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Record W4398793929 · doi:10.1371/journal.pone.0304382

Association between physical measures of spinopelvic alignment and physical functioning with patient reported outcome measures (PROMs) after total hip arthroplasty: Protocol for systematic review and meta-analysis

2024· article· en· W4398793929 on OpenAlexaff
Sima Vatandoost, Katie Kowalski, Brent A. Lanting, K. C. Geoffrey Ng, Saghar Soltanabadi, Alison Rushton

Bibliographic record

VenuePLoS ONE · 2024
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineMeta-analysisCINAHLMEDLINESystematic reviewPatient-reported outcomePhysical therapyProtocol (science)ArthroplastyStudy heterogeneityCohort studyQuality of life (healthcare)SurgeryPsychological interventionAlternative medicineInternal medicinePathology

Abstract

fetched live from OpenAlex

INTRODUCTION: Prevalence of total hip arthroplasty (THA) has trended upwards over past decades and is projected to increase further. Optimizing outcomes after surgery is essential to avoid surgical revision and maximize outcomes. Low back pain is reported as a problem post THA. Patient-reported outcome measures (PROMs) are commonly used to evaluate THA outcomes but have limitations (e.g., ceiling effects). It is therefore important to assess a comprehensive range of outcomes. Physical outcome measures of spinopelvic alignment and physical functioning demonstrate potential value, but no evidence synthesis has investigated their association with PROMs. The objectives of this systematic review are to evaluate the association between spinopelvic alignment and physical outcome measures of physical functioning with PROMs and characteristics of low back pain after THA. METHODS AND ANALYSIS: This protocol is aligned with the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols. Cross-sectional and longitudinal cohort studies evaluating the association between the physical outcome measures and PROMs (any outcome measures reported) following THA by any approach/implant will be included except surface replacement and revision THA. Studies investigating THA for developmental pathology and inflammatory conditions will be excluded. A systematic search in MEDLINE (Ovid), Embase (Ovid), Scopus, Web of Science, CINAHL, and the grey literature will be carried out from inception to July 31, 2023. Two independent reviewers will evaluate eligibility of retrieved articles, extract data and assess risk of bias (NIH quality assessment tool) of included studies. A third reviewer will mediate disagreements. Random-effects meta-analyses will be conducted if studies are sufficiently homogeneous in design, population, physical measures and PROMs; reporting odds ratios and 95% confidence intervals. Where meta-analyses are not possible, a narrative synthesis will be conducted. Confidence in cumulative evidence will be assessed using a modified GRADE (Grading of Recommendations Assessment, Development, and Evaluation). PROSPERO REGISTRATION NUMBER: PROSPERO Registration number CRD42023412744.

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)0.060
metaresearch head score (Gemma)0.114
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.060
Threshold uncertainty score0.317

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0600.114
Meta-epidemiology (narrow)0.0060.004
Meta-epidemiology (broad)0.0270.029
Bibliometrics0.0120.012
Science and technology studies0.0030.004
Scholarly communication0.0080.007
Open science0.0050.005
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.0320.003

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 head0.126
GPT teacher head0.310
Teacher spread0.184 · 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 designMeta-analysis
Domainnot available
GenreProtocol

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

Citations2
Published2024
Admission routes1
Has abstractyes

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