Literature DB >> 30596071

Relationship between surgeon volume and outcomes in spine surgery: a dose-response meta-analysis.

Hui-Zi Li1,2, Zhong Lin2,3, Zong-Ze Li4, Zeng-Yan Yang4, Yang Zheng5, Yong Li4, Hua-Ding Lu1,2.   

Abstract

BACKGROUND: The relationship between surgeon volume and outcomes in spine surgery is unclear and published studies report inconsistent results. Therefore, a dose-response meta-analysis was conducted to clarify the influence of surgeon volume on outcomes in spine surgery.
METHODS: PubMed, Embase, and The Cochrane Library were systematically searched without language limitation for observational studies which investigated the relationship between surgeon volume and outcomes in spine surgery. The primary outcome was postoperative morbidity and the secondary outcomes consisted of mortality, length of hospital stay, readmission, and hospital costs. For binary variable and continuous variable, odds ratios (ORs) with 95% CIs and weighted mean differences (WMDs) with 95% CIs were pooled respectively. Additionally, a dose-response meta-analysis was performed for the primary outcome.
RESULTS: Eleven studies with 1,986,545 patients were included in the current meta-analysis. Pooled estimate indicated that a higher surgeon volume was associated with lower postoperative morbidity (OR, 0.62; 95% CI: 0.52-0.75; I2=93.9%), lower mortality (OR, 0.76; 95% CI: 0.66-0.87; I2=0), shorter length of hospital stay (WMD, -7.07; 95% CI: -7.08 to -7.06; I2=100%), less readmission (OR, 0.78; 95% CI: 0.72-0.85; I2=93.1%), and lower hospital costs (WMD, -25,497.47; 95% CI: -25,528.43 to -25,466.51; I2=100%). Dose-response analysis suggested a nonlinear relationship between surgeon volume and postoperative morbidity (P for nonlinearity less than 0.00001).
CONCLUSIONS: The current evidence indicate that higher surgeon volume is associated with lower morbidity and mortality, shorter length of hospital stay, less readmission, and lower hospital costs in spine surgery.

Entities:  

Keywords:  Surgeon volume; meta-analysis; spine surgery; treatment outcome

Year:  2018        PMID: 30596071      PMCID: PMC6281525          DOI: 10.21037/atm.2018.10.48

Source DB:  PubMed          Journal:  Ann Transl Med        ISSN: 2305-5839


  49 in total

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Review 2.  Measuring inconsistency in meta-analyses.

Authors:  Julian P T Higgins; Simon G Thompson; Jonathan J Deeks; Douglas G Altman
Journal:  BMJ       Date:  2003-09-06

3.  Meta-analysis for linear and nonlinear dose-response relations: examples, an evaluation of approximations, and software.

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4.  Selective referral to high-volume hospitals: estimating potentially avoidable deaths.

Authors:  R A Dudley; K L Johansen; R Brand; D J Rennie; A Milstein
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5.  Methods for trend estimation from summarized dose-response data, with applications to meta-analysis.

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Journal:  Am J Epidemiol       Date:  1992-06-01       Impact factor: 4.897

6.  Performance of the trim and fill method in the presence of publication bias and between-study heterogeneity.

Authors:  Jaime L Peters; Alex J Sutton; David R Jones; Keith R Abrams; Lesley Rushton
Journal:  Stat Med       Date:  2007-11-10       Impact factor: 2.373

7.  The effects of hospital and surgeon volume on postoperative complications after LumbarSpine surgery.

Authors:  Payam Farjoodi; Richard L Skolasky; Lee H Riley
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8.  The impact of provider volume on the outcomes after surgery for lumbar spinal stenosis.

Authors:  Hormuzdiyar H Dasenbrock; Michelle J Clarke; Timothy F Witham; Daniel M Sciubba; Ziya L Gokaslan; Ali Bydon
Journal:  Neurosurgery       Date:  2012-06       Impact factor: 4.654

Review 9.  Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group.

Authors:  D F Stroup; J A Berlin; S C Morton; I Olkin; G D Williamson; D Rennie; D Moher; B J Becker; T A Sipe; S B Thacker
Journal:  JAMA       Date:  2000-04-19       Impact factor: 56.272

10.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  PLoS Med       Date:  2009-07-21       Impact factor: 11.069

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  1 in total

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