Bibliographic record
Abstract
There has been an increase in both the proportion as well as prevalence of non-albicans Candida species, including patients who experience breakthrough infection with non-albicans Candida strains. C. glabrata was the least common cause of bloodstream infection (BSI) in Latin America (7.5%) and the most common in Canada (20.1%) and the United States (18.3%). Understandably, local institutional antifungal pressure affects the local epidemiology of candidiasis as well as affecting antimicrobial resistance. C. guilliermondii was more frequently seen in patients with hematologic malignancies in one study. While some centers have reported an increased mortality associated with non-albicans Candida species compared to C. albicans, there is no consistent pattern. In discussing mortality, it should be emphasized that multiple host factors and treatment variables other than the virulence of the yeast strain involved can contribute to and influence mortality. Testing was always indicated for persistent and recurrent candidemia and for unique clinical scenarios, e.g., C. endocarditis, particularly with the presence of non-albicans Candida species. The explanation for this phenomenon is still incomplete but includes small numbers of patients with non-albicans Candida species infections and the impact of host factors, e.g., inconsistent catheter removal, abscess drainage, etc., diluting the importance of species differences in drug susceptibility. Individual cases have also been reported in which the reduced susceptibility or resistance of individual isolates, especially those of non-albicans Candida species, do influence clinical outcome and validate the importance of in vitro susceptibility tests.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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; 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".