Dosagem do peptídeo C sérico ao acaso em adultos com diagnóstico clínico de diabetes mellitus tipo 1
Bibliographic record
Abstract
OBJECTIVE: C peptide measurement can be helpful for classification of diabetes mellitus (DM). The aim of this study was to investigate the association between clinical diagnosis of type 1 diabetes (T1D) and levels of random C peptide. METHODS: Random C peptide was measured in adults of multi-ethnic background who had been classified as having T1D according to their clinical presentation. All individuals were > 18 years old at onset. RESULTS: The study included 51 adults, 28 (54.9%) females and 23 (45.1%) males, 36 (70.6%) Caucasian and 15 (29.4%) non-Caucasian. Their mean age at onset and duration of DM mean age were 27.9 (+/- 7.5) years and 9.9 (+/-7.2) years, respectively. In 8 patients (15.7%) C peptide was > 1.5 ng/ml, indicating sustained beta cell function. In this group a higher level of body mass index (26.05 vs 23.05 kg/m(2); p=0.006) and a greater proportion of non Caucasian individuals (62.5% vs 23.3%; p=0.039)) were detected. CONCLUSION: Most patients with DM clinically classified as T1D exhibit low C peptide. However, pancreatic insulin secretion seems to be preserved in a significant proportion of those individuals, possibly representing an atypical form of DM, not yet elucidated, that combines characteristics of both T1D and T2D.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".