Incidence and Predictive Factors for Amputations Derived From Charcot's Neuroarthropathy in Persons With Diabetes
Bibliographic record
Abstract
Charcot's neuroarthropathy (CN) is the progressive destruction of the bones and joints of the feet, as a consequence of severe peripheral neuropathy, which predisposes patients to amputations. The purpose of this study was to measure the cumulative incidence of amputations resulting from CN and risk factors among amputated people with diabetes mellitus (DM). This was an epidemiological, observational, and retrospective study of 114 patients with DM who had an amputation involving the lower limbs. Data were collected from 2 specialized outpatient clinics between 2015 and 2019, including socio-demographic and clinical variables (cause of amputation: CN, peripheral arterial disease [PAD], infected ulcers, fracture, osteomyelitis, and others; body mass index [BMI]; 1 or 2 DM, time since DM diagnosis, insulin treatment, glycated hemoglobin; creatinine; smoking and drinking; systemic arterial hypertension, diabetic retinopathy, diabetic kidney disease, diabetic peripheral neuropathy, acute myocardial infarction, PAD, and stroke; characteristics of amputation [level and laterality], in addition to the specific variables related to CN [time of amputation in relation to the diagnosis of CN, diagnosis of CN in the acute phase, and treatment implemented in the acute phase]). We compared socio-demographic and clinical characteristics, including types of amputation, between patients with and without CN. Statistical analyses were performed using the 2 sample t-test or Wilcoxon–Mann–Whitney test, for quantitative variables, and the Pearson's χ 2 test or Fisher's exact test for categorical variables. The investigation of the possible association of predictive factors for a CN amputation was carried out through logistic regression. The amputation caused by CN was present in 27 patients with a cumulative incidence of 23.7% in 5 years. There was a statistically significant association between BMI and the occurrence of CN (odds ratio: 1.083; 95% confidence interval: 1.001–1.173; P = .048); higher values of BMI were associated with a higher occurrence of amputations secondary from CN.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".