High glucose level as a modifier factor in <scp>CMT1A</scp> patients
Bibliographic record
Abstract
Charcot-Marie-Tooth disease type 1A (CMT1A) is the most common type of hereditary neuropathy worldwide and diabetes mellitus (DM) is the most frequent cause of peripheral neuropathy in the Western world. CMT1A typically manifest as a predominant motor neuropathy, while, DM-related neuropathy often manifests as a predominant sensory disorder. There are some evidences that CMT1A patients that also had DM had a more severe neuropathy. Although the real frequency and the underlying mechanisms related to this association has not yet been addressed in the literature. We sought to characterize the phenotypic variability of CMT1A patients with persistent high glucose levels (DM or impaired glucose tolerance [IGT]). Nineteen patients with CMT1A and DM (CMTdiab), seven with CMT1A and IGT (CMTintol) and 27 with CMT1A without comorbidities were analyzed. They were evaluated through clinical assessment, application of the following scales: visual analogue scale, McGill, CMTNS, SF-36 and COMPASS 31 and electrophysiological studies. Patients CMTdiab had a more severe motor and sensory neuropathy, more intense autonomic symptoms and worse quality of life. Surprisingly, proximal weakness and temporal dispersion on nerve conduction studies are frequently observed in this group. Patients CMTintol also had a more severe neuropathy. Curiously, we observed that the association of CMT1A and glucose metabolism disorders (CMTglic) clustered in some families. Patients CMTglic develop a more severe neuropathy. As there is yet no cure to CMT1A, a strict blood sugar control may be a useful measure.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".