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Record W2899883166 · doi:10.2106/jbjs.rvw.17.00133

Postoperative Gait Mechanics After Total Hip Arthroplasty

2018· review· en· W2899883166 on OpenAlexaff
R. Moyer, Brent A. Lanting, Jacquelyn Marsh, Abdulaziz Aljurayyan, Laura Churchill, James L. Howard, Lyndsay Somerville

Bibliographic record

VenueJBJS Reviews · 2018
Typereview
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsWestern UniversityDalhousie University
Fundersnot available
KeywordsMedicineGaitOsteoarthritisBiomechanicsTotal hip arthroplastyArthroplastyGait analysisPhysical medicine and rehabilitationPhysical therapySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Total hip arthroplasty is recommended by clinical practice guidelines for improving pain in patients with severe hip osteoarthritis, yet functional limitations may persist postoperatively. The effects of the surgical approach on postoperative gait biomechanics may influence these limitations after total hip arthroplasty but are currently not well established. The purpose of this study was to investigate the differences in postoperative gait biomechanical differences, at early and late follow-up, in patients with hip osteoarthritis who underwent total hip arthroplasty using different surgical approaches. METHODS: Four electronic databases were searched from their inception to December 2016. Four pairs of reviewers independently determined study eligibility, rated study quality, and extracted data. Pooled estimates for each meta-analysis were obtained using a random-effects model. Mean differences (MDs) and standardized mean differences (SMDs) were calculated for spatiotemporal, kinematic, and kinetic gait variables at early (≤3 months) and late (≥6 months) postoperative follow-up. The posterior, anterior, direct lateral, and anterolateral approaches were compared using the mean postoperative differences between approaches, standard deviations, and sample sizes. RESULTS: Nineteen studies (757 participants) were included. Individual and pooled effect sizes for the differences between approaches were inconsistent, with minimal significant differences at early or late follow-up. A significant increase in step length was observed after the posterior approach compared with the anterolateral approach at early (SMD = 0.68, p = 0.035) and late (SMD = 0.46, p = 0.032) follow-up, as well as a significant increase in hip adduction moment after the posterior approach compared with the lateral approach at early follow-up (SMD = 0.70, p = 0.020). Effect sizes ranged from small to very large, but too few studies comparing similar surgical approaches, as well as inconsistent reporting of outcome measures, limited the ability to pool data. CONCLUSIONS: These findings suggest little early or late postoperative difference in gait biomechanics between surgical approaches. Although some significant differences between surgical approaches exist, determining whether the reported postoperative gait value differences are clinically meaningful remains a substantial challenge for the interpretation of these findings. 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)0.005
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.337
Teacher spread0.288 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations44
Published2018
Admission routes1
Has abstractyes

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