Performance de glicosímetro utilizado no automonitoramento glicêmico de portadores de diabetes mellitus tipo 1
Bibliographic record
Abstract
This prospective study assessed the minimum volume of blood, the precision and the accuracy of capillary glycaemia obtained with the use of a digital glucometer. A total of 108 diabetic individuals were enrolled, teenagers and adults of both genders, from the Diabetes Clinic of the Royal Victoria Hospital, McGill University, Canada, in 6 months. Glycaemia monitoring was performed using an AccuCheck Compact (Roche) glucometer. For the volume, 6 samples of blood were tested, on three glucometers, using a crossover design (432 results). For accuracy, 100 samples of venous and arterial blood, measured with the glucometer and on a clinical laboratory were compared. For precision, 2 samples of venous blood and solution controls were repeatedly tested. Results demonstrated that a volume of 3.0 microL of capillary blood is sufficient for reproducible results. Measurements of venous and capillary glycaemia did not differ statistically when obtained with the glucometer or from a clinical laboratory (p > 0.05). Comparison of capillary glycaemia measured with the glucometer with venous and capillary glycaemia obtained from the laboratory resulted in a correlation coefficient of 0.9819 and 0.9842, respectively. These observations confirm the accuracy and precision of the tested glucometer. The establishment of a minimum digital punction of 3 microL may have positive impact upon the compliance to auto-monitoring routines.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".