Predicting pain recovery in patients with acute low back pain: Updating and validation of a clinical prediction model-Reference-Cited by-同舟云学术

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Predicting pain recovery in patients with acute low back pain: Updating and validation of a clinical prediction model

Published:2018-09-24 Issue:2 Volume:23 Page:341-353
ISSN:1090-3801
Container-title:European Journal of Pain
language:en
Short-container-title:Eur J Pain

Author:

da Silva Tatiane¹,Macaskill Petra²,Kongsted Alice³,Mills Kathryn¹,Maher Chris G.⁴,Hancock Mark J.¹

Affiliation:

1. Department of Health Professions; Macquarie University; Sydney Australia

2. Faculty of Medicine and Health; Sydney School of Public Health; University of Sydney; Sydney Australia

3. Department of Sports Science and Clinical Biomechanics; University of Southern Denmark; Odense Denmark

4. Institute for Musculoskeletal Health; Sydney Australia

Publisher

Wiley

Subject

Anesthesiology and Pain Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/ejp.1308/fullpdf

Reference34 articles.

1. Quantification of the completeness of follow-up;Clark;Lancet,2002

2. Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD statement;Collins;Annals of Internal Medicine,2015

3. Statistical evaluation of prognostic versus diagnostic models: Beyond the ROC curve;Cook;Clinical Chemistry,2008

4. The prognosis of acute and persistent low-back pain: A meta-analysis;da Cunha Menezes Costa;CMAJ,2012

5. Trajectories of acute low back pain: A latent class growth analysis;Downie;Pain,2016

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1. Characterizing clinical progression in patients with musculoskeletal pain by pain severity and central sensitization-related symptoms;Scientific Reports;2024-02-28

2. Natural Language Processing of Referral Letters for Machine Learning–Based Triaging of Patients With Low Back Pain to the Most Appropriate Intervention: Retrospective Study;Journal of Medical Internet Research;2024-01-30

3. Exploring the complexity of commonly held attitudes and beliefs of low back pain—a network analysis;Frontiers in Medicine;2024-01-24

4. Development and External Validation of Individualized Prediction Models for Pain Intensity Outcomes in Patients With Neck Pain, Low Back Pain, or Both in Primary Care Settings;Physical Therapy;2023-09-26

5. Do Visual Pain Trajectories Reflect the Actual Course of Low Back Pain? A Longitudinal Cohort Study;The Journal of Pain;2023-08

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