Literature DB >> 27861604

Effectiveness and Safety of Interventions for Treating Adults with Displaced Proximal Humeral Fracture: A Network Meta-Analysis and Systematic Review.

Long Chen1,2, Fei Xing1, Zhou Xiang1.   

Abstract

PURPOSE: Network meta-analysis (NMA) is a comparatively new evidence-based technique in medical disciplines which compares the relative benefits associated with multiple interventions and obtains hierarchies of these interventions for various treatment options. We evaluated the effectiveness and safety of open reduction and internal fixation (ORIF), hemiarthroplasty (HA), reverse shoulder arthroplasty (RSA), intramedullary nailing (IN) and non-operative treatment (NOT) of displaced proximal humeral fractures in adults using Bayesian NMA of data from clinical trials.
METHOD: PUBMED, EMBASE and CENTRAL in July 2016 were searched and clinical trials that evaluated interventions for treating adults with displaced proximal humeral fractures were identified. Methodological qualities of studies were assessed by the Newcastle-Ottawa Scale and risk of bias using the Cochrane Collaboration tool. RESULT: Thirty-four trials involving 2165 participants were included in the study. RSA had significantly the highest Constant score and lower total incidence of complications than ORIF, HA and IN. Moreover, RSA resulted in a lower incidence of additional surgery than ORIF and IN. The rank of treatments in terms high Constant score was: RSA, ORIF, IN, NOT and HA. The rank for reduction in total incidence of complications was: RSA, NOT, HA, IN and ORIF. For lowering the risk of additional surgery, the rank was: RSA, NOT, HA, IN and ORIF.
CONCLUSION: RSA had the highest probability for improving functional outcome and reduction in the total incidence of complications and requiring additional surgery among the five interventions for treating adults with displaced proximal humeral fracture.

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Mesh:

Year:  2016        PMID: 27861604      PMCID: PMC5115806          DOI: 10.1371/journal.pone.0166801

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Fractures of the proximal humerus are the third most common in elderly patients after those of the hip and distal radius [1], accounting for 5% to 6% of all adult fractures [2]. Their incidence rapidly increases with age, and women are affected between two and three times as often as men [2-4]. Both non-operative and operative methods are used to treat these fractures. Non-operative treatment (NOT) involves a period of immobilization, such as an arm sling, followed by physiotherapy and exercise. It is generally the accepted treatment option for minimally displaced fractures and often used also for people with displaced fractures [3]. Operative treatment is recommended for displaced and unstable fractures and those with more complex fracture patterns to avoid painful and dysfunctional malunion [5]. The common operative treatments include open reduction and internal fixation (ORIF), hemiarthroplasty (HA), reverse shoulder arthroplasty (RSA), intramedullary nailing (IN). The debate among surgeons regarding which treatment should be used is still unresolved today and has been since the 1980s. Previous pairwise meta-analyses [3, 5–8] could not obtain hierarchies of these treatments because some had not been compared one by one. We compared the effectiveness and safety of these five treatments (NOT, ORIF, HA, RSA, IN) for displaced proximal humeral fracture in adults by network meta-analysis (NMA). Our intention was to provide hierarchies of the comparative Constant score, total incidence of complications and need for additional surgery. NMA is a powerful technique that has been used for more than a decade to rank treatment options with both direct comparisons of treatments in randomized controlled trials and indirect comparisons across trials with a common comparator. We ensured validity through careful review design and rigorous analysis of criteria for inclusion of the various studies.

Methods

Eligibility criteria and literature search

This study was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement [9]. We searched the Cochrane Register of Controlled Trials (CENTRAL, Jul 2016), PubMed (Jan 1980 to Jul 2016), and EMBASE (1980 to Jul 2016) databases to identify all studies that discussed the effectiveness and safety of NOT, ORIF, HA, RSA, IN. Keywords and MeSH terms used in the search strategy included “proximal humeral fracture”, “non-operative treatment”, “open reduction and internal fixation”, “hemiarthroplasty”, “reverse shoulder arthroplasty” and “intramedullary nailing”. The inclusion criteria were: (1) target population: patient was aged 16 years or older and presented within 3 weeks after sustaining a displaced fracture of the proximal humerus; (2) intervention: NOT, ORIF, HA, RSA, IN; (3) methodological criteria: randomized controlled trials and clinical trials. The exclusion criteria were: (1) target population: patient was aged under 16 years or presented more than 3 weeks after sustaining a displaced proximal humeral fracture; (2) methodological criteria: case reports and cohort studies. The study selection was conducted by two independent reviewers. Any disagreement between review authors was resolved by discussion.

Outcome assessment

The primary outcome measure was Constant score [10] (activity, mobility, strength and pain). The secondary outcome measures included total complications (e.g. surgical site infection, symptomatic malunion, transient paresthesia and avascular necrosis of the humeral head) and incidence of additional surgery.

Data extraction and quality assessments

Study type, country, sample size, length of follow-up and interventions data were gathered from each trial. Data on random sequence generation, allocation concealment, blinding, selective reporting and incomplete outcome data were gathered from randomized controlled trials. Data on representativeness of cases, selection of controls, definition of controls, comparability of cases and controls, ascertainment of exposure, equivalent methods of diagnosis and determination of response rate for cases and controls were gathered from controlled clinical trials. In addition, the following clinical data were extracted if available: Constant score, total number of complications and incidence of additional surgery. The Cochrane Collaboration tool for assessing risk of bias [11] was used to assess the quality of randomized controlled trials, and the Newcastle—Ottawa Scale [12] was used to assess the quality of case—control trials in terms of selection and comparability of the study groups and determination of outcomes. In evaluating randomized controlled trials by the Cochrane Collaboration tool, quality of the studies was assessed using the following criteria: (1) randomization sequence generation: assessment for selection bias; (2) allocation concealment: assessment of selection bias; (3) level of blinding (blinding of participants and blinding of outcome assessment): assessment for performance bias and detection bias; (4) incomplete outcome data: assessment for attrition bias; and (5) selective reporting: assessment for reporting bias [11]. For case—control studies, the total Newcastle—Ottawa Scale score was calculated with a maximum of nine points using the criteria listed in S1 Table [12].

Data synthesis and analysis

Two researchers extracted data independently according to the prespecified selection criteria. Disagreements were resolved by discussion. In each study, the relative risk (RR) was calculated for dichotomous outcomes (e.g. total complications and incidence of additional surgery), and treatment effects for continuous outcomes (e.g. Constant score) including mean differences (MDs) for studies with comparable outcome measures used a 95% confidence interval (CI). We performed conventional pairwise meta- analyses for all outcomes and comparisons, using a random effects model by STATA (version 12.0, Stata Corp, College Station, TX). The pooled estimates of RRs or standardized MDs and 95% CI of three outcomes (Constant score, total incidence of complication and additional surgery) were shown. NMA combines direct and indirect evidence within a Bayesian framework and was implemented using WinBUGS statistical software (version 1.4.3) using Markov Chain Monte Carlo (MCMC) methods. The models, codes and software used in this study are available free online [13]. We performed surface under the cumulative ranking curve (SUCRA) probabilities to rank the five interventions for treating displaced proximal humeral fractures [14]. SUCRA is a proportion, expressed as a percentage of the efficacy of an intervention on the outcome that would be ranked first without uncertainty, and so equals 100% when the treatment is certain to be the best and 0% when certain to be the worst [14]. Inconsistencies of this NMA were assessed by the Higgins model. Significance levels smaller than 0.05 were interpreted as evidence of inconsistency. The sensitivity analysis was performed by comparing the results of different effects models (random effects and fixed effects model).

Results

Study selection

Fig 1 shows the study selection process according to the PRISMA statement. This search strategy retrieved a total of 692 studies: 94 studies were from CENTRAL, 315 studies from PUBMED and 283 studies from EMBASE. Titles and abstracts of these references were examined by two reviewers, and 34 studies [15-48] were identified for further analysis. One study [49] was excluded because the operative treatment included two interventions (HA and ORIF). We also found that Fjalestad (2010) [50], Fjalestad (2012) [51] and Fjalestad (2014) [24] reported on the same patients at different follow-up times, so we included only one article of the multiple studies. Ten randomized controlled trials and twenty four controlled clinical trials remained and were considered for primary relevant studies, which were all included in this NMA.
Fig 1

Flow chart of selection of studies for inclusion in meta- analysis.

From: Moher D, Liberati A, TetZlaff J, Altman DG, The PRISMA Group (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med 6(7): e1000097. doi: 10.1371/journal.pmed1000097 For more information, visit www.prisma-statement.org.

Flow chart of selection of studies for inclusion in meta- analysis.

From: Moher D, Liberati A, TetZlaff J, Altman DG, The PRISMA Group (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med 6(7): e1000097. doi: 10.1371/journal.pmed1000097 For more information, visit www.prisma-statement.org.

Study characteristics and risk of bias in studies included in the review

Table 1 provides a summary of the studies in the review. A total of 2165 participants (mean age: 69 years) were included. For each intervention, 748 patients (mean age: 66.06 years) were assigned to ORIF therapy, 803 (mean age: 71.3 years) to HA therapy, 191 (mean age: 77.3 years) to RSA therapy, 267 (mean age: 61.8 years) to IN therapy and 153 (mean age: 73.9 years) to NOT therapy. Study sample size ranged from 18 to 368. All 34 studies directly compared one treatment with another. These studies were published between 1984 and 2014. Twenty four studies reported Constant score as an outcome. Thirty one studies used total complications as an outcome and twenty studies reported incidence of additional surgery as an outcome.
Table 1

Characteristics of Included Studies Comparing Different treatments for displaced proximal humeral fracture.

StudyCountryInterventionsSample size (mean age: y)Follow-up (month)Study designFor analysis
Dietrich 2008GermanyORIF vs HA52(82)/59(80)12RCConstant score; Total complications; Incidence of additional surgeries
Bastian 2009SwitzerlandORIF vs HA44(60)/33(60)60PCConstant score; Total complications; Incidence of additional surgeries
Solberg 2009USAORIF vs HA38(66.5)/48(67.4)36RCConstant score; Total complications; Incidence of additional surgeries
Wang 2009ChinaORIF vs HA12(49)/10(49)20RCConstant score; Total complications
Zhang 2010ChinaORIF vs HA28(66.5)/30(68.9)28RCConstant score; Total complications
Kim 2011KoreaORIF vs HA38(64.9)/26(64.9)24RCConstant score; Total complications; Incidence of additional surgeries
Wild 2011USAORIF vs HA42(56.9)/15(66.4)35RCConstant score; Total complications; Incidence of additional surgeries
Spross 2011SwitzerlandORIF vs HA22(75)/22(76)30RCConstant score; Total complications; Incidence of additional surgeries
Cai 2012ChinaORIF vs HA13(72)/19(72)24RCTConstant score
Lu 2012ChinaORIF vs HA26(67)/22(67)6RCConstant score; Total complications
Gallinet 2009FranceHA vs RSA17(74)/16(74)14.5RCConstant score; Total complications
Young 2010New ZealandHA vs RSA10(75.5)/10(77.2)33RCTotal complications
Garrigues 2012USAHA vs RSA9(69.3)/10(80.5)43.2RCTotal complications
Boyle 2013New ZealandHA vs RSA313(71.9)/55(79.6)12RCIncidence of additional surgeries
Cuff 2013USAHA vs RSA23(74.4)/24(74.4)24PCTotal complications; Incidence of additional surgeries
Fu 2013ChinaHA vs RSA12(69.5)/11(81.2)43.2RCTotal complications
Baudi 2014ItalyHA vs RSA28(71.4)/25(77.3)27.5RCConstant score; Total complications
Chalmers 2014USAHA vs RSA9(72)/9(77)12RCTotal complications
Sebastia-Forcada 2014SpainHA vs RSA30(73.3)/31(74.7)28.5RCTConstant score; Total complications; Incidence of additional surgeries
Gradl 2009GermanyORIF vs IN76(63)/76(62)12PCConstant score; Total complications; Incidence of additional surgeries
Matziolis 2010GermanyORIF vs IN11(54.8)/11(55.6)36RCConstant score; Total complications; Incidence of additional surgeries
Smejkal 2011ChechORIF vs IN28(61)/27(61)2–18RCTConstant score; Total complications
Trepat 2011SpainORIF vs IN14(68.3)/15(64.5)6–12RCTotal complications; Incidence of additional surgeries
Zhu 2011ChinaORIF vs IN26(50.5)/25(54.8)12–36RCTConstant score; Total complications; Incidence of additional surgeries
Lekic 2012USAORIF vs IN12(59)/11(60)3–46RCTotal complications; Incidence of additional surgeries
Konrad 2012SwitzerlandORIF vs IN153(65.4)/58(64.8)3–12PCConstant score; Total complications; Incidence of additional surgeries
Von 2014GermanyORIF vs IN28(61)/44(61)38–82RCTotal complications; Incidence of additional surgeries
Zyto 1997SwedenORIF vs NOT20(73)/20(75)36–60RCTConstant score; Total complications
Olerud 2011aSwedenORIF vs NOT30(74)/30(74)24RCTConstant score; Total complications; Incidence of additional surgeries
Kollig 2003GermanyORIF vs NOT13(52.5)/ 9(52.7)74–82PCConstant score
Fjalestad 2014NorwayORIF vs NOT25(72.2)/25(73.1)24RCTConstant score; Total complications; Incidence of additional surgeries
Stableforth 1984EnglandHA vs NOT16(65.6)/16(70.1)6–48RCTTotal complications
Olerud 2011bSwedenHA vs NOT27(75.8)/28(77.5)24RCTConstant score; Total complications; Incidence of additional surgeries
Boons 2012NetherlandsHA vs NOT25(76.4)/25(79.9)24RCTConstant score; Total complications; Incidence of additional surgeries

ORIF: open reduction and internal fixation; HA: hemiarthroplasty; RSA: reverse shoulder arthroplasty; IN: intramedullary nailing; NOT: Non-operative treatment; RC: Retrospective comparative; PC: Prospective comparative; RCT: Randomised controlled trial; y: years.

ORIF: open reduction and internal fixation; HA: hemiarthroplasty; RSA: reverse shoulder arthroplasty; IN: intramedullary nailing; NOT: Non-operative treatment; RC: Retrospective comparative; PC: Prospective comparative; RCT: Randomised controlled trial; y: years. Of the ten randomized controlled trials analyzed [17, 19, 24, 34–37, 40, 47, 48], the Cochrane Collaboration tool indicated that seven trials [17, 24, 34–37, 47] used adequate randomization and six trials [17, 24, 34–37] used adequate allocation concealment. One study [36] reported outcome assessment blinding and also one study [19] was free of selective reporting. Four trials [23, 34–36, 47] mentioned incomplete outcome data reporting (Fig 2). As assessed by the Newcastle—Ottawa Scale, six case—control studies [21, 22, 27, 30, 38, 39] were awarded a score of nine points, eleven studies [15, 16, 20, 25, 28, 29, 31, 41, 42, 45, 46] received a score of eight points, six studies [18, 23, 26, 33, 43, 44] received a score of seven points, and only one study [32] received a score of six points (Table 2).
Fig 2

Risk of bias summary: review authors’ judgements about each risk of bias item for each included study.

Table 2

Quality assessment of case—control studies comparing different treatments for displaced proximal humeral fracture using Newcastle—Ottawa Scale.

Author groupSelectionComparabilityExposure
Adequat-e case definitio-nRepresentativeness of the casesSelectio-n of Control-sDefinitio-n of ControlsComparability of cases and controlsAscertainm-ent of exposureSame method of ascertainmen-tNon Response rate
Bastian 200911111111
Baudi 201411111111
Boyle 20131111-111
Chalmers 201411112111
Cuff 201311112111
Dietrich 20081111111-
Fu 201311111111
Gallinet 200911111111
Garrigues 20121111111-
Gradl 200911112111
Kim 201111111111
Kollig 200311111111
Konrad 201211112111
Lekic 201211111111
Lu 20121111-11-
Matziolis 20101111111-
Solberg 200911112111
Spross 201111112111
Trepat 201111111111
Von 201411111111
Wang 20091111-111
Wild 20111111111-
Young 201011111111
Zhang 201011111111

Constant score

For the primary outcome, 24 trials were included in the NMA. The following interventions for treating displaced proximal humeral fracture were tested in the trials: ORIF versus HA (10 trials with 533 patients) [15, 19, 23, 28, 32, 38, 39, 43, 44, 46]; HA versus RSA (3 trials with 147 patients) [16, 25, 36]; HA versus NOT (2 trials with 96 patients) [17, 34]; ORIF versus IN (5 trials with 491 patients) [27, 30, 33, 37, 47]; ORIF versus NOT (4 trials with 152 patients) [24, 29, 35, 48]. The network of comparisons on Constant score is shown in Fig 3. Table 3 provides hierarchies of effect size on Constant score. Ranking graphs of the distribution of probabilities of Constant score are displayed in Fig 4. The direct and indirect comparisons indicated that HA significantly decreased the Constant score compared with the other groups and RSA was responsible for a significantly higher Constant score compared with the other groups. Based on SUCRA, HA ranked first (0.9675), the second was NOT (0.5905), IN was third (0.4805), the fourth was ORIF (0.4520) with RSA being last (0.0095).
Fig 3

Network of treatment comparisons for constant score.

The size of the node corresponds to the total sample size of treatments. Directly comparable treatments are linked with a line, the thickness of which represents the number of trials that were compared. ORIF: open reduction and internal fixation; HA: hemiarthroplasty; RSA: reverse shoulder arthroplasty; IN: intramedullary nailing; NOT: Non-operative treatment.

Table 3

Results for constant score, from network meta-analysis (lower diagonal part) and pairwise meta-analysis (upper diagonal part).

ORIF6.90(1.77–12.04)NA-0.175(-3.11–2.76)-1.45(-7.12–4.22)
5.48(2.15–8.66)HA-14.68(-19.14–10.22)NA1.56(-5.48–8.60)
-9.15(-16.61–1.6)-14.63(-21.26–8.11)RSANANA
0.04(-5.17–5.17)-5.44(-11.68–0.52)9.19(0.44–18.13)INNA
1.29(-4.45–7.08)-4.19(-10.15–1.88)10.44(1.82–19.49)1.25(-6.16–9.68)NOT

ORIF: open reduction and internal fixation; HA: hemiarthroplasty; RSA: reverse shoulder arthroplasty; IN: intramedullary nailing; NOT: Non-operative treatment

Fig 4

Ranking of treatment strategies based on the probability of their effects on the outcome of constant score.

ORIF: open reduction and internal fixation; HA: hemiarthroplasty; RSA: reverse shoulder arthroplasty; IN: intramedullary nailing; NOT: Non-operative treatment.

ORIF: open reduction and internal fixation; HA: hemiarthroplasty; RSA: reverse shoulder arthroplasty; IN: intramedullary nailing; NOT: Non-operative treatment

Network of treatment comparisons for constant score.

The size of the node corresponds to the total sample size of treatments. Directly comparable treatments are linked with a line, the thickness of which represents the number of trials that were compared. ORIF: open reduction and internal fixation; HA: hemiarthroplasty; RSA: reverse shoulder arthroplasty; IN: intramedullary nailing; NOT: Non-operative treatment.

Ranking of treatment strategies based on the probability of their effects on the outcome of constant score.

ORIF: open reduction and internal fixation; HA: hemiarthroplasty; RSA: reverse shoulder arthroplasty; IN: intramedullary nailing; NOT: Non-operative treatment.

Total incidence of complications

For this outcome, 31 trials were included in the NMA. The network of comparisons on total incidence of complications is shown in Fig 5. Table 4 provides hierarchies of effect size on their incidence. The ranking graphs of distribution of probabilities of incidence can be seen in Fig 6. Direct and indirect comparisons indicate that RSA results in a lower incidence of complications than ORIF, HA and IN. Based on SUCRA, RSA ranked first (0.9248), second was NOT (0.8198), HA was third (0.4678), the fourth was IN (0.2318) with ORIF last (0.0560).
Fig 5

Network of treatment comparisons for incidence of total complications.

The size of the node corresponds to the total sample size of treatments. Directly comparable treatments are linked with a line, the thickness of which represents the number of trials that were compared. ORIF: open reduction and internal fixation; HA: hemiarthroplasty; RSA: reverse shoulder arthroplasty; IN: intramedullary nailing; NOT: Non-operative treatment.

Table 4

Results for total complications, from network meta-analysis (lower diagonal part) and pairwise meta-analysis (upper diagonal part).

ORIF1.35(0.95–1.92)NA1.08(0.76–1.53)1.97(0.43–9.08)
1.95(1.08–3.16)HA2.35(1.18–4.67)NA1.52(0.86–2.70)
7.61(2.46–18.9)3.93(1.44–8.8)RSANANA
1.27(0.69–2.1)0.7(0.31–1.38)0.22(0.05–0.6)INNA
5.18(2.1–10.22)2.73(1.2–5.45)0.86(0.23–2.5)4.36(1.5–9.66)NOT

ORIF: open reduction and internal fixation; HA: hemiarthroplasty; RSA: reverse shoulder arthroplasty; IN: intramedullary nailing; NOT: Non-operative treatment

Fig 6

Ranking of treatment strategies based on the probability of their effects on the outcome of incidence of total complications.

ORIF: open reduction and internal fixation; HA: hemiarthroplasty; RSA: reverse shoulder arthroplasty; IN: intramedullary nailing; NOT: Non-operative treatment.

ORIF: open reduction and internal fixation; HA: hemiarthroplasty; RSA: reverse shoulder arthroplasty; IN: intramedullary nailing; NOT: Non-operative treatment

Network of treatment comparisons for incidence of total complications.

The size of the node corresponds to the total sample size of treatments. Directly comparable treatments are linked with a line, the thickness of which represents the number of trials that were compared. ORIF: open reduction and internal fixation; HA: hemiarthroplasty; RSA: reverse shoulder arthroplasty; IN: intramedullary nailing; NOT: Non-operative treatment.

Ranking of treatment strategies based on the probability of their effects on the outcome of incidence of total complications.

ORIF: open reduction and internal fixation; HA: hemiarthroplasty; RSA: reverse shoulder arthroplasty; IN: intramedullary nailing; NOT: Non-operative treatment.

Incidence of additional surgery

For this outcome, 20 trials were included in the NMA. The network of comparisons on incidence of additional surgery is shown in Fig 7. Table 5 provides the hierarchies of effect size on incidence of additional surgery, with ranking graphs of the distribution of probabilities on incidence of additional surgery in Fig 8. Only indirect comparison indicates that RSA results in a lower incidence of additional surgery than ORIF and IN. Both direct and indirect comparisons suggest that HA results in a lower incidence of additional surgery than ORIF. Based on SUCRA, RSA ranks first (0.9450), NOT second (0.6870), the third was HA (0.5538), the fourth was IN (0.2272) with ORIF last (0.0870).
Fig 7

Network of treatment comparisons for incidence of additional surgery.

The size of the node corresponds to the total sample size of treatments. Directly comparable treatments are linked with a line, the thickness of which represents the number of trials that were compared. ORIF: open reduction and internal fixation; HA: hemiarthroplasty; RSA: reverse shoulder arthroplasty; IN: intramedullary nailing; NOT: Non-operative treatment.

Table 5

Results for incidence of additional surgery, from network meta-analysis (lower diagonal part) and pairwise meta-analysis (upper diagonal part).

ORIF2.15(1.14–6.13)NA0.98(0.56–1.69)3.64(0.42–31.33)
6.14(1.18–24.74)HA2.89(0.62–13.44)NA1.98(0.36–10.97)
132.29(2.01–894.98)19.22(0.75–119.46)RSANANA
1.93(0.37–6.23)0.5(0.04–2.08)0.2(0–0.84)INNA
13.91(0.81–65.2)2.94(0.18–14.2)0.98(0.01–5.45)16.78(0.32–71.31)NOT

ORIF: open reduction and internal fixation; HA: hemiarthroplasty; RSA: reverse shoulder arthroplasty; IN: intramedullary nailing; NOT: Non-operative treatment

Fig 8

Ranking of treatment strategies based on the probability of their effects on the outcome of incidence of additional surgery.

ORIF: open reduction and internal fixation; HA: hemiarthroplasty; RSA: reverse shoulder arthroplasty; IN: intramedullary nailing; NOT: Non-operative treatment.

ORIF: open reduction and internal fixation; HA: hemiarthroplasty; RSA: reverse shoulder arthroplasty; IN: intramedullary nailing; NOT: Non-operative treatment

Network of treatment comparisons for incidence of additional surgery.

The size of the node corresponds to the total sample size of treatments. Directly comparable treatments are linked with a line, the thickness of which represents the number of trials that were compared. ORIF: open reduction and internal fixation; HA: hemiarthroplasty; RSA: reverse shoulder arthroplasty; IN: intramedullary nailing; NOT: Non-operative treatment.

Ranking of treatment strategies based on the probability of their effects on the outcome of incidence of additional surgery.

ORIF: open reduction and internal fixation; HA: hemiarthroplasty; RSA: reverse shoulder arthroplasty; IN: intramedullary nailing; NOT: Non-operative treatment.

Inconsistency and sensitivity analysis

In general, the results obtained from the pairwise meta-analysis closely matched those of the NMA and no inconsistencies were identified in the NMA when using the Higgins model (Chi squared = 1.74, P = 0.1871 > 0.05). The sensitivity analysis was performed by comparing the results of different effects models (random effects and fixed effects models). The results of the random effects model (effective number of parameters [pD] = 38.7 and deviance information criterion [DIC] = 278.9) were similar to the fixed-effect model (pD = 28.1 and DIC = 322.9).

Discussion

The NMA provided hierarchies for the Constant score, incidence of total complications and additional surgery in adult with displaced proximal humeral fracture treated with different methods, which had advantages over comparison with traditional pairwise meta-analyses [3, 5–8]. The meta-analysis indicated that: (1) HA significantly decreased Constant score compared with the other groups and RSA resulted in significantly higher Constant score compared with the other groups; (2) RSA resulted in a lower incidence of complications than ORIF, HA and IN; (3) RSA caused a lower incidence of additional surgery than ORIF and IN. (4) The rank of treatments in terms of Constant score was: RSA, ORIF, IN, NOT and HA; (5) For reduction in total incidence of complications, the rank of treatments was: RSA, NOT, HA, IN and ORIF; (6) The rank of treatments for lowering risk of additional surgery was: RSA, NOT, HA, IN and ORIF. RSA group included patients with higher mean age (77.3 years) and IN group included patients with lower mean age (61.8 years) than other treatments. A total of 2165 participants with the mean age of 69 years were included in this network meta-analysis. So the findings were suitable for the patients with mean age of more than 60 years. There are some particular strengths to the analysis in this NMA: (1) It was conducted using common methods and was designed to allow for reproducible research selection and inclusion; (2) a broad and extensive search strategy was used to minimize the possibility of publication bias; (3) the study overcomes a major limitation of conventional pairwise meta-analysis by combining direct and indirect evidence of the efficacy of treatment strategies; (4) the SUCRA and posterior probabilities of outcomes were used to distinguish the subtle differences among five treatments. However, this analysis has several limitations. Firstly, randomized controlled trials and case—control studies were both included in the analysis, and the case—control studies may have reduced the significance of the conclusions. Secondly, the lack of any treatment-provider blinded studies may have introduced detection bias, in which the assessors are likely to have preferentially attributed the occurrence of injury to the control group. Thirdly, some of the study characteristics such as type of fracture, age and performance bias might be potential obstacles to the outcomes of our study. Finally, these interventions (NOT, ORIF, HA, RSA and IN) may have different indications, so the comparisons between treatments within trials and sample for each trial may have interacted in ways that this analysis would not reveal. However, our network meta-analysis can still provide useful information about effectiveness and safety of interventions for treating adults with displaced proximal humeral fracture to the surgeons. Xie [52] previously reported that operative treatments (including ORIF and HA) did not significantly improve Constant score and led to a higher incidence of postoperative complications compared with NOT. Li [6] also indicated that ORIF did not improve the Constant score when compared with NOT. Dai [5] showed that ORIF resulted in better Constant score than HA, and HA could reduce the rate of revisions and the method-related complications significantly. Wang [7] stated that treatment with ORIF caused no significant difference in Constant score and total number of complications compared with IN. Compared with HA, Shukla [53] reported that RSA resulted in more favorable Constant scores and Zhang [8] demonstrated that RSA was associated with a lower rate of total complications. Our network analysis showed that RSA resulted in significantly higher Constant score compared with the other four interventions. We also found that RSA resulted in lower total incidence of complications than ORIF, HA and IN. RSA also resulted in a lower incidence of additional surgery than ORIF and IN. However, we also use the SUCRA and posterior probabilities of outcomes to distinguish the subtle differences among five treatments. For achieving higher Constant scores the rank on treatments was: RSA, ORIF, IN, NOT and HA. For reducing incidence of total complications, the rank on treatments was: RSA, NOT, HA, IN and ORIF. For lowering risk of additional surgery, the rank on treatments was: RSA, NOT, HA, IN and ORIF.

Conclusions

In summary, this Bayesian NMA of data from clinical trials demonstrated that RSA has the highest probability of improving the functional outcome and reducing the total incidence of complications and additional surgery among the five interventions for treating adults with displaced proximal humeral fracture.

Newcastle-Ottawa Scale (NOS) for assessing the quality of case control studies in meta-analyses.

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PRISMA Checklist for this meta-analysis.

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  45 in total

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2.  Hemiarthroplasty versus reverse shoulder arthroplasty: comparative study of functional and radiological outcomes in the treatment of acute proximal humerus fracture.

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Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  Int J Surg       Date:  2010-02-18       Impact factor: 6.071

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Authors:  Doerte Matziolis; Max Kaeaeb; Souska Sophie Zandi; Carsten Perka; Stefan Greiner
Journal:  Injury       Date:  2010-10       Impact factor: 2.586

5.  Reverse total shoulder arthroplasty for acute proximal humeral fracture: comparison to open reduction-internal fixation and hemiarthroplasty.

Authors:  Peter N Chalmers; William Slikker; Nathan A Mall; Anil K Gupta; Zain Rahman; Daniel Enriquez; Gregory P Nicholson
Journal:  J Shoulder Elbow Surg       Date:  2013-09-27       Impact factor: 3.019

6.  Locking intramedullary nails and locking plates in the treatment of two-part proximal humeral surgical neck fractures: a prospective randomized trial with a minimum of three years of follow-up.

Authors:  Yiming Zhu; Yi Lu; Jiewei Shen; Jin Zhang; Chunyan Jiang
Journal:  J Bone Joint Surg Am       Date:  2011-01-19       Impact factor: 5.284

7.  Surgical treatment of three and four-part proximal humeral fractures.

Authors:  Brian D Solberg; Charles N Moon; Dennis P Franco; Guy D Paiement
Journal:  J Bone Joint Surg Am       Date:  2009-07       Impact factor: 5.284

8.  Reverse shoulder arthroplasty versus hemiarthroplasty for acute proximal humeral fractures. A blinded, randomized, controlled, prospective study.

Authors:  Emilio Sebastiá-Forcada; Román Cebrián-Gómez; Alejandro Lizaur-Utrilla; Vicente Gil-Guillén
Journal:  J Shoulder Elbow Surg       Date:  2014-07-30       Impact factor: 3.019

9.  [Complex fractures of the humeral head: which long-term results can be expected?].

Authors:  E Kollig; F Kutscha-Lissberg; B Roetman; D Dielenschneider; G Muhr
Journal:  Zentralbl Chir       Date:  2003-02       Impact factor: 0.942

10.  Hemiarthroplasty versus reverse total shoulder arthroplasty for acute proximal humerus fractures in elderly patients.

Authors:  Grant E Garrigues; Peter S Johnston; Matthew D Pepe; Bradford S Tucker; Matthew L Ramsey; Luke S Austin
Journal:  Orthopedics       Date:  2012-05       Impact factor: 1.390

View more
  6 in total

1.  Should the supraspinatus tendon be excised in the case of reverse shoulder arthroplasty for fracture?

Authors:  Nicolas Bonnevialle; Xavier Ohl; Philippe Clavert; Luc Favard; Anne Frégeac; Laurent Obert; Christophe Chantelot; David Gallinet; Pascal Boileau
Journal:  Eur J Orthop Surg Traumatol       Date:  2019-10-04

2.  Comparison of surgical and non-surgical treatments for 3- and 4-part proximal humerus fractures: A network meta-analysis.

Authors:  Sebastian Orman; Amin Mohamadi; Joseph Serino; Jordan Murphy; Philip Hanna; Michael J Weaver; George Dyer; Ara Nazarian; Arvind von Keudell
Journal:  Shoulder Elbow       Date:  2019-02-28

3.  Comparison of "Bilboquet" device and locking plate for surgical treatment of proximal humerus complex fractures at two years follow-up.

Authors:  Yaniv Bismuth; Adeline Cambon-Binder; Alain Sautet; Levon Doursounian; Thomas Gregory; Claire Bastard
Journal:  Int Orthop       Date:  2021-02-24       Impact factor: 3.075

4.  Effectiveness and safety of surgical interventions for treating adolescent idiopathic scoliosis: a Bayesian meta-analysis.

Authors:  Long Chen; Zeyu Sun; Jingming He; Yunwen Xu; Zhuhai Li; Qian Zou; Bo Li
Journal:  BMC Musculoskelet Disord       Date:  2020-07-02       Impact factor: 2.362

Review 5.  An update on reverse total shoulder arthroplasty: current indications, new designs, same old problems.

Authors:  Thomas Kozak; Stefan Bauer; Gilles Walch; Saad Al-Karawi; William Blakeney
Journal:  EFORT Open Rev       Date:  2021-03-01

6.  Shoulder Arthroplasty for the Treatment of Proximal Humeral Fractures: Current Concepts.

Authors:  Geraldo da Rocha Motta Filho; Marcus Vinícius Galvão Amaral
Journal:  Rev Bras Ortop (Sao Paulo)       Date:  2021-03-31
  6 in total

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