[Diabetes and schizophrenia, which links?].
Bibliographic record
Abstract
UNLABELLED: WHAT IS OBSERVED: Epidemiology and clinical practice show an increased prevalence of diabetes in schizophrenic patients, preceding even the use of antipsychotics. Several patho-physiological mechanisms have been proposed to explain the phenomenon, although none is completely satisfactory. SEVERE CONSEQUENCES: Diabetic schizophrenics exhibit a significantly greater number of other physical diseases than non-diabetic schizophrenic patients. These diseases are at the origin of early mortality and reduced quality of life. THE NEED FOR SCREENING: Schizophrenic patients should be included in the groups of those at risk for diabetes, together with patients treated with anti-psychotics. Diabetes is diagnosed if fasting blood sugar is>7.0 mmol/L and a glucose tolerance test>11,1 mmol/L. IN PRACTICE: The epidemiology and extent of the impact on mortality and morbidity of the association between schizophrenia and diabetes mellitus requires particular attention of the practitioners and the screening for diabetes, its prevention and treatment must be conducted according to regularly updated guidelines.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.031 | 0.005 |
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".