Clinical approach to the differential diagnosis between immune-mediated diabetes and type 2 diabetes in adult patients
Bibliographic record
Abstract
interpretation, E -Manuscript preparation, F -literature Search, G -Funds collection Background.iDM/laDa is late-manifesting immune-mediated diabetes diagnosed in patients over 30 years of age. it is estimated to account for 5-10% of diabetes cases in adults.Objectives. the aim of the study was to identify the parameters implying the diagnosis of immune-mediated diabetes among adults with new-onset diabetes.Material and methods.study included patients 30-50 years of age with new-onset diabetes, hospitalised between 2014 and 2019 in the Diabetology Department.Medical history, hyperglycaemia symptoms, comorbidities, anthropometric measurements and laboratory tests were analysed.the exclusion criterion was a history of pancreatitis.Results.we analysed a group of 182 patients (mean age 38.1 ± 5.1).iDM/laDa was diagnosed in 78 (43%) patients.in the subgroup of subjects 30-35 years of age, iDM/laDa patients constituted 50.08%, whereas in the 36-50 years of age group, this constituted 38.65% of all the patients.the iDM/laDa patients were younger, had a lower body mass and BMi, noticed symptoms of diabetes before hospitalisation and more often had other autoimmune disorders.thier c-peptide concentrations were nearly three times lower, while t2DM patients had a higher concentration of total cholesterol and triglycerides and more frequently had arterial hypertension (all p < 0.05).testing for one antibody (GaDa) allows one to diagnose 83% of iDM/laDa cases.Furthermore, determination of both GaDa and ica resulted in diagnosing autoimmune diabetes in 97% of all the patients.Conclusions.with a measurement of c-peptide concentration and GaDa detection, we could diagnose iDM/laDa with 89% sensitivity.Moreover, the inclusion of clinical features increased the sensitivity up to 93.5%.considering the age criterion, there was no significant difference between the groups of patients with iDM/laDa.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
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".