| Literature DB >> 31542788 |
Wen-Ge Wang1, Li-Miao Dong2, Sheng-Wen Li3.
Abstract
BACKGROUND Degenerative spinal disorders have adverse impacts on patients' quality of life. Because the main objectives of any surgical intervention are to improve health-related quality of life and to reduce disability, instruments capable of measuring patient-oriented outcomes are now increasingly used. The aim of this study was to evaluate the use of the Short Form 36 Health Survey Questionnaire (SF36) for assessing patient-oriented outcomes of degenerative cervical myelopathy surgery. MATERIAL AND METHODS A literature search was conducted in electronic databases (Google Scholar, Ovid SP, PubMed, Science Direct, and Springer). Studies were included if they reported SF36 scores by following patients for at least 12 months. Random effects meta-analyses were performed to estimate changes in SF36 physical/mental component summary (SF36-PCS/MCS), SF36 dimensional, Japanese Orthopedics Association (JOA)/modified JOA (mJOA), and Neck Disability Index (NDI) scores by latest follow-up. RESULTS Fourteen studies (1966 patients; age 58.2 years [95% confidence interval (CI), 56.6 to 59.9]; 60% males [95% CI, 55 to 64]; follow-up 24.8 months [95% CI, 20.9 to 28.7]) were included in meta-analysis. SF36-PCS (6.60 [95% CI, 4.91 to 8.28]; p<0.00001), SF36-MCS (6.33 [95% CI, 4.31 to 8.35]; p<0.00001) and SF36 dimensional (p<0.05) scores improved significantly at latest follow-up. Surgery significantly improved JOA/mJOA (3.43 [95% CI, 2.80 to 4.06]; p<0.00001) and NDI (-13.70 [95% CI, -17.35 to -10.06]; p<0.00001) scores also. Change in SF36-PCS score were correlated (r=-0.554) with change in NDI score, whereas change in SF36-MCS score was correlated with change in JOA score (r=0.550). CONCLUSIONS Surgery for degenerative cervical myelopathy is associated with significantly improved SF36-measured patient-oriented outcomes.Entities:
Year: 2019 PMID: 31542788 PMCID: PMC6774268 DOI: 10.12659/MSM.916764
Source DB: PubMed Journal: Med Sci Monit ISSN: 1234-1010
Figure 1A flowchart of the study screening and selection processes.
Figure 2Forest graph showing the changes in the SF36-PCS and the SF36-MCS score by the latest follow-up.
Figure 3Forest graph showing the changes in the JOA/mJOA and NDI scores by the latest follow-up.
Correlation between SF36 and NDI or JOA/mJOA scores.
| Change in JOA/mJOA score | Change in NDI score | |
|---|---|---|
| Change in SF36-PCS score | −0.027 (p=0.935) | −0.554 (p=0.049) |
| Change in SF36-MCS score | 0.550 (p=0.158) | −0.07 (p=0.945) |
| Baseline SF36-PCS score | 0.891 (p<0.00001) | −0.647 (p=0.017) |
| Baseline SF36-MCS score | 0.899 (p=0.0024) | −0.620 (p=0.075) |
Important characteristics of the included studies.
| Study | n | Follow-up | Design | Surgery | Age (years) | % males | Disease duration (months) | Hospital stay (days) | Baseline scores | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Duration (months) | Rate (%) | JOA | NDI | SF36-PCS | SF36-MCS | ||||||||
| Auffinger 2013 [ | 30 | 12 | 100% | RETRO | ACDF | 57.5±13 | 48 | 1.7±1.3 | 29.3±13.9 | 37±7.1 | 47.8±7.9 | ||
| Badhiwala 2018 [ | 193 | 24 | 93% | PROSP | Ant/Post | 52.4±10 | 65 | 27±36 | 15.8±1.7 | 31.3±18.8 | 39.7±9.8 | 42.7±12.8 | |
| Fehlings 2013 [ | 95 | 12 | 87% | PROSP | LMN/LAMP | 62.8±11 | 62 | 27±42.8 | 11.8±2.9 | 43.1±19.3 | 35.7±9.6 | 39.9±10.8 | |
| Fehlings 2013 [ | 95 | 12 | 87% | PROSP | CORP/DISC | 52.5±11 | 57 | 26±48 | 13.7±2.5 | 41±21.9 | 36.6±9.8 | 40.2±11 | |
| Fehlings 2017 [ | 166 | 24 | 79% | PROSP | LMN-fusion | 61.4±11 | 68 | 32±40 | 7.8±7.2 | 12.3±2.9 | 39.2±21 | 33.1±9.3 | 41±14.6 |
| Fehlings 2017 [ | 100 | 24 | 79% | PROSP | LAMP | 60.7±11 | 67 | 23±33 | 11.6±8.9 | 11.5±2.8 | 41.8±21 | 35.1±10 | 38.9±12.5 |
| Gerling 2017 [ | 203 | 24 | RETRO | Ant/Post | 57.7±9.3 | 57 | 20.8±10.8 | 35.5±8.4 | 40±13.3 | ||||
| Ghogawala 2011 [ | 28 | 12 | 92% | PROSP | ACDF | 60±9.3 | 57 | 4±1.7 | 11.6±2.3 | 36.2±23.5 | 32.7±10.3 | ||
| Ghogawala 2011 [ | 22 | 12 | 92% | PROSP | LMN-midline | 64±9.3 | 73 | 2.6±1.4 | 13.4±2.3 | 36.2±23.2 | 35.3±11.8 | ||
| Kopjar 2018 [ | 60 | 24 | 93% | PROSP | Ant/Post | 59.4±12 | 61 | 24.5±28 | 9.7±9.5 | 10.2±0.5 | 44.6±12.7 | 30.8±4.6 | 37±8.1 |
| Kopjar 2018 [ | 60 | 24 | 93% | PROSP | Ant/Post | 62.5±12 | 35 | 21.6±37 | 14.4±13 | 6.83±1 | 54.5±22.7 | 29±8.5 | 37±15 |
| Li 2013 [ | 42 | 80 | 21% | RETRO | ACCF | 51.3±6.5 | 65 | 8.1±2 | |||||
| Li 2013 [ | 47 | 80 | 21% | RETRO | ACDF | 51.3±6.5 | 65 | 8.2±1.9 | |||||
| Liu 2012 [ | 71 | 31 | 90% | RETRO | ACCF | 53.9±1 | 62 | 27.6±46.4 | 14.9±5.3 | 10.5±2.5 | |||
| Liu 2012 [ | 45 | 31 | 90% | RETRO | LMN-fusion | 57.1±10 | 67 | 33.5±34.6 | 16.6±3 | 9.5±2.7 | |||
| Roguskki 2014 [ | 21 | 12 | PROSP | ACDF | 62.4±9.5 | 43 | 13.2±2.5 | 37.4±24.8 | 37.5±9.8 | ||||
| Roguskki 2014 [ | 28 | 12 | PROSP | LMN-Midline | 62.2±10 | 75 | 13.1±2.2 | 30.7±20.4 | 36.7±12.5 | ||||
| Seng 2013 [ | 52 | 24 | 81% | PROSP | LAMP | 60.6±11 | 77 | 5.4±1.4 | 11±3 | 32.1±22.5 | |||
| Seng 2013 [ | 64 | 24 | 81% | PROSP | CORP/DISC | 58.6±11 | 62 | 3.7±1.5 | 11±3 | 35.9±21 | |||
| Singh 2006 [ | 105 | 12 | PROSP | Ant/Post | 58±9.3 | 65 | 39.7±20.5 | 47.8±20.5 | |||||
| Zhang 2015 [ | 142 | 24 | 99% | PROSP | Ant/Post | 60 | 40 | ||||||
| Zhou 2015 [ | 113 | 12 | 100% | PROSP | Ant/Post | 57.6±10 | 40 | 12.5±2.5 | 37.9±6.6 | 39.5±5.54 | |||
ACCF – anterior cervical corpectomy and fusion; ACDF – anterior cervical discectomy and fusion; Ant/Post – anterior/posterior approach; CORP/DISC – corpectomy/discectomy; JOA – Japanese Orthopedic Association; LAMP – laminoplasty; LMN – laminectomy; NDI – neck disability index; PDF – posterior decompression and fusion; PROSP – prospective; RETRO – retrospective; RCT – randomized controlled trial; SF36-PCS/MCS – short form 36 – physical/mental component score. Values with ± represent standard deviation.
Quality assessment of the included study with New Castle-Ottawa Quality Assessment Scale.
| Study | Representativeness of exposed cohort | Selection of non-exposed cohort | Ascertainment of exposure | Demonstration that outcome of interest was not present at start of study | Comparability of cohorts based on design or analysis | Assessment of outcome | Was follow-up long enough for outcomes to occur | Adequacy of follow up completion of cohorts |
|---|---|---|---|---|---|---|---|---|
| Auffinger 2013 [ | * | * | * | * | * | * | ||
| Badhiwala 2018 [ | * | * | * | * | * | * | ||
| Fehlings 2013 [ | * | * | * | ** | * | * | * | |
| Fehlings 2017 [ | * | * | * | ** | * | * | * | |
| Gerling 2017 [ | * | * | * | * | * | * | ||
| Ghogawala 2011 [ | * | * | * | ** | * | * | * | |
| Kopjar 2018 [ | * | * | * | ** | * | * | * | |
| Latimer 2002 [ | * | * | * | ** | * | * | * | |
| Li 2013 [ | * | * | * | ** | * | * | * | |
| Liu 2012 [ | * | * | * | ** | * | * | * | |
| Roguskki 2014 [ | * | * | * | ** | * | * | * | |
| Seng 2013 [ | * | * | * | ** | * | * | * | |
| Zhang 2015 [ | * | * | * | * | * | * | ||
| Zhou 2015 [ | * | * | * | * | * | * |