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Record W3135946028 · doi:10.1111/jep.13564

Examination of exclusion criteria in total knee arthroplasty rehabilitation trials: influence on the application of evidence in <scp>day‐to‐day</scp> practice

2021· article· en· W3135946028 on OpenAlexaboutno aff
Andrew J. Kittelson, Brian J. Loyd, Jeremy Graber, Michael A. Himawan, Dawn Waugh, Jacqueline Davenport, Thomas J. Hoogeboom, Jennifer E. Stevens‐Lapsley

Bibliographic record

VenueJournal of Evaluation in Clinical Practice · 2021
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
FundersNational Institute on AgingNational Institutes of HealthAgency for Healthcare Research and QualityFoundation for Physical Therapy
KeywordsMedicineRehabilitationClinical trialPhysical therapyWOMACGeneralizability theoryInclusion and exclusion criteriaTotal knee arthroplastyRandomized controlled trialArthroplastyOsteoarthritisAlternative medicineSurgeryInternal medicinePsychology

Abstract

fetched live from OpenAlex

OBJECTIVE: Total knee arthroplasty (TKA) rehabilitation trials use exclusion criteria, which may limit their generalizability in practice. We investigated whether patients seen in routine practice who meet common exclusion criteria recover differently from TKA compared to research-eligible patients. We hypothesized that research-ineligible patients would demonstrate poorer average postoperative function and slower rate of functional recovery compared to research-eligible patients. METHODS: Patient characteristics and exclusion criteria were extracted and summarized from trials included in the three most recent systematic reviews of TKA rehabilitation. Trial participant characteristics were compared to a clinical dataset of patient outcomes collected in routine TKA rehabilitation. Where possible, individual exclusion criterion from the trials were applied to the clinical dataset to determine "eligible" and "ineligible" groups for research participation. Postoperative functional outcomes including the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) and Timed Up and Go (TUG) were compared between "eligible" and "ineligible" groups using mixed effects models. RESULTS: 2,528 participants from 27 trials were compared to 474 patients from the clinical dataset. Research participants were older, with lower Body Mass Index than patients in the clinical dataset. Many patients in the clinical dataset would be "ineligible" for research participation based upon common exclusion criteria from the trials. Differences were observed in average postoperative functioning between some "eligible" and "ineligible" groups in the clinical dataset. However, no differences were observed in functional recovery rate between groups, except for patients with diabetes whose TUG recovered more slowly than their "eligible" counterparts. CONCLUSIONS: Many patients in the clinical dataset were "ineligible" for research participation based upon common TKA rehabilitation trial exclusion criteria. However, the postoperative recovery rate did not differ between "eligible" and "ineligible" groups based on individual exclusion criterion-except for individuals with diabetes. This suggests that both clinical and research populations may recover similarly from TKA.

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)0.779
metaresearch head score (Gemma)0.922
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: Methods
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.221
Threshold uncertainty score0.273

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.7790.922
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0150.023
Bibliometrics0.0150.024
Science and technology studies0.0040.009
Scholarly communication0.0140.012
Open science0.0080.011
Research integrity0.0100.008
Insufficient payload (model declined to judge)0.0060.001

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 head0.194
GPT teacher head0.516
Teacher spread0.322 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designObservational
DomainMethods
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

Citations5
Published2021
Admission routes1
Has abstractyes

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