MétaCan
Menu
Back to cohort
Record W2713289075 · doi:10.1016/j.arthro.2017.04.018

Preoperative Performance of the Patient‐Reported Outcomes Measurement Information System in Patients With Rotator Cuff Pathology

2017· article· en· W2713289075 on OpenAlexaboutno aff
Chris A. Anthony, Natalie Glass, Kyle J. Hancock, Matt Bollier, Carolyn M. Hettrich, Brian R. Wolf

Bibliographic record

VenueArthroscopy The Journal of Arthroscopic and Related Surgery · 2017
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRotator cuffElbowPatient-Reported Outcomes Measurement Information SystemComputerized adaptive testingPhysical therapyCuffSurgeryPsychometrics

Abstract

fetched live from OpenAlex

PURPOSE: To evaluate the Patient-Reported Outcomes Measurement Information System upper extremity item bank (PROMIS UE) and physical function computerized adaptive test (PROMIS PF CAT) in patients with rotator cuff (RC) pathology at their preoperative clinic visit. METHODS: Patient data were collected from January 2015 to September 2015. Patients with a preoperative diagnosis of RC pathology were prospectively enrolled at the time of their surgical indication for RC repair. Each patient was asked to fill out the Western Ontario Rotator Cuff Index (WORC), American Shoulder and Elbow Surgeons Shoulder Assessment Form, Marx Shoulder Activity Scale, Short Form 36 Health Survey Physical Function and General Health (SF-36 PF and GH), EuroQol-5 Dimension (EQ-5D), PROMIS PF CAT, and PROMIS UE. Correlation was defined as excellent (>0.7), excellent-good (0.61-0.7), good (0.4-0.6), and poor (0.2-0.3). RESULTS: Patient data were collected from January 2015 to September 2015. No patients were excluded from participation in the study. In 82 patients with preoperative RC pathology, the PROMIS UE showed excellent correlation with American Shoulder and Elbow Surgeons Shoulder Assessment Form (r = 0.77, P < .01), WORC (r = 0.73, P < .01), and the EQ-5D (r = 0.73, P < .01); there was excellent-good correlation with the SF-36 PF (r = .66, P < .01) and PROMIS PF CAT (r = .70, P < .01). The PROMIS PF CAT showed excellent correlation with the SF-36 PF (r = 0.77, P < .01); there was excellent-good correlation with EQ-5D (r = 0.65, P < .01) and WORC (r = 0.61, P < .01). There were no significant floor or ceiling effects using the PROMIS UE item bank or PROMIS PF CAT. CONCLUSIONS: We report that in a patient population with preoperative RC pathology, the PROMIS UE and PROMIS CAT are valid patient-reported outcome alternatives that have high correlation with traditional shoulder and upper extremity patient-reported outcomes. We find a decreased question burden using the PROMIS PF CAT. We find no significant floor or ceiling effects present in the PROMIS UE or PROMIS PF CAT. LEVEL OF EVIDENCE: Level II, prospective diagnostic study.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.007
Threshold uncertainty score0.278

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.246
Teacher spread0.230 · 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 teacher head, 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".

Quick stats

Citations69
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueArthroscopy The Journal of Arthroscopic and Related SurgerySame topicShoulder Injury and TreatmentFrench-language works237,207