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Record W4407783528 · doi:10.7759/cureus.79377

A Retrospective Study of Predictive Factors and Functional Outcomes of Medial Opening Wedge High Tibial Osteotomy for Varus Medial Compartment Knee Osteoarthritis: Insights From a Resource-Limited Setting

2025· article· en· W4407783528 on OpenAlexaboutno aff
Abdulrakib Almirah, Anwar Mahyoub, Khaled Swailem, Wael Alhamadi, Abdulfattah Altam

Bibliographic record

VenueCureus · 2025
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOsteoarthritisHigh tibial osteotomyCompartment (ship)Limited resourcesPathology

Abstract

fetched live from OpenAlex

INTRODUCTION: Medial opening wedge high tibial osteotomy (MOWHTO) represents a well-established surgical intervention for varus malalignment associated with medial compartment knee osteoarthritis (KOA). Given the increasing prevalence of KOA, particularly within aging populations, a thorough evaluation of effective therapeutic strategies is paramount. This study aimed to identify predictors of MOWHTO failure and assess the functional outcomes of this procedure in a resource-limited setting, thereby informing clinical decision-making and optimizing patient care. MATERIALS AND METHODS: This retrospective study analyzed the outcomes of MOWHTO performed on adult patients diagnosed with KOA and varus deformity at two hospitals in Sana'a, Yemen, between October 2019 and April 2023. Data pertaining to demographics, preoperative characteristics, intraoperative details, radiographic findings, and postoperative parameters were meticulously collected and analyzed. Clinical outcomes were evaluated using the American Knee Society Functional Score (AKSFS), the Clinical American Knee Society Score (CAKSS), and the Western Ontario and McMaster Universities (WOMAC) Osteoarthritis Index. Multivariate regression analysis determined the associations between patient-specific factors and MOWHTO failure, defined as conversion to unicompartmental or total knee arthroplasty. RESULTS: A cohort of 102 patients underwent MOWHTO, with a mean follow-up duration of 24.4 ± 7.0 months. The mean age of the patient population was 42.6 ± 8.2 years, with a female predominance (n=69, 67.6%). Disease severity, as per the Kellgren-Lawrence classification, was graded as follows: grade 1 in 19 (18.6%) knees, grade 2 in 48 (47.1%) knees, grade 3 in 22 (21.6%) knees, and grade 4 in 13 (12.7%) knees. Postoperatively, statistically significant improvements were observed in the mean AKSFS, CAKSS, and WOMAC scores at the final follow-up compared to preoperative values (all p<0.05). Post-surgical complications included pin-tract infections (n=5, 4.9%) and lateral cortex fractures (n=4, 3.9%). Overall, 92 (90.2%) knees demonstrated successful outcomes, while 10 (9.8%) were classified as failures. Multivariate analysis revealed that advanced age (OR: 1.89; 95% CI: 1.02-3.50, p=0.043) and higher body mass index (BMI) (OR: 2.40; 95% CI: 1.13-5.10, p = 0.022) were significant predictors of surgical failure. CONCLUSIONS: This study confirms that MOWHTO improves clinical outcomes for varus medial compartment KOA, especially in younger patients with a normal BMI, demonstrating its potential in resource-limited settings. These findings highlight the importance of considering age and BMI in treatment decisions; future prospective research is warranted to refine patient selection criteria and expand the applicability of MOWHTO.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.262
Teacher spread0.246 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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