Evaluation of five conventional and molecular approaches for diagnosis of cryptococcal meningitis in non‐<scp>HIV</scp>‐infected patients
Bibliographic record
Abstract
Cryptococcal meningitis (CM) is a life-threatening mycosis primarily occurring in HIV-infected individuals. Recently, non-HIV-infected hosts were increasingly reported to form a considerable proportion. However, the majority of the reported studies on the diagnosis of CM patients were performed on HIV-infected patients. For evaluation of various diagnostic approaches for CM in non-HIV-infected patients, a range of conventional and molecular assays used for diagnosis of CM were verified on 85 clinical CSFs from non-HIV-infected CM patients, including India ink staining, culture, a newly developed loop-mediated isothermal amplification (LAMP), the lateral flow assay (LFA) of cryptococcal antigen detection and a qPCR assay. The LFA had the highest positive detection rate (97.6%; 95% CI, 91.8-99.7%) in non-HIV-infected CM patients, followed by the LAMP (87.1%; 95% CI, 78.0-93.4%), the qPCR (80.0%; 95% CI, 69.9-87.9%), India ink staining (70.6%; 95% CI, 59.7-80.0%) and culture (35.3%; 95% CI, 25.2-46.4%). All culture positive specimens were correctly identified by the LFA.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".