Evidence map›Paper›PMID 29669081›Full record

ArticlePhysical therapy2018

Prediction of Persistent Musculoskeletal Pain at 12 Months: A Secondary Analysis of the Optimal Screening for Prediction of Referral and Outcome (OSPRO) Validation Cohort Study.

Jason M Beneciuk, Trevor A Lentz, Ying He, Samuel S Wu, Steven Z George

Open access · bronzeAbstract read
In one paragraph

Article in Physical therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 45 citations in OpenAlex.

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  13. CANUE: A Theoretical Model of Pain as an Antecedent for Substance Use.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

Jason M BeneciukDepartment of Physical Therapy, University of Florida, Gainesville, Florida, and Brooks Rehabilitation Clinical Research Center, 3901 University Blvd S, Ste 103, Jacksonville, FL 32216 (USA).
Trevor A LentzDuke Clinical Research Institute, Durham, North Carolina.
Ying HeDepartment of Mathematics, Clarkson University, Potsdam, New York.
Samuel S WuDepartment of Biostatistics, University of Florida, Gainesville, Florida.
Steven Z GeorgeDuke Clinical Research Institute and Department of Orthopaedic Surgery, Duke University, Durham, North Carolina.
Clinical Research Institute · USBrooks Rehabilitation Clinical Research Center · USClarkson University · USUniversity of Florida · US

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
Rehabilitation Research Career Development ProgramK12HD055929 · NICHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI BROWN, DAVID A · 2007 to 2021
$11.7M
NCATS NIH HHS UL1 TR001427NICHD NIH HHS K12 HD055929
6 · The paper itself

Abstract

Background: Musculoskeletal pain is a societal epidemic because it is highly prevalent and a leading contributor to disability; however, physical therapists are still challenged when predicting which patients are at high risk for persistent symptoms. Objective: The objectives of this study were to identify patient characteristics predictive of persistent musculoskeletal pain 12 months following physical therapist care and to determine the influence of anatomical region. Design: The design included a secondary analysis of a cohort study. Methods: Participants ranged in age from 18 to 65 years, had a primary report of knee, shoulder, back, or neck pain, were receiving physical therapy, and were enrolled in the Orthopedic Physical Therapy Investigative Network (OPT-IN) Optimal Screening for Prediction of Referral and Outcome (OSPRO) validation cohort study. Candidate predictor variables included demographic and clinical characteristics, comorbidities, and OSPRO Review of Systems (OSPRO-ROS) and OSPRO Yellow Flag (OSPRO-YF) tool scores. Persistent musculoskeletal pain was assessed by self-report responses to questions on the duration of pain and activity limitation. Logistic regression was used for completed cases to identify predictors of persistent pain at 12 months in full and parsimonious models. Results: Follow-up assessment at 12 months was performed for 63.4% of participants (279/440). Participants with persistent pain at 12 months (n = 101; 36.2%) had more comorbidities, higher numerical pain rating scale scores, and higher OSPRO-ROS and OSPRO-YF tool scores at baseline than those without persistent pain, and the findings were independent of anatomical region. The number of comorbidities (odds ratio [OR] range = 0.30-0.46), numerical pain rating scale scores (OR at baseline = 1.44-1.75; OR at 4 weeks = 1.37-1.39), and OSPRO-ROS (plus additional items) scores (OR = 1.33-1.54) were predictors in full and parsimonious models. Limitations: Convenience sampling was used, with a follow-up rate at 12 months (63.4%) that was lower than anticipated, and an operational definition for chronic low back pain was applied to persistent musculoskeletal pain in other body regions. Conclusions: The OSPRO-ROS tool may be used to improve the prediction of persistent musculoskeletal pain at 12 months in conjunction with comorbidities and pain intensity (baseline and 4 weeks). These are potentially important findings because persistent pain was not commonly evaluated in previous screening studies; however, it is a relevant outcome in an era of front-line nonpharmacological pain management.

Indexed as

Disability EvaluationPhysical Therapy ModalitiesAdolescentAdultAgedChronic PainCohort StudiesFemaleHumansMaleMiddle AgedMusculoskeletal PainPain ManagementPain MeasurementPredictive Value of TestsPrognosis

Identifiers

PMID29669081
PMCPMC6256953
OpenAlexW2800099078

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.