Chronic Inflammatory Demyelinating Polyneuropathy in Diabetes Patients
Bibliographic record
Abstract
Diabetes mellitus (DM) is pandemic, and is the leading global cause of polyneuropathy, most commonly, a distal symmetric sensorimotor polyneuropathy (DSP). By contrast, chronic inflammatory demyelinating polyneuropathy (CIDP) is rare, and characterized mainly by symmetrical proximal and distal muscles weakness. There are currently 15 sets of criteria using a variable combination of clinical, electrophysiologic, laboratory, and biopsy features to identify CIDP, but it is unclear if these criteria are the same in patients with and without DM. Slowed conduction velocity, a feature of demyelination, is observed in patients with type 1 DM with poor control, and the clinical characteristics of these patients differ from those who have CIDP and DM, suggesting a different pathophysiology. Treatment response rates in CIDP patients, with and without DM, are as high as 80 %, and it is recommended that treatment be started early to prevent secondary axonal loss. However, patients with type 1 DM with CIDP are far less likely to be treated than CIDP patients who do not have DM. In patients with type 1 DM with polyneuropathy who have prominent weakness or demyelination in electrophysiologic studies, a diagnosis of CIDP and a trial of therapy should be considered.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.005 | 0.001 |
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".