Gender-based differences in community-wide screening for pulmonary tuberculosis in Karachi, Pakistan: an observational study of 311 732 individuals undergoing screening
Bibliographic record
Abstract
We describe gender-based differences in a community-wide TB screening programme in Karachi, Pakistan, in which 311 732 individuals were screened in mobile camps using symptom questionnaires and van-mounted digital chest X-ray, between 1 January 2018 and 31 December 2019. Only 22.4% (69 869) of camp attendees were women. Female attendees were less likely to have sputum collected and tested (31.5% (95% CI 30.4% to 32.7%) vs 38.5% (95% CI 37.6% to 39.1%)) or to initiate TB treatment (75.9% (95% CI 68.1% to 82.6%) vs 82.8% (95% CI 78.9% to 86.2%)), when indicated. Among the participants, the age-standardised prevalence of active TB was higher among women (prevalence ratio 1.4, 95% CI 1.1 to 1.7). These findings underscore the importance of integrating gender into the design and monitoring of TB screening programmes to ensure that women and men benefit equally from this important intervention.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".