Bibliographic record
Abstract
Diabetes mellitus, especially type 2 is becoming the biggest epidemic of the 21st century affecting more than 415 million adults globally and expected to increase to more than 640 million adults by 2040. Patients with diabetes are at high risk for adverse outcomes, notably cardiovascular disease with an increased risk of death. In fact, the 2018 Canadian Diabetes Association (CDA) guidelines have updated the type 2 diabetes management algorithm; if the patient has clinical cardiovascular disease, an antihyperglycemic agent with demonstrated cardiovascular (CV) benefit should be added. There is a growing armamentarium of therapies with Health Canada-approved CV benefit include two from the sodium-glucose co-transporter 2 (SGLT2) inhibitors class namely Canagliflozin and empagliflozin. Despite their many advantages, the Food and Drug Administration (FDA) issued a black box warning for associated necrotizing fasciitis of the perineum in diabetes treated with SGLT2 inhibitors. This case report highlights a case of Fournier’s gangrene (FG) in a male treated with empagliflozin for type 2 diabetes.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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; 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".