertile versus firstIncrease K/L or JSN (cutoff not provided)RR 4.69 (0.63–34.8)o
Wolfe and Lane [89], 2002ContinuousJSN score = 3HR 1.03 (1.00–1.06)+
Yusuf et al. [92], 2011BMI 25–30 versus < 25Change JSN ≥ 1 grade on a 6-grade scaleRR 2.4 (1.3–3.6)+
BMI >30 versus < 25Change JSN ≥ 1 grade on a 6-grade scaleRR 2.9 (1.7–4.1)+
Quadriceps strength(n = 253)Brandt et al. [12], 1999Progressive versus nonprogressive group Increase K/L ≥ 1 (baseline K/L not provided)Not providedo
Sharma et al. [77], 2003High versus low strength Increase JSN ≥ 1Not providedo
Leg length inequality(n = 4547)Golightly et al. [35], 2010Leg length inequality versus no inequalityIncrease K/L ≥ 1 (baseline K/L ≥ 1)HR 1.22 (0.82–1.80)o
Increase K/L ≥ 1 (baseline K/L ≥ 2)HR 1.83 (1.10–3.05)+
Harvey et al. [38], 2010≥ 1 cm versus no inequality, shorter legJSN ≥ 1 grade or knee surgeryOR 1.3 (1.0–1.7)+
≥ 2 cm versus no inequality, shorter legOR 1.4 (0.5–3.7)o
AP knee laxity (n = 84)Miyazaki et al. [55], 2012Before exerciseIncrease K/L ≥ 1 (baseline K/L ≥ 1) or radiographic cartilage loss > 0.2 mm annuallyOR 1.29 (0.54–3.08)o
Enhanced laxity resulting from exerciseOR 4.15 (1.12–15.4)+
Running(n = 294)Lane et al. [45], 1998Dichotomous Increase ≥ 1 on JSW and osteophyte scoreNot providedo
Schouten et al. [70], 1992Dichotomous Change in JSW ≥ 1 on a 9-point scaleOR 0.53 (0.17–1.68)o
Regular sports(n = 593)Cooper et al. [18], 2000Dichotomous Increase K/L ≥ 1 (baseline K/L ≥ 1)OR 0.7 (0.4–1.6)o
Increase K/L ≥ 1 (baseline K/L ≥ 2)OR 0.9 (0.3–2.5)o
Schouten et al. [70], 1992Physical activity Change in JSW ≥ 1 on a 9-point scaleOR 0.43 (0.11–1.76)o
Walking OR 1.47 (0.36–6.03)o
Standing (medium versus low) OR 3.80 (1.03–14.0)+
Standing (high versus low) OR 2.09 (0.43–10.3)o
Nutritional variables(n = 3381)Bergink et al. [7], 2009Vitamin D intake (low versus high)Increase K/L ≥ 1 (baseline K/L ≥ 2)OR 7.7 (1.3–43.5)
Serum vitamin D (low versus high)Increase K/L ≥ 1 (baseline K/L ≥ 2)OR 2.1 (0.6–7.4)o
Felson et al. [30], 2007Vitamin D serum levels < 20 ng/mLChange JSN ≥ 1 grade on a 4-grade scale, FraminghamOR 0.83 (0.54–1.27)o
Vitamin D serum levels < 20 ng/mLChange JSN ≥ 1 grade on a 4-grade scale, BOKS studyOR 0.63 (0.35–1.14)o
McAlindon et al. [53], 1996Vitamin D intake (middle versus high)Increase JSN ≥ 1OR 2.99 (1.06–8.49)
Serum vitamin D (middle versus high)Increase JSN ≥ 1OR 2.83 (1.02–7.85)
McAlindon et al. [54], 1996Vitamin C intake (middle versus low)Increase K/L ≥ 1OR 0.32 (0.14–0.77)
β-carotene intake (high versus low)OR 0.42 (0.19–0.94)
Vitamin E (high versus low)OR 0.68 (0.28–1.64)o
Peregoy and Wilder [64], 2011Vitamin C intakeIncrease K/L ≥ 1 (baseline K/L ≥ 2)RR 0.94 (0.79–1.12)o
Wilder et al. [88], 2009Vitamin intake in generalIncrease K/L ≥ 1 (baseline K/L ≥ 2)RR 0.93 (0.87–0.99)
Smoking(n = 331)Nishimura et al. [60], 2010Yes versus noIncrease K/L ≥ 1 (baseline K/L ≥ 2)OR 0.73 (0.09–6.15)o
Schouten et al. [70], 1992Past smoker versus neverChange in JSW ≥ 1 on a 9-point scaleOR 1.07 (0.38–3.04)o
Current smoker versus neverChange in JSW ≥ 1 on a 9-point scaleOR 0.96 (0.34–2.75)o

* Statistically significant association of the determinant with OA progression: + = positive association, − = negative association, o = 1o association (adjusted for age and sex if applicable); †assessed at baseline; ‡assessed at followup; OA = osteoarthritis; JSW = joint space width; K/L = Kellgren-Lawrence score; JSN = joint space narrowing; OR = odds ratio; RR = relative risk; HR = hazard ratio; n = combined sample size.

Table 7

Markers discussed in the reviewed studies

MarkerStudyInstrument of measurementDefinition of knee OA progressionOR/RR/HR (95% CI)Association with OA progression*
CRP (serum)(n = 1720)Kerkhof et al. [41], 2010ContinuousIncrease K/L ≥ 1 (baseline K/L ≥ 2) or surgeryNot providedo
Sharif et al. [76], 2000ContinuousJSN ≥ 2 mm or knee surgeryOR 1.12 (0.81–1.55)o
Spector et al. [82], 1997ContinuousIncrease K/L ≥ 1 (baseline K/L not provided)Not provided+
IL-1β (serum)(n = 184)Attur et al. [2], 2011Increased versus normalIncrease K/L ≥ 1 or > 30% JSW reductionOR 3.2 (1.2–8.7)+
Botha-Scheepers et al. [11], 2008Fourth quartile versus firstChange JSN ≥ 1 grade on a 4-grade scaleRR 1.3 (0.5–2.0)o
IL-10 (serum)(n = 86)Botha-Scheepers et al. [11], 2008Fourth quartile versus firstChange JSN ≥ 1 grade on a 4-grade scaleRR 4.3 (1.7–6.2)+
IL-1Ra (serum)(n = 86)Botha-Scheepers et al. [11], 2008Fourth quartile versus firstChange JSN ≥ 1 grade on a 4-grade scaleRR 2.1 (0.7–3.9)o
TNFα (serum)(n = 253)Attur et al. [2], 2011Increased versus normalIncrease K/L ≥ 1 or > 30% JSW reductionOR 8.9 (2.6–30.8)+
Botha-Scheepers et al. [11], 2008Fourth quartile versus firstChange JSN ≥ 1 grade on a 4-grade scaleRR 6.1 (1.4–9.8)+
Denoble et al. [20], 2011ContinuousChange in osteophyte scoreNot provided+
TGF-β1 (serum)(n = 329)Nelson et al. [58], 2010ContinuousIncrease K/L ≥ 1 (baseline K/L ≥ 1)HR 1.04 (0.41–2.65)o
Increase K/L ≥ 1 (baseline K/L ≥ 2)HR 1.10 (0.46–2.63)o
Hyaluronic acid (serum) (n = 361)Bruyere et al. [14], 2003High level versus lowChange in mean JSW (cutoff not provided)Not provided+
Pavelka et al. [62], 2004High level versus lowChange in mean JSW (cutoff not provided)Not provided+
Sharif et al. [72], 1995High level versus lowJSN ≥ 2 mm or knee surgeryNot provided+
Sharif et al. [76], 2000High level versus lowJSN ≥ 2 mm or knee surgeryOR 2.32 (1.16–4.66)+
Keratan sulfate (serum) (n = 232)Bruyere et al. [14], 2003High level versus lowChange in mean JSW (cutoff not provided)Not provided+
Sharif et al. [72], 1995High level versus lowJSN ≥ 2 mm or knee surgeryNot providedo
COMP (serum)(n = 466)Bruyere et al. [14], 2003High level versus lowChange in mean JSW (cutoff not provided)Not providedo
Pavelka et al. [62], 2004High level versus lowChange in mean JSW (cutoff not provided)Not providedo
Sharif et al. [75], 1995High level versus lowJSN ≥ 2 mm or knee surgeryNot provided+
Sharif et al. [74], 2004OA progression versus nonprogessionJSN ≥ 2 mm or knee surgeryNot provided+
Vilim et al. [87], 2002High level versus lowJSN > 0.5 mmNot provided+
Pentosidine (serum)(n = 89)Pavelka et al. [62], 2004High level versus lowChange in mean JSW (cutoff not provided)Not provided+
YKL-40 (serum)(n = 89)Pavelka et al. [62], 2004High level versus lowChange in mean JSW (cutoff not provided)Not providedo
MMP-9 (serum)(n = 89)Pavelka et al. [62], 2004High level versus lowChange in mean JSW (cutoff not provided)Not providedo
TIMP-9 (serum)(n = 89)Pavelka et al. [62], 2004High level versus lowChange in mean JSW (cutoff not provided)Not providedo
PIIANP (serum)(n = 115)Sharif et al. [73], 2007Fourth quartile versus firstJSN ≥ 2 mm or knee surgeryRR 3.2 (1.1–9.0)+
CTX-II (urine)(n = 490)Dam et al. [19], 2009Third tertile versus firstIncrease K/L ≥ 1 (disregarding baseline K/L)OR 2.3o
Third tertile versus firstJSN > mean JSN of non-OA control group (K/L ≤ 1)OR 1.8o
Reijman et al. [65], 2004Fourth quartile versus firstJSN ≥ 2 mmOR 6.0 (1.2–30.8)+
Fourth quartile versus firstJSN ≥ 1.5 mmOR 1.8 (0.8–4.1)o
Fourth quartile versus firstJSN ≥ 1 mmOR 1.1 (0.7–1.7)o
Sharif et al. [73], 2007> median versus ≤ medianJSN ≥ 2 mm or knee surgeryRR 3.4 (1.2–9.4)+
ARGS (synovial)(n = 74)Larsson et al. [46], 2012Baseline level ARGS > followup level ARGS≥ 1-unit increase OARSI scoreOR 6.77 (1.38–33.2)+
IL-18 (synovial)(n = 69)Denoble et al. [20], 2011ContinuousChange in osteophyte scoreNot provided+
FSA (radiographic)(n = 138)Kraus et al. [44], 2009FD progression versus nonprogressionMedial JSN ≥ 1 or osteophyte formationNot provided+
Bone scintigraphy(n = 73)Mazzuca et al. [52], 2004 99mTc-MDP uptakeChange in JSW (mean difference)Not providedo

* Statistically significant association of the determinant with OA progression: + = positive association, − = negative association, o = no association (adjusted for age and sex if applicable); OA = osteoarthritis; K/L = Kellgren-Lawrence score; JSN = joint space narrowing; CRP = C-reactive protein; IL = interleukin; TNF = tumor necrosis factor; YKL-40 = chitinase-3-like protein 1; JSW = joint space width; TGF = transforming growth factor; C2C = collagen type II cleavage; COMP = cartilage oligomeric matrix protein; MMP = matrix metalloproteinase; TIMP = tissue inhibitors of metalloproteinase; PIIANP = N-propeptide of type IIA collagen; CTX-II = crosslinked C-telopeptide; ARGS = aggrecan neoepitope amino acid sequence; FSA = fractal signature analysis; FD = fractal dimension (horizontal and vertical); OR = odds ratio; RR = relative risk; HR = hazard ratio; n = combined sample size.

Systemic factors discussed in the reviewed studies * Statistically significant association of the determinant with OA progression: + = positive association, − = negative association, o = no association (adjusted for age and sex if applicable); OA = osteoarthritis; K/L = Kellgren-Lawrence score; JSW = joint space width; JSN = joint space narrowing; IGF-1 = insulin-like growth factor 1; OW = overweight; HT = hypertension; DL = dyslipidemia; IGT = impaired glucose tolerance; MZ = monozygotic; DZ = dizygotic; SNP = single nucleotide polymorphisms; ADAM = A disintegrin and matrix metalloproteinase domain 12; CILP = cartilage intermediate-layer protein, nucleotide pyrophosphohydrolase; TNA = tetranectin (plasminogen-binding protein); OR = odds ratio; RR = relative risk; HR = hazard ratio; n = combined sample size. Disease characteristics discussed in the reviewed studies * Statistically significant association of the determinant with OA progression: + = positive association, − = negative association, o = no association (adjusted for age and sex if applicable); †at baseline; OA = osteoarthritis; K/L = Kellgren-Lawrence score; JSN = joint space narrowing; TFJOA = tibiofemoral joint OA; PFJOA = patellofemoral joint OA; JSW = joint space width; WOMAC-PF = physical function scale of the WOMAC; HAQ = Health Assessment Questionnaire; OR = odds ratio; RR = relative risk; HR = hazard ratio; n = combined sample size; rOA = radiographic OA. Intrinsic factors discussed in the reviewed studies * Statistically significant association of the determinant with OA progression: + = positive association, − = negative association, o = no association (adjusted for age and sex if applicable); OA = osteoarthritis; K/L = Kellgren-Lawrence score; JSN = joint space narrowing; JSW = joint space width; OR = odds ratio; RR = relative risk; HR = hazard ratio; n = combined sample size. Extrinsic factors discussed in the reviewed studies * Statistically significant association of the determinant with OA progression: + = positive association, − = negative association, o = 1o association (adjusted for age and sex if applicable); †assessed at baseline; ‡assessed at followup; OA = osteoarthritis; JSW = joint space width; K/L = Kellgren-Lawrence score; JSN = joint space narrowing; OR = odds ratio; RR = relative risk; HR = hazard ratio; n = combined sample size. Markers discussed in the reviewed studies * Statistically significant association of the determinant with OA progression: + = positive association, − = negative association, o = no association (adjusted for age and sex if applicable); OA = osteoarthritis; K/L = Kellgren-Lawrence score; JSN = joint space narrowing; CRP = C-reactive protein; IL = interleukin; TNF = tumor necrosis factor; YKL-40 = chitinase-3-like protein 1; JSW = joint space width; TGF = transforming growth factor; C2C = collagen type II cleavage; COMP = cartilage oligomeric matrix protein; MMP = matrix metalloproteinase; TIMP = tissue inhibitors of metalloproteinase; PIIANP = N-propeptide of type IIA collagen; CTX-II = crosslinked C-telopeptide; ARGS = aggrecan neoepitope amino acid sequence; FSA = fractal signature analysis; FD = fractal dimension (horizontal and vertical); OR = odds ratio; RR = relative risk; HR = hazard ratio; n = combined sample size.

Sensitivity Analysis

For factors in which we were forced to use a best-evidence synthesis, we conducted a sensitivity analysis to check whether differences in sample size could have altered our conclusions. Additionally we checked whether large variances in followup could have led to different conclusions.

Results

Summaries of the results for systemic factors, disease characteristics, intrinsic factors, extrinsic factors, and markers are available (Appendix 2. Supplemental material is available with the online version of CORR®.).

Pooled Results

The presence of knee pain at baseline and Heberden nodes were associated with the progression of knee OA. The pooled ORs based on pools of studies with consistency among the definitions for OA inclusion, OA progression, and the determinant under study, were 2.38 for knee pain at baseline (95% CI,1.74–3.27; I2 = 52%) (Fig. 1) and 2.66 for the presence of Heberden nodes (95% CI, 1.46–8.84); I2 = 0%) (Fig. 2). Because of the large number of determinants with only a restricted number of studies per determinant and owing to lack of consistency between the reviewed studies regarding inclusion criteria, outcome measures, and measures of association, statistical pooling was not possible for the majority of the determinants.
Fig. 1

A forest plot for the pooled odds ratio (OR) shows the association between the presence of knee pain at baseline and radiographic progression of knee osteoarthritis (OA). The OR can deviate from the OR in Table 4 because pooled ORs were obtained through crude ORs, as opposed to the adjusted OR in Table 4. The results from Dieppe and Wolfe for pooling were not available and were not included in this analysis. The results from the chi-square and I2 tests indicate homogeneity between the studies. M–H = Mantel Haenszel test; Fixed = fixed effects model; df = degrees of freedom.

Fig. 2

A forest plot for the pooled odds ratio (OR) shows the association between the presence of Heberden nodes at baseline and radiographic progression of knee osteoarthritis (OA). The OR can deviate from that in Table 4 because pooled ORs were obtained through crude ORs, as opposed to the adjusted OR in Table 4. The results from the chi-square and I2 tests indicate homogeneity between the studies. M–H = Mantel Haenszel test; Fixed = fixed effects model; df = degrees of freedom.

A forest plot for the pooled odds ratio (OR) shows the association between the presence of knee pain at baseline and radiographic progression of knee osteoarthritis (OA). The OR can deviate from the OR in Table 4 because pooled ORs were obtained through crude ORs, as opposed to the adjusted OR in Table 4. The results from Dieppe and Wolfe for pooling were not available and were not included in this analysis. The results from the chi-square and I2 tests indicate homogeneity between the studies. M–H = Mantel Haenszel test; Fixed = fixed effects model; df = degrees of freedom. A forest plot for the pooled odds ratio (OR) shows the association between the presence of Heberden nodes at baseline and radiographic progression of knee osteoarthritis (OA). The OR can deviate from that in Table 4 because pooled ORs were obtained through crude ORs, as opposed to the adjusted OR in Table 4. The results from the chi-square and I2 tests indicate homogeneity between the studies. M–H = Mantel Haenszel test; Fixed = fixed effects model; df = degrees of freedom.

Best-evidence Synthesis

For the remaining determinants, we applied a best-evidence synthesis, which showed that based on consistent findings in multiple high-quality studies, there seems to be strong evidence that varus alignment, serum TNFα level, and serum hyaluronic acid level are associated with radiographic progression of knee OA. There also is strong evidence that sex (female), former knee injury, quadriceps strength, smoking, running, and regular performance of sports are not associated with progression of knee OA. There was moderate evidence showing that a higher dietary intake of vitamin D is inversely associated with progression of knee OA. Thus far, there is limited evidence that ethnicity, metabolic syndrome, genetic components adduction moment, meniscal damage, knee ROM, general vitamin and β-carotene intake, serum levels IL-10 and N-propeptide of type II collagen, synovial levels aggrecan neoepitope amino acid sequence and IL-18, and fractal dimension progression on radiographic fractal signature analysis are associated with progression of knee OA. There also is limited evidence that knee OA progression is not associated with osteoporosis; past or present estrogen use; uric acid concentrations; depression or anxiety; hand grip (muscle) strength; bone marrow lesions or edema; meniscectomy; chondrocalcinosis; MRI-detected subchondral bone cysts, cartilage loss, or joint effusion; AP knee laxity; vitamin E intake; serum levels IL-1Ra and transforming growth factor-β1; and 99mTc-MDP uptake on bone scintigraphy. Conflicting evidence was found for the associations between knee OA progression and age; low bone density; serum insulin growth factor-1 level; baseline radiographic or clinical OA severity; generalized osteoarthritis; duration of symptoms; valgus alignment or malalignment in general; past knee injury; the presence of tibiofemoral osteophytes; BMI; leg length inequality; serum vitamin D level; dietary intake of vitamin C; serum C-reactive protein, IL-1β, keratan sulfate, and serum cartilage oligometric matrix protein levels, and urinary crosslinked C-telopeptide level. Inconclusive evidence was found for the determined associations between knee OA progression and the single nucleotide polymorphisms CILP_395 (cartilage intermediate-layer proteins) and rs3740199, patellofemoral alignment, and serum pentosidine levels. There also was inconclusive evidence for no associations found between knee OA progression and the single nucleotide polymorphisms rs1871054, ADAM12_48 (A disintegrin and matrix metalloproteinase domain 12), and TNA_106 (tetranectin plasminogen-binding protein), and serum levels of YKL-40 (chitinase-3-like protein 1), MMP-9 (matrix metalloproteinase-9); and TIMP-9 (tissue inhibitors of metalloproteinase). In this analysis, we tested whether conclusions from relatively small studies (less than 200) incorrectly influenced conclusions drawn from larger studies with more statistical power studying the same determinant, or that results from studies with a relatively short followup (cutoff 24 months) altered conclusions from studies with a longer followup. Our sensitivity analysis found that our conclusions did not change across the range of clinically plausible differences in followup duration or sample size regarding the strong, moderate, or conflicting evidence we found for the various presented determinants.

Discussion

We performed an updated systematic review of available evidence regarding prognostic factors for radiographic knee OA progression. We found that there is strong evidence that baseline knee pain and Heberden nodes, varus alignment, and high baseline serum levels of hyaluronic acid and TNFα are predictive for knee OA progression. There also seems to be strong evidence that sex (female), former knee injury, quadriceps strength, smoking, running, and regular performance of sports are not predictive for progression of knee OA. For all other studied factors in our review, the evidence is limited, conflicting, or inconclusive. In the best-evidence synthesis, we considered only significant associations as associated prognostic factors. However, several of the included articles had small sample sizes, which consequently can lead to lower statistical power and more often to failure to detect differences that might be present. A possible limitation to our inclusion criteria was addressed by Zhang et al. [97]. They reported that, unlike randomized trials, observational studies of patients with preexisting disease are subject to various biases that may account for discrepancies found between risk factors for disease incidence and progression. They hypothesized that risk factors actually might exist for progressive knee OA but that flaws in study design and the measure of disease progression may prevent us from detecting risk factors [97]. Having cited their article, it seems reasonable that there is the possibility that we have not determined all risk factors for progression of knee OA, because some factors might not have achieved significance in multivariable analyses in a study and thus were not included in our evidence synthesis. Nonetheless, we believe we have summarized all presently known risk factors of which a possible association with knee OA progression has been studied. We acknowledge that when applying a best-evidence synthesis, one might unjustly conclude that there may be conflicting or strong evidence for or against an association of the determinant under study with knee OA. We would have preferred to pool the data of all included studies. However, because of large variation in criteria used in the articles for defining disease, or disease progression, pooling of the data generally was not possible. We encountered six different criteria that were used for the inclusion of OA (Table 2). Another approximately 13 different definitions were applied for OA progression (Tables 3–7). Furthermore, there were differences in how the determinants under study were measured, (continuous, dichotomous, or categorical), and varying cutoff points were used. As previously described, we pooled the results for “knee pain” and “Heberden nodes” for which both results showed associations with the progression of knee OA. This is different from the conclusions we would have drawn from a best-evidence synthesis, which would show conflicting evidence for both determinants. In our opinion, it is likely that more of the conflicting associations we presented are attributable to the differences in definitions of knee OA or knee OA progression. For example, the conflicting evidence for BMI probably would be altered if statistical pooling was feasible; given that all 11 significant risk estimates (OR/RR/HR) regarding BMI were positive associations and that six of the 12 nonsignificant associations also were positive associations, it seems likely that if pooled, the combined overall association between BMI and knee OA would be a positive, significant one. In addition, the conflicting evidence for age, seven of the 10 presented analyses (70%) showed no significant association, falling just short for the criteria for ascertaining strong evidence (> 75%) for no association between age and OA progression. In the original review by Belo et al. [4] and in a review by van Dijk et al. [86], the evidence for association between varus alignment and OA progression was limited. However, a couple studies have been performed since these reviews were published that have determined significant associations with varus alignment, which enabled us to conclude that there is strong evidence for this finding. The latter is in accordance with results published in later systematic reviews by Tanamas et al. [84] and Chapple et al. [17]. Except for the original review by Belo et al., there are to our knowledge no other reviews available that have determined the predictive value of serum hyaluronic acid levels and OA progression [9]. In addition, to our knowledge, no reviews have been published assessing the predictive value of serum level TNFα for knee OA progression. We found strong evidence that sex was not associated with knee OA progression, as did Belo et al. [4]. This is in contrast to the earlier reviews published by van Dijk et al. [86] and Chapple et al. [17]. van Dijk et al. found limited evidence for the absence of an association with sex, but they included articles that used physical functioning as an outcome measure. Chapple et al. found conflicting evidence; however, their evidence was based on four analyses of three studies, which also are included in our review [21, 47, 70]. Three of the four analyses were consistent (no association); one was conflicting (significant association) [47]. Our evidence synthesis was based on 10 analyses, of which nine analyses were consistent (no association), consequently outweighing the one conflicting finding. van Dijk et al. and Chapple et al. reported limited evidence for the absence of an association between quadriceps strength and knee OA progression. This is consistent with our finding; however, our conclusion is based on more evidence. Consistent results also were found for regular performance of sports, in which van Dijk et al. reported limited and Chapple et al. reported strong evidence for absence of an association. However, in articles by Fransen and McConnell [33] and Bennell and Hinman [6] reviewing the effect of exercise therapy in patients with knee OA, the authors reported that exercise has a short-term benefit in patients with knee OA, although the magnitude of the reported benefit is small. This highlights the importance of the need to understand the working mechanism of exercise therapy. A topic of considerable interest is the potential association between BMI and knee OA progression. Previous reviewers have established a positive association between BMI and incident knee OA [10, 95]. However, the evidence for an association between BMI and progression of knee OA remains conflicting in our review, which is consistent with the findings by Belo et al. [4] and Chapple et al. [17]. Noteworthy is the lack of overlap in evidence for prognostic factors for hip and knee OA progression. In two large reviews studying prognostic factors for hip OA, Lievense et al. [49] provided strong evidence for an association between hip OA progression with type of hip migration and with atrophic bone response. They also presented strong evidence for the absence of an association with BMI. Wright et al. [90] reported strong evidence for association of hip OA progression with age, joint space width at entry, femoral head migration, femoral osteophytes, bony sclerosis, baseline hip pain, and certain hip OA severity indexes. They also provided strong evidence for the absence of an association with acetabular osteophytes. The discrepancy between the findings for hip and knee OA is unclear but could be attributable to the difference in the number of studies available determining risk factors for progression of hip or knee OA [9]. Future research on the true relationship between prognostic factors for radiographic progression of knee OA is needed, mainly on the factors where conflicting evidence was presented (eg, age, baseline OA severity, BMI). Furthermore, we presented limited, inconclusive, or conflicting evidence on many factors with potential associations with OA progression. It would be important to investigate determinants that can be influenced or modified to reduce the risk of OA progression, perhaps including metabolic syndrome, bone marrow lesions, or osteoporosis. Moreover, there would be obvious advantages to testing the effect of new or existing disease-modifying pharmacologic or surgical interventions in patients with an established increased risk of OA progression. We found strong evidence that baseline knee pain and Heberden nodes, varus alignment, and high baseline serum levels of hyaluronic acid and TNFα are predictive for knee OA progression. Sex (female), former knee injury, quadriceps strength, smoking, running, and regular performance of sports are not predictive for progression of knee OA. Many studies have been performed and are being performed determining risk factors for knee OA progression, but the variability in how OA and OA progression are defined across the relevant studies remains an impediment to pooling the available evidence. We strongly recommend future researchers use uniform definitions of determinants, disease, and disease progression; it would enable more precise determination of possible risk factors for knee OA progression through meta-analyses. The majority of the included studies used the Kellgren-Lawrence classification as definition of disease and disease progression. This classification has been criticized because the criteria have been described and interpreted differently in various studies [67]. However, the Kellgren-Lawrence criteria provide a reliable classification of knee OA and OA progression, given that the original description of the criteria are applied [67, 68]. We therefore recommend that future researchers use the Kellgren-Lawrence classification to define radiographic OA and OA progression. Furthermore, considering that some MRI scoring systems have been and currently are being developed to define knee OA progression [36], it seems preferable that the same MRI scoring system would be used universally in future studies on prognostic factors for knee OA progression. We would like to call on expert committees, such as the Osteoarthritis Research Society International (OARSI) for OA Imaging to announce their recommendations on this important topic. Below is the link to the electronic supplementary material. Supplementary material 1 (DOC 63 kb) Supplementary material 2 (DOC 291 kb)
  96 in total

Review 1.  Prognostic factors of progress of hip osteoarthritis: a systematic review.

Authors:  A M Lievense; S M A Bierma-Zeinstra; A P Verhagen; J A N Verhaar; B W Koes
Journal:  Arthritis Rheum       Date:  2002-10-15

Review 2.  Prognostic factors of progression of osteoarthritis of the knee: a systematic review of observational studies.

Authors:  J N Belo; M Y Berger; M Reijman; B W Koes; S M A Bierma-Zeinstra
Journal:  Arthritis Rheum       Date:  2007-02-15

3.  Genetic influence on the progression of radiographic knee osteoarthritis: a longitudinal twin study.

Authors:  G Zhai; D J Hart; B S Kato; A MacGregor; T D Spector
Journal:  Osteoarthritis Cartilage       Date:  2006-10-11       Impact factor: 6.576

4.  A 5-yr longitudinal study of type IIA collagen synthesis and total type II collagen degradation in patients with knee osteoarthritis--association with disease progression.

Authors:  M Sharif; J Kirwan; N Charni; L J Sandell; C Whittles; P Garnero
Journal:  Rheumatology (Oxford)       Date:  2007-03-26       Impact factor: 7.580

Review 5.  Risk factors for onset of osteoarthritis of the knee in older adults: a systematic review and meta-analysis.

Authors:  M Blagojevic; C Jinks; A Jeffery; K P Jordan
Journal:  Osteoarthritis Cartilage       Date:  2009-09-02       Impact factor: 6.576

6.  Association of leg-length inequality with knee osteoarthritis: a cohort study.

Authors:  William F Harvey; Mei Yang; Theodore D V Cooke; Neil A Segal; Nancy Lane; Cora E Lewis; David T Felson
Journal:  Ann Intern Med       Date:  2010-03-02       Impact factor: 25.391

Review 7.  Risk factors and prognostic factors of hip and knee osteoarthritis.

Authors:  Sita M A Bierma-Zeinstra; Bart W Koes
Journal:  Nat Clin Pract Rheumatol       Date:  2007-02

8.  Trabecular morphometry by fractal signature analysis is a novel marker of osteoarthritis progression.

Authors:  Virginia Byers Kraus; Sheng Feng; ShengChu Wang; Scott White; Maureen Ainslie; Alan Brett; Anthony Holmes; H Cecil Charles
Journal:  Arthritis Rheum       Date:  2009-12

9.  Serum levels of cartilage oligomeric matrix protein (COMP) correlate with radiographic progression of knee osteoarthritis.

Authors:  V Vilím; M Olejárová; S Machácek; J Gatterová; V B Kraus; K Pavelka
Journal:  Osteoarthritis Cartilage       Date:  2002-09       Impact factor: 6.576

10.  Association between valgus and varus alignment and the development and progression of radiographic osteoarthritis of the knee.

Authors:  G M Brouwer; A W van Tol; A P Bergink; J N Belo; R M D Bernsen; M Reijman; H A P Pols; S M A Bierma-Zeinstra
Journal:  Arthritis Rheum       Date:  2007-04
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  43 in total

1.  The incident tibiofemoral osteoarthritis with rapid progression phenotype: development and validation of a prognostic prediction rule.

Authors:  D L Riddle; P W Stratford; R A Perera
Journal:  Osteoarthritis Cartilage       Date:  2016-07-05       Impact factor: 6.576

2.  Defining multiple joint osteoarthritis, its frequency and impact in a community-based cohort.

Authors:  Terese R Gullo; Yvonne M Golightly; Rebecca J Cleveland; Jordan B Renner; Leigh F Callahan; Joanne M Jordan; Virginia B Kraus; Amanda E Nelson
Journal:  Semin Arthritis Rheum       Date:  2018-10-09       Impact factor: 5.532

3.  Characteristics of individual thigh muscles including cross-sectional area and adipose tissue content measured by magnetic resonance imaging in knee osteoarthritis: a cross-sectional study.

Authors:  Koun Yamauchi; Chisato Kato; Takayuki Kato
Journal:  Rheumatol Int       Date:  2019-01-28       Impact factor: 2.631

4.  Quadriceps muscle weakness is related to increased risk of radiographic knee OA but not its progression in both women and men: the Matsudai Knee Osteoarthritis Survey.

Authors:  Shigeru Takagi; Go Omori; Hiroshi Koga; Kazuo Endo; Yoshio Koga; Atsushi Nawata; Naoto Endo
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2017-04-26       Impact factor: 4.342

5.  Longitudinal association between foot and ankle symptoms and worsening of symptomatic radiographic knee osteoarthritis: data from the osteoarthritis initiative.

Authors:  K L Paterson; J Kasza; D J Hunter; R S Hinman; H B Menz; G Peat; K L Bennell
Journal:  Osteoarthritis Cartilage       Date:  2017-05-13       Impact factor: 6.576

6.  Comparison of proprioception between osteoarthritic and age-matched unaffected knees: a systematic review and meta-analysis.

Authors:  Sung-Sahn Lee; Hyun-Jung Kim; Donghee Ye; Dae-Hee Lee
Journal:  Arch Orthop Trauma Surg       Date:  2020-03-30       Impact factor: 3.067

Review 7.  Can we prevent OA? Epidemiology and public health insights and implications.

Authors:  Jos Runhaar; Yuqing Zhang
Journal:  Rheumatology (Oxford)       Date:  2018-05-01       Impact factor: 7.580

8.  Osteoarthritis: In search of phenotypes.

Authors:  Sita M Bierma-Zeinstra; Marienke van Middelkoop
Journal:  Nat Rev Rheumatol       Date:  2017-11-03       Impact factor: 20.543

9.  Deep learning risk assessment models for predicting progression of radiographic medial joint space loss over a 48-MONTH follow-up period.

Authors:  B Guan; F Liu; A Haj-Mirzaian; S Demehri; A Samsonov; T Neogi; A Guermazi; R Kijowski
Journal:  Osteoarthritis Cartilage       Date:  2020-02-06       Impact factor: 6.576

10.  The association of the progression of knee osteoarthritis with high-sensitivity CRP in community-dwelling people-the Yakumo study.

Authors:  Fumiki Kondo; Yasuhiko Takegami; Shinya Ishizuka; Yukiharu Hasegawa; Shiro Imagama
Journal:  Clin Rheumatol       Date:  2021-01-11       Impact factor: 2.980

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