Evaluating methodological quality of prognostic prediction models on patient reported outcome measurements after total hip replacement and total knee replacement surgery: a systematic review protocol

被引:4
作者
Chang, Wei-Ju [1 ,2 ]
Naylor, Justine [3 ,4 ]
Natarajan, Pragadesh [5 ]
Liu, Victor [5 ]
Adie, Sam [5 ,6 ,7 ]
机构
[1] Neurosci Res Australia NeuRA, Ctr Pain IMPACT, 139 Barker St, Randwick, NSW 2031, Australia
[2] Univ Newcastle, Coll Hlth, Sch Hlth Sci Med & Wellbeing, Callaghan, NSW 2038, Australia
[3] UNSW, Sch Clin Med, UNSW Med & Hlth, Discipline Surg,Fac Med & Hlth, South West Clin Campuses, Sydney, NSW, Australia
[4] Ingham Inst Appl Med Res, Whitlam Orthopaed Res Ctr, 1 Campbell St, Liverpool, NSW 2170, Australia
[5] Univ New South Wales, St George & Sutherland Clin Sch, St George Hosp, Clin Sci WRPitney Bldg,Short St, Kogarah, NSW 2217, Australia
[6] St George & Sutherland Ctr Clin Orthopaed Res SCO, Suite 201,Level 2 131 Princes Highway, Kogarah, NSW 2217, Australia
[7] UNSW, Sch Clin Med, UNSW Med & Hlth, Sydney, NSW, Australia
关键词
Total hip replacement; Total knee replacement; Prediction model; Systematic review; Meta-analysis; SURGICAL SITE INFECTION; PERIPROSTHETIC JOINT INFECTION; PUBLICATION BIAS; RISK CALCULATOR; ARTHROPLASTY; COMPLICATIONS; METAANALYSIS; PERFORMANCE; LIMITATION; ACCURACY;
D O I
10.1186/s13643-022-02039-7
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Prediction models for poor patient-reported surgical outcomes after total hip replacement (THR) and total knee replacement (TKR) may provide a method for improving appropriate surgical care for hip and knee osteoarthritis. There are concerns about methodological issues and the risk of bias of studies producing prediction models. A critical evaluation of the methodological quality of prediction modelling studies in THR and TKR is needed to ensure their clinical usefulness. This systematic review aims to (1) evaluate and report the quality of risk stratification and prediction modelling studies that predict patient-reported outcomes after THR and TKR; (2) identify areas of methodological deficit and provide recommendations for future research; and (3) synthesise the evidence on prediction models associated with post- operative patient-reported outcomes after THR and TKR surgeries. Methods: MEDLINE, EMBASE, and CINAHL electronic databases will be searched to identify relevant studies. Title and abstract and full-text screening will be performed by two independent reviewers. We will include (1) prediction model development studies without external validation; (2) prediction model development studies with external validation of independent data; (3) external model validation studies; and (4) studies updating a previously developed prediction model. Data extraction spreadsheets will be developed based on the CHARMS checklist and TRIPOD statement and piloted on two relevant studies. Study quality and risk of bias will be assessed using the PROBAST tool. Prediction models will be summarised qualitatively. Meta-analyses on the predictive performance of included models will be conducted if appropriate. A narrative review will be used to synthesis the evidence if there are insufficient data to perform meta-analyses. Discussion: This systematic review will evaluate the methodological quality and usefulness of prediction models for poor outcomes after THR or TKR. This information is essential to provide evidence-based healthcare for end-stage hip and knee osteoarthritis. Findings of this review will contribute to the identification of key areas for improvement in conducting prognostic research in this field and facilitate the progress in evidence-based tailored treatments for hip and knee osteoarthritis.
引用
收藏
页数:8
相关论文
共 52 条
[1]   Selecting and optimising patients for total knee arthroplasty [J].
Adie, Sam ;
Harris, Ian ;
Chuan, Alwin ;
Lewis, Peter ;
Naylor, Justine M. .
MEDICAL JOURNAL OF AUSTRALIA, 2019, 210 (03) :135-141
[2]   The Mayo Prosthetic Joint Infection Risk Score: Implication for Surgical Site Infection Reporting and Risk Stratification [J].
Berbari, Elie F. ;
Osmon, Douglas R. ;
Lahr, Brian ;
Eckel-Passow, Jeanette E. ;
Tsaras, Geoffrey ;
Hanssen, Arlen D. ;
Mabry, Tad ;
Steckelberg, James ;
Thompson, Rodney .
INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY, 2012, 33 (08) :774-781
[3]   Estimating Risk in Medicare Patients With THA: An Electronic Risk Calculator for Periprosthetic Joint Infection and Mortality [J].
Bozic, Kevin J. ;
Ong, Kevin ;
Lau, Edmund ;
Berry, Daniel J. ;
Vail, Thomas P. ;
Kurtz, Steven M. ;
Rubash, Harry E. .
CLINICAL ORTHOPAEDICS AND RELATED RESEARCH, 2013, 471 (02) :574-583
[4]   Predictors of physical functioning after total hip arthroplasty: a systematic review [J].
Buirs, L. D. ;
Van Beers, L. W. A. H. ;
Scholtes, V. A. B. ;
Pastoors, T. ;
Sprague, S. ;
Poolman, R. W. .
BMJ OPEN, 2016, 6 (09)
[5]  
Collins GS, 2015, ANN INTERN MED, V162, P55, DOI [10.1002/bjs.9736, 10.1038/bjc.2014.639, 10.7326/M14-0697, 10.1016/j.jclinepi.2014.11.010, 10.7326/M14-0698, 10.1136/bmj.g7594, 10.1111/eci.12376, 10.1016/j.eururo.2014.11.025, 10.1186/s12916-014-0241-z]
[6]   Why are Total Knee Arthroplasties Being Revised? [J].
Dalury, David F. ;
Pomeroy, Donald L. ;
Gorab, Robert S. ;
Adams, Mary Jo .
JOURNAL OF ARTHROPLASTY, 2013, 28 (08) :120-121
[7]   A guide to systematic review and meta-analysis of prediction model performance [J].
Debray, Thomas P. A. ;
Damen, Johanna A. A. G. ;
Snell, Kym I. E. ;
Ensor, Joie ;
Hooft, Lotty ;
Reitsma, Johannes B. ;
Riley, Richard D. ;
Moons, Karel G. M. .
BMJ-BRITISH MEDICAL JOURNAL, 2017, 356
[8]   The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed [J].
Deeks, JJ ;
Macaskill, P ;
Irwig, L .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2005, 58 (09) :882-893
[9]   Evaluating methodological quality of Prognostic models Including Patient-reported HeAlth outcomes iN oncologY (EPIPHANY): a systematic review protocol [J].
Deliu, Nina ;
Cottone, Francesco ;
Collins, Gary S. ;
Anota, Amelie ;
Efficace, Fabio .
BMJ OPEN, 2018, 8 (10)
[10]   Development of a Prognostic Nomogram for Predicting the Probability of Nonresponse to Total Knee Arthroplasty 1 Year After Surgery [J].
Dowsey, Michelle M. ;
Spelman, Tim ;
Choong, Peter F. M. .
JOURNAL OF ARTHROPLASTY, 2016, 31 (08) :1654-1660