Evidence map›Paper›PMID 42007423›Full record

ArticleJSES international2026

Psychometric performance of the Patient-Reported Outcomes Measurement Information System-Physical Function and Oxford Shoulder Scores in total shoulder arthroplasty.

Justin J Turcotte, Andrea H Johnson, Matthew A Peterman, Cyrus J Lashgari, Christopher M Jones, Jeffrey Gelfand, Jane C Brennan

Abstract read
In one paragraph

Article in JSES international, 2026. 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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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Justin J TurcotteLuminis Health Anne Arundel Medical Center, Annapolis, MD, USA.
Andrea H JohnsonLuminis Health Anne Arundel Medical Center, Annapolis, MD, USA.
Matthew A PetermanLuminis Health Anne Arundel Medical Center, Annapolis, MD, USA.
Cyrus J LashgariLuminis Health Anne Arundel Medical Center, Annapolis, MD, USA.
Christopher M JonesLuminis Health Anne Arundel Medical Center, Annapolis, MD, USA.
Jeffrey GelfandLuminis Health Anne Arundel Medical Center, Annapolis, MD, USA.
Jane C BrennanLuminis Health Anne Arundel Medical Center, Annapolis, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Patient-Reported Outcomes Measurement Information System-Physical Function (PROMIS-PF) and Oxford Shoulder Score (OSS) are frequently used patient-reported outcome measures in total shoulder arthroplasty (TSA); yet, direct psychometric comparison of these 2 measures has not been previously performed. The purpose of this study was to compare the psychometric properties of PROMIS-PF and OSS, measured at baseline and 6 months post-operatively, among patients undergoing primary TSA. Methods: A retrospective study of 70 patients undergoing anatomic or reverse TSA at a single institution (2021-2024) was performed. All patients included completed a pre-operative and a 6-month post-operative PROMIS-PF v2.0 short form 10a survey and OSS survey. Psychometric analysis was performed to compare internal consistency reliability, convergent construct validity, floor/ceiling effects, and responsiveness between measures. Results: Both PROMIS-PF and OSS demonstrated excellent internal consistency reliability and strong responsiveness. While both instruments had very low (<2%) floor/ceiling effects pre-operatively, some low-level ceiling effects were observed at 6-month follow up. A moderate correlation between measures was observed, demonstrating adequate construct validity given the intent of PROMIS-PF and OSS to measure general physical function and shoulder specific function, respectively. Conclusion: In patients undergoing TSA, PROMIS-PF and OSS demonstrated strong psychometric performance. As the 2 measures evaluate the unique but related constructs of general and shoulder-specific function, they displayed moderate correlation. Therefore, both PROMIS-PF and OSS hold value in assessing the outcomes of TSA patients and may be effectively used concurrently in practice.

Indexed as

Oxford Shoulder ScorePatient-reported outcomesPROMIS physical functionPsychometricReliabilityTotal shoulder arthroplastyValidity

Identifiers

PMID42007423
PMCPMC13090995

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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.