Evidence map›Paper›PMID 40530378›Full record

ArticleIJTLD open2025

Antenatal screening for TB disease: a systematic review and meta-analysis.

A J Morton, N Meagher, G Tonkin-Hill, J T Denholm, R I Zahroh, S J Dunstan

Abstract read
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Article in IJTLD open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

A J MortonDepartment of Infectious Diseases, Melbourne Medical School, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, 792 Elizabeth St, Melbourne, Victoria, Australia.
N MeagherDepartment of Infectious Diseases, Melbourne Medical School, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, 792 Elizabeth St, Melbourne, Victoria, Australia.
G Tonkin-HillVictorian Infectious Diseases Service, Melbourne Health, Parkville, at the Peter Doherty Institute for Infection and Immunity, 792 Elizabeth St, Melbourne, Victoria, Australia.
J T DenholmDepartment of Infectious Diseases, Melbourne Medical School, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, 792 Elizabeth St, Melbourne, Victoria, Australia.
R I ZahrohGender and Women's Health Unit, Nossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Grattan Street, Parkville, Victoria, Australia.
S J DunstanDepartment of Infectious Diseases, Melbourne Medical School, The University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, 792 Elizabeth St, Melbourne, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTB disease during pregnancy is associated with poor maternal and neonatal outcomes, and is a leading non-obstetric cause of maternal death. However, optimal detection strategies remain uncertain. We aimed to identify the optimal screening approach for TB disease in pregnant women.

methodsWe searched Ovid MEDLINE, Embase + Embase Classic, Web of Science, and CENTRAL to identify antenatal screening studies for TB disease. The yield, number needed to screen (NNS), and positive predictive value (PPV) were calculated for each method. Pooled estimates were generated using random-effects meta-analyses. Narrative synthesis was conducted to summarise secondary outcomes.

resultsWe included 33 studies. Pooled yield for symptom screening (SS) was 7.26 [95% CI: 0.70, 19.25] cases per 1,000 versus 5.12 [95% CI: 0.79, 12.39] for TST/IGRA. NNS was 138 [95% CI: 51.95, 1,428.57] for SS versus 1,667 [95% CI: 537.63, 1,000,000] for TST/IGRA. SS pooled PPV was 3.85% [95% CI: 1.23-7.57%], and <0.01% [95% CI: <0.01-0.05%] for TST/IGRA. Narrative synthesis indicated antenatal SS is low-cost, feasible, and acceptable but poorly implemented.

conclusionIn pregnancy, symptom screening demonstrates highest yield and lowest NNS, is low-cost, feasible and acceptable. While currently optimal, the low PPV underscores the need for TB screening tools tailored to pregnant populations.

Indexed as

IGRAobstetricspregnancyscreeningTSTtuberculosis

Identifiers

PMID40530378
PMCPMC12168728

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.