Preliminary state of development of prediction models for primary care physical therapy: a systematic review

Oort, L. van; Berg, Tobias; Koes, Bart W.; Vet, Henrica C.W. de; Anema, Han; Heymans, Martijn W.; Verhagen, Arianne P.

doi:10.1016/j.jclinepi.2012.05.007

Cited by 38 publications

(24 citation statements)

References 83 publications

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“…No uniform criteria list to assess the methodological quality of studies on prognostic models was available; therefore, the criteria list developed by van Oort et al, 43 which is based on several existing criteria lists for prognostic studies, was used to assess methodological quality. This list consists of 21 items in 6 domains (APPENDIX B, available at www.jospt.org) that are scored as "positive," "negative," or "unclear."…”

Section: Methodological Quality Assessmentmentioning

confidence: 99%

“…The searches were based on a previously derived and validated search strategy 43 (APPENDIX A, available at www.jospt.org). In addition, the reference lists of the identified studies were screened to detect other potentially relevant studies.…”

Section: Data Sources and Searchesmentioning

confidence: 99%

“…We excluded randomized controlled trials, case studies, retrospective cohort studies, cross-sectional studies, and studies that aimed to develop or validate a questionnaire. 43 We also excluded studies concerning patients with anterior knee pain (patellofemoral pain), because these were included in a separate review 25 in patients with knee pain after a total knee arthroplasty.…”

Section: Study Selectionmentioning

confidence: 99%

“…37 In past decades, many prognostic models in primary care have been developed, including several concerning the prognosis of patients with knee pain. 43 These models vary concerning patient populations, outcome measures, and relevant prognostic factors, which hampers the generalizability and U U STUDY DESIGN: Systematic review and validation study. U U BACKGROUND: Many prognostic models of knee pain outcomes have been developed for use in primary care.…”

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confidence: 99%

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Clinical Prediction Models for Patients With Nontraumatic Knee Pain in Primary Care: A Systematic Review and Internal Validation Study

Panken¹,

Verhagen²,

Terwee³

et al. 2017

J Orthop Sports Phys Ther

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Section: Methodological Quality Assessmentmentioning

confidence: 99%

Section: Data Sources and Searchesmentioning

confidence: 99%

Section: Study Selectionmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Clinical Prediction Models for Patients With Nontraumatic Knee Pain in Primary Care: A Systematic Review and Internal Validation Study

Panken¹,

Verhagen²,

Terwee³

et al. 2017

J Orthop Sports Phys Ther

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“…15 A systemic literature search has shown that the developmental stage of most prediction models is preliminary, and the study quality is often moderate. 16 A distinct limitation of the current Multinational Musculoskeletal Inception Cohort Study Statement is the length and complexity of the battery of questionnaires. This may deter researchers from using the statement and might impact on the willingness of the patients to take part in studies.…”

mentioning

confidence: 99%

Testing a New 10-Item Scale (Pindʼs LBP Test) for Prediction of Sick Leave Lasting More Than Three Days or More Than Two Weeks After a General Practitioner Visit for Acute Low Back Pain

Pind¹

2014

Spine

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Systematic review of prognostic factors predicting outcome in non‐surgically treated patients with sciatica

Verwoerd

Luijsterburg

Lin

et al. 2013

European Journal of Pain

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Identification of prognostic factors for surgery in patients with sciatica is important to be able to predict surgery in an early stage. Identification of prognostic factors predicting persistent pain, disability and recovery are important for better understanding of the clinical course, to inform patient and physician and support decision making. Consequently, we aimed to systematically review prognostic factors predicting outcome in non-surgically treated patients with sciatica. A search of Medline, Embase, Web of Science and Cinahl, up to March 2012 was performed for prospective cohort studies on prognostic factors for non-surgically treated sciatica. Two reviewers independently selected studies for inclusion and assessed the risk of bias. Outcomes were pain, disability, recovery and surgery. A best evidence synthesis was carried out in order to assess and summarize the data. The initial search yielded 4392 articles of which 23 articles reporting on 14 original cohorts met the inclusion criteria. High clinical, methodological and statistical heterogeneity among studies was found. Reported evidence regarding prognostic factors predicting the outcome in sciatica is limited. The majority of factors that have been evaluated, e.g., age, body mass index, smoking and sensory disturbance, showed no association with outcome. The only positive association with strong evidence was found for leg pain intensity at baseline as prognostic factor for subsequent surgery.

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Preliminary state of development of prediction models for primary care physical therapy: a systematic review

Cited by 38 publications

References 83 publications

Clinical Prediction Models for Patients With Nontraumatic Knee Pain in Primary Care: A Systematic Review and Internal Validation Study

Clinical Prediction Models for Patients With Nontraumatic Knee Pain in Primary Care: A Systematic Review and Internal Validation Study

Testing a New 10-Item Scale (Pindʼs LBP Test) for Prediction of Sick Leave Lasting More Than Three Days or More Than Two Weeks After a General Practitioner Visit for Acute Low Back Pain

Systematic review of prognostic factors predicting outcome in non‐surgically treated patients with sciatica

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