Evidence map›Paper›PMID 40486811›Full record

ArticleJSES international2025

Psychological profiles of patients reporting with musculoskeletal shoulder or elbow pain.

Chuheng Xing, Mallory B Lane, Madilyn L Feik, Jake Taylor, James M Gregory, Natalie L Myers

Abstract read
In one paragraph

Article in JSES international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Chuheng XingMcGovern Medical School at UTHealth Houston, Department of Orthopaedic Surgery, Houston, TX, USA.
Mallory B LaneMcGovern Medical School at UTHealth Houston, Department of Orthopaedic Surgery, Houston, TX, USA.
Madilyn L FeikMcGovern Medical School at UTHealth Houston, Department of Orthopaedic Surgery, Houston, TX, USA.
Jake TaylorTransfr VR, Department of Learning Intelligence, New York, NY, USA.
James M GregoryUTHealth Houston McGovern Medical School Orthopedic Surgery, Department of Orthopaedic Surgery, Houston, TX, USA.
Natalie L MyersMemorial Hermann Health System, Memorial Hermann's Rockets Sports Medicine Institute, Houston, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Optimal Screening for Prediction of Referral and Outcome-Yellow Flag (OSPRO-YF) is a questionnaire that helps assess multiple psychological domains. The primary purpose of this study was to evaluate the effect of body region (shoulder and elbow) and sex on baseline OSPRO-YF scores. The secondary purpose was to evaluate the association of age on baseline OSPRO-YF scores for both shoulder and elbow patients. Methods: 242 subjects completed 1) a demographic survey and 2) the 17-item OSPRO-YF. The OSPRO-YF estimates the individual scores of 11 psychological patient-reported outcome measures. To assess the effects of body region and sex on the OSPRO-YF, 1 multivariate generalized linear model was conducted. To assess the association of age on the OSPRO-YF, 11 simple linear regressions were conducted for each subscale of the OSPRO-YF. Results: Patients with elbow pain exhibit higher fear avoidance behavior than those reporting with shoulder pain. Patients with elbow pain also presented with lower self-efficacy with respect to pain and rehabilitation. There was no significant main effect for sex nor was there a significant interaction for body region and sex. When controlling for both sex and BMI within the elbow cohort, age was significantly associated with the Tampa Scale of Kinesiophobia and the State-Trait Anger Expression Inventory. Conclusion: Patients reporting with elbow pain seem to experience psychological barriers. By establishing psychological awareness in clinical settings, providers will be able to provide a patient-specific plan of care that accounts for these barriers.

Indexed as

Fear avoidanceMusculoskeletal elbowMusculoskeletal shoulderNegative moodOSPRO-YFPositive affectPsychological distressUpper extremity

Identifiers

PMID40486811
PMCPMC12145005

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LicenceCC BY-NC-ND
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Registered trials

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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.