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Record W4407689589 · doi:10.2106/jbjs.24.00196

Relationships Between PROMIS and Legacy Patient-Reported Outcome Measure (PROM) Scores in the MARS Cohort at 10-Year Follow-up

2025· article· en· W4407689589 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Bone and Joint Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicKnee injuries and reconstruction techniques
Canadian institutionsnot available
FundersNational Institute of Arthritis and Musculoskeletal and Skin Diseases
KeywordsComputerized adaptive testingCohortPromMedicinePatient-Reported Outcomes Measurement Information SystemPhysical therapyCeiling effectPatient-reported outcomeCohort studyQuality of life (healthcare)Physical medicine and rehabilitationPsychometricsInternal medicineClinical psychology

Abstract

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BACKGROUND: Patient-reported outcome measures (PROMs) are used to evaluate the impact of musculoskeletal conditions and their treatment on patients' quality of life, but they have limitations, such as high responder burden and floor and ceiling effects. The Patient-Reported Outcomes Measurement Information System (PROMIS) was developed to address these issues but needs to be further evaluated in comparison with legacy PROMs. The goals of this study were to evaluate the floor and ceiling effects of, the correlations between, and the predictive ability of PROMIS scores compared with traditional legacy measures at 10-year follow-up in a cohort who underwent revision anterior cruciate ligament (ACL) reconstruction. METHODS: A total of 203 patients (88.7% White; 51.7% female) who underwent revision ACL reconstruction completed the PROMIS via computer adaptive tests as well as legacy PROMs at the cross-sectional, 10-year follow-up of the longitudinal MARS cohort study (MARS cohort n = 1,234). Floor and ceiling effects and Spearman rho correlations between PROMIS and legacy measures are reported. Linear regression with quadratic terms were used to develop and evaluate conversion equations to predict legacy scores from the PROMIS. RESULTS: No floor or ceiling effects were reported for the PROMIS Physical Function (PF) domain, whereas a floor effect was found for 37.9% of the participants for the PROMIS Pain Interference (PI) domain, and a ceiling effect was found for 34.0% of the participants for the PROMIS Physical Mobility (PM) domain. PROMIS domains correlated moderately with the International Knee Documentation Committee total subjective score (absolute value of rho [|ρ|] = 0.68 to 0.74), fairly to moderately with the Knee injury and Osteoarthritis Outcome Score and Western Ontario and McMaster Universities Osteoarthritis Index scores (|ρ| = 0.52 to 0.67), and fairly with the Marx Activity Rating Scale (|ρ| = 0.35 to 0.44). None of the legacy-measure scores were accurately predicted by the PROMIS scores. CONCLUSIONS: The PROMIS PF domain has value in assessing patients 10 years after revision ACL reconstruction. Because of floor and ceiling effects, using the PI and PM domains may not allow for precision when measuring long-term changes in pain and mobility. Although the PROMIS measures correlated with the legacy measures, with effect sizes ranging from fair to moderate, the legacy scores were not accurately predicted by the PROMIS. The results suggest that knee-specific legacy measures should not be eliminated from long-term follow-up when the goal is to capture the specific knee-related information that they provide. LEVEL OF EVIDENCE: Therapeutic Level II . See Instructions for Authors for a complete description of levels of evidence.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.049
GPT teacher head0.276
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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