The Evaluation of Nailfold Videocapillaroscopy findings in Type 2 Diabetic Patients with and without Diabetic Retinopathy
Bibliographic record
Abstract
OBJECTIVE: Diabetes mellitus (DM) is a chronic hyperglycemic state and is associated with microvascular structural alterations. This study aimed to investigate the diameters of capillary loops and morphostructural changes using nailfold video capillaroscopy (NVC) in patients with type 2 DM with and without diabetic retinopathy (DR). METHODS: This cross-sectional, single-center study was conducted in patients with type 2 DM who were followed in outpatient clinics of ophthalmology and internal medicine. General demographic data were collected from patients. An ophthalmologist examined all patients in terms of DR. A rheumatologist blinded to the clinical data performed NVC. The diameters of apical, arterial, and venous loop of capillaries were measured, and the microvascular changes of capillaries were scored. RESULTS: In this study, 44 patients with type 2 DM with DR (47.7% males) and 20 patients with type 2 DM without DR (55% males) were included. In our study, patients with type 2 DM with DR had more frequent capillary hemorrhage, more frequent ectasia, more frequent giant capillary, and more frequent neo-angiogenesis than patients with type 2 DM without DR. However, these findings were not statistically significant. CONCLUSION: Further controlled studies with large sample size are needed to determine the characteristic NVC findings of DR in patients with type 2 DM.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".