Methods matter: clinical prediction models will benefit sports medicine practice, but only if they are properly developed and validated

被引：21

作者：

Bullock, Garrett S. ^{[1
,2
]}

Hughes, Tom ^{[3
,4
]}

Sergeant, Jamie C. ^{[5
,6
]}

Callaghan, Michael J. ^{[3
,4
,5
]}

Riley, Richard ^{[7
]}

Collins, Gary ^{[8
,9
]}

机构：

[1] Univ Oxford, Ctr Sport Exercise & Osteoarthrit Res Versus Arth, Oxford, England

[2] Univ Oxford, Nuffield Dept Orthopaed Rheumatol & Musculoskelet, Oxford OX3 7LD, England

[3] AON Training Complex, Manchester United Football Club, Manchester, Lancs, England

[4] Manchester Metropolitan Univ, Dept Hlth Profess, Manchester, Lancs, England

[5] Univ Manchester, Manchester Acad Hlth Sci Ctr, Ctr Epidemiol Versus Arthrit, Ctr Musculoskeletal Res, Manchester, Lancs, England

[6] Univ Manchester, Manchester Acad Hlth Sci Ctr, Ctr Biostat, Manchester, Lancs, England

[7] Keele Univ, Ctr Prognosis Res, Sch Med, Keele, Staffs, England

[8] Univ Oxford, Ctr Stat Med, Nuffield Dept Orthopaed, Oxford, England

[9] Oxford Univ Hosp NHS Fdn Trust, Oxford, England

来源：

BRITISH JOURNAL OF SPORTS MEDICINE | 2021年

关键词：

RISK;

D O I：

10.1136/bjsports-2021-104329

中图分类号：

G8 [体育];

学科分类号：

04 ; 0403 ;

摘要：

[No abstract available]

引用

页码：1319 / 1321

页数：3

共 9 条

[1]

[Anonymous], 2019, PROGNOSIS RES HEALTH

[2] Quantifying the impact of different approaches for handling continuous predictors on the performance of a prognostic model [J].

Collins, Gary S. ;

Ogundimu, Emmanuel O. ;

Cook, Jonathan A. ;

Le Manach, Yannick ;

Altman, Douglas G. .

STATISTICS IN MEDICINE, 2016, 35 (23) :4124-4135

[3]

Collins GS, 2015, ANN INTERN MED, V162, P55, DOI [10.1038/bjc.2014.639, 10.7326/M14-0697, 10.1002/bjs.9736, 10.1016/j.jclinepi.2014.11.010, 10.1186/s12916-014-0241-z, 10.1111/eci.12376, 10.1136/bmj.g7594, 10.7326/M14-0698, 10.1016/j.eururo.2014.11.025]

[4] Neuromuscular training injury prevention strategies in youth sport: a systematic review and meta-analysis [J].

Emery, Carolyn A. ;

Roy, Thierry-Olivier ;

Whittaker, Jackie L. ;

Nettel-Aguirre, Alberto ;

van Mechelen, Willem .

BRITISH JOURNAL OF SPORTS MEDICINE, 2015, 49 (13) :865-870

[5] Variable selection - A review and recommendations for the practicing statistician [J].

Heinze, Georg ;

Wallisch, Christine ;

Dunkler, Daniela .

BIOMETRICAL JOURNAL, 2018, 60 (03) :431-449

[6] The Value of Preseason Screening for Injury Prediction: The Development and Internal Validation of a Multivariable Prognostic Model to Predict Indirect Muscle Injury Risk in Elite Football (Soccer) Players [J].

Hughes, Tom ;

Riley, Richard D. ;

Callaghan, Michael J. ;

Sergeant, Jamie C. .

SPORTS MEDICINE-OPEN, 2020, 6 (01)

[7] Calculating the sample size required for developing a clinical prediction model [J].

Riley, Richard D. ;

Ensor, Joie ;

Snell, Kym I. E. ;

Harrell, Frank E., Jr. ;

Martin, Glen P. ;

Reitsma, Johannes B. ;

Moons, Karel G. M. ;

Collins, Gary ;

van Smeden, Maarten .

BMJ-BRITISH MEDICAL JOURNAL, 2020, 368

[8] Prediction models for musculoskeletal injuries in professional sporting activities: A systematic review [J].

Seow, Dexter ;

Graham, Ian ;

Massey, Andrew .

TRANSLATIONAL SPORTS MEDICINE, 2020, 3 (06) :505-517

[9] Key steps and common pitfalls in developing and validating risk models [J].

Wynants, L. ;

Collins, G. S. ;

Van Calster, B. .

BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY, 2017, 124 (03) :423-432

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