Comparison of Two Interferon-γ Assays and Tuberculin Skin Test for Tracing Tuberculosis Contacts
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: The tuberculin skin test (TST) has low specificity. QuantiFERON-TB Gold (QFT-G) and T-SPOT.TB are based on interferon (IFN)-gamma responses to Mycobacterium tuberculosis-specific antigens. A novel in-tube format of QFT-G (QFT-GIT) offers logistical advantages. OBJECTIVE: To compare TST, QFT-GIT, and T-SPOT.TB in bacillus Calmette-Guérin unvaccinated contacts and correlate results with measures of recent exposure. METHODS: When a supermarket employee with smear-positive tuberculosis had infected most close contacts, a contact investigation among more than 20,000 customers was performed. We recruited subjects randomly on the day of TST administration (n = 469) and subjects with TST of more than 0 mm on the day of TST reading (n = 316). QFT-GIT and T-SPOT.TB were performed. Demographic data and measures of exposure were collected. TST results were analyzed at a cutoff of 10 or 15 mm. Blood tests were interpreted following the manufacturers' criteria and by varying cutoff levels. RESULTS: Among 785 study participants, TST results were associated with age, whereas positive IFN-gamma responses were significantly associated with cumulative shopping time, most markedly for QFT-GIT. Among participants with a TST of 15 mm or greater, sensitivity of QFT-GIT and T-SPOT.TB was 42.2 and 51.3%, respectively. Interassay agreement was 89.6% (kappa = 0.59). By varying cutoff values, agreement between the IFN-gamma assays was optimal at 93.6% (kappa = 0.71) using a cutoff of 0.20 IU/ml for QFT-GIT and 13 spots for T-SPOT.TB. CONCLUSIONS: Blood test results were associated with exposure, whereas the TST was not. A possible lack of sensitivity of IFN-gamma assays in detecting individuals with TST of 15 mm or greater, despite negative bacillus Calmette-Guérin vaccination status, warrants further investigation into alternative cutoff values.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it