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Record W3183218085 · doi:10.25270/wmp.2021.5.1925

Sex Differences in Osteomyelitis of the Foot in Persons With Diabetes Mellitus: A Meta-Analysis

2021· article· en· W3183218085 on OpenAlexaboutno aff
Le-Xuan Zhang, Yuting Wang, Jun Zhao, Li Yang, Hong‐Lin Chen

Bibliographic record

VenueWound Management & Prevention · 2021
Typearticle
Languageen
FieldMedicine
TopicDiabetic Foot Ulcer Assessment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOsteomyelitisDiabetic footOdds ratioDiabetes mellitusAmputationIncidence (geometry)Confidence intervalInternal medicineMeta-analysisSurgeryEndocrinology

Abstract

fetched live from OpenAlex

BACKGROUND: Osteomyelitis of the foot is a risk factor for amputation in persons with diabetes mellitus. There is some evidence to suggest that patient sex affects the risk of diabetes-related foot complications. PURPOSE: To examine the effect of sex on osteomyelitis risk in patients with diabetic foot disease. METHODS: Systematic searches of PubMed and the China National Knowledge Infrastructure were performed from inception through May 2020 using the terms "diabetic foot" and "osteomyelitis." Original research studies including persons with diabetes mellitus, diabetic foot disease, or ulcers as well as reports of osteomyelitis were included. Study quality was assessed according to the Newcastle-Ottawa Scale. The pooled odds ratio (OR) and 95% confidence interval (CI) for osteomyelitis were calculated by sex. RESULTS: Nine (9) studies from 6 countries involving 2583 patients met the inclusion criteria for analysis. No significant publication bias was observed. The average age of patients was 65.2 years, and 32.03% of men and 30.0% of women were diagnosed with osteomyelitis. The pooled OR was 1.14 (95% CI, 0.94-1.38; P = .76). Regression analysis (t = -0.61; P > .561) showed no association between the incidence of osteomyelitis and ORs. CONCLUSION: This meta-analysis suggests that patient sex does not affect the odds of having osteomyelitis among persons with diabetes and diabetic foot disease or ulcers.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.122
Threshold uncertainty score0.622

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.034
GPT teacher head0.277
Teacher spread0.244 · 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 teacher head, 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

Citations8
Published2021
Admission routes1
Has abstractyes

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