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Record W3199725045 · doi:10.1136/thoraxjnl-2020-216409

Gender-based differences in community-wide screening for pulmonary tuberculosis in Karachi, Pakistan: an observational study of 311 732 individuals undergoing screening

2021· article· en· W3199725045 on OpenAlexaff
Shifa Salman Habib, Syed Mohammad Asad Zaidi, Wafa Zehra Jamal, Kiran Sohail Azeemi, Salman Khan, Saira Khowaja, Abdul Khalique Domki, Aamir Khan, Faiz Ahmad Khan

Bibliographic record

VenueThorax · 2021
Typearticle
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsMcGill UniversityMcGill University Health Centre
Fundersnot available
KeywordsMedicineSputumObservational studyTuberculosisPulmonary tuberculosisInternal medicineDemographyPathology

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.909

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.342
GPT teacher head0.440
Teacher spread0.099 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations15
Published2021
Admission routes1
Has abstractyes

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