Clinical Usefulness of Components of the Triage Immunoassay, Enzyme Immunoassay for Toxins A and B, and Cytotoxin B Tissue Culture Assay for the Diagnosis of Clostridium difficile Diarrhea
Bibliographic record
Abstract
We studied 557 nonduplicate fresh stool specimens from adult patients clinically suspected of having Clostridium difficile-associated diarrhea. All samples were tested in parallel with an in-house cytotoxin B tissue culture assay (CTA), the C DIFFICILE TOX A/B II test (TA/B; TechLab, Blacksburg, VA), and the Triage Micro C DIFFICILE Panel (Biosite Diagnostics, San Diego, CA). The Triage device detects toxin A (TA) and glutamate dehydrogenase (GDH) simultaneously. Of the specimens, 350 were negative and 95 were positive for all markers. Another 112 specimens yielded discrepant results. The CTA found 143 positive specimens. Results of the components of the Triage and TA/B were compared separately with those of CTA. GDH was the most sensitive but least specific marker, whereas TA and TA/B were less sensitive but highly specific. Because of these attributes and a quick turnaround time, GDH would be the best screening test for C difficile-associated diarrhea. CTA detected the highest number of cases of C difficile-associated diarrhea and would be most useful as a confirmatory test for GDH-positive and TA-negative specimens.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".