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Record W3092228192 · doi:10.1097/bot.0000000000001933

What Predicts Health-Related Quality of Life for Patients With Displaced Femoral Neck Fractures Managed With Arthroplasty? A Secondary Analysis of the HEALTH Trial

2020· article· en· W3092228192 on OpenAlexafffundabout
Daniel Axelrod, Marianne Comeau-Gauthier, Sofia Bzovsky, Emil H. Schemitsch, Rudolf W. Poolman, Frede Frihagen, Ernesto Guerra-Farfán, Diane Heels‐Ansdell, Mohit Bhandari, Sheila Sprague

Bibliographic record

VenueJournal of Orthopaedic Trauma · 2020
Typearticle
Languageen
FieldMedicine
TopicHip and Femur Fractures
Canadian institutionsImpactWestern UniversityMcMaster University
FundersCanadian Institutes of Health ResearchNational Institutes of HealthZonMwAcumedAmgenMcMaster UniversityStrykerSanofi
KeywordsMedicineWOMACQuality of life (healthcare)Femoral neckArthroplastyOsteoarthritisPhysical therapyPopulationAmerican society of anesthesiologistsTotal hip arthroplastyMinimal clinically important differenceDepression (economics)Randomized controlled trialInternal medicineSurgeryOsteoporosisNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Total hip arthroplasty (THA) has been argued to improve health-related quality of life (HRQoL) and function in femoral neck fracture patients compared with hemiarthroplasty (HA). The HEALTH trial showed no clinically important functional advantages of THA over HA. The current analysis explores factors associated with HRQoL and function in this population. METHODS: Using repeated measures regression, we estimated the association between HRQoL and function [Short Form-12 (SF-12) physical component score (PCS) and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) function score] and 23 variables. RESULTS: THA as compared to monopolar HA, but not bipolar HA, was more likely to improve PCS scores (adjusted mean difference [AMD] 1.88 points, P = 0.02), whereas higher American Society of Anesthesiologists score (AMD -2.64, P < 0.01), preoperative use of an aid (AMD -2.66, P < 0.01), and partial weight-bearing status postoperatively (AMD -1.38, P = 0.04) demonstrated less improvement of PCS scores over time. THA improved WOMAC function scores over time compared with monopolar HA (but not bipolar HA) (AMD -2.40, P < 0.01), whereas higher American Society of Anesthesiologists classification (AMD 1.99, P = 0.01) and preoperative use of an aid (AMD 5.39, P < 0.01) were associated with lower WOMAC function scores. Preoperative treatment for depression was associated with lower functional scores (AMD 7.73, P < 0.01). CONCLUSION: Patients receiving THA are likely to receive small and clinically unimportant improvements in health utility and function compared with those receiving monopolar HA and little improvement compared with those receiving bipolar HA. Patient-specific characteristics seem to play a larger role in predicting functional improvement among femoral neck fracture patients. LEVEL OF EVIDENCE: Prognostic Level II.

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)0.005
metaresearch head score (Gemma)0.014
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 score0.005
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.005
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.026
GPT teacher head0.301
Teacher spread0.275 · 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".

Quick stats

Citations3
Published2020
Admission routes3
Has abstractyes

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