Evidence map›Paper›PMID 39618833›Full record

ArticlePublic health action2024

The burden of subclinical TB in Nigeria.

B Odume, C Ogbudebe, Y Mukadi, C Dim, E Chukwu, O Chukwuogo, S Useni, N Nwokoye, M Sheshi, D Nongo and 4 more

Abstract read
In one paragraph

Article in Public health action, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

14 authors.

B OdumeKNCV Tuberculosis Foundation, Abuja, Nigeria.
C OgbudebeKNCV Tuberculosis Foundation, Abuja, Nigeria.
Y MukadiUnited States Agency for International Development (USAID), Washington, DC, USA.
C DimCollege of Medicine, University of Nigeria, Ituku-Ozalla, Nigeria.
E ChukwuKNCV Tuberculosis Foundation, Abuja, Nigeria.
O ChukwuogoKNCV Tuberculosis Foundation, Abuja, Nigeria.
S UseniKNCV Tuberculosis Foundation, Abuja, Nigeria.
N NwokoyeKNCV Tuberculosis Foundation, Abuja, Nigeria.
M SheshiKNCV Tuberculosis Foundation, Abuja, Nigeria.
D NongoUSAID, Abuja, Nigeria.
R EneoguUSAID, Abuja, Nigeria.
A IhesieUSAID, Abuja, Nigeria.
E UbochiomaNational TB, Leprosy and Buruli Ulcer Control Programme, Federal Ministry of Health Nigeria, Abuja, Nigeria.
C AnyaikeNational TB, Leprosy and Buruli Ulcer Control Programme, Federal Ministry of Health Nigeria, Abuja, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

settingThis study is a retrospective review of a large-scale systematic TB screening project conducted in six states of Nigeria.

objectiveTo determine the magnitude and characteristics of subclinical TB and the relative contributions of bacteriological versus clinical diagnosis in its identification in Nigeria.

designData were retrospectively analysed from six states of Nigeria, where parallel screening with any TB symptoms and chest X-ray (CXR) with artificial intelligence (AI) was used for active case finding. Diagnosis of TB among presumptive was confirmed using either bacteriological tests or clinical review of CXR.

resultsOut of 8,516 presumptive identified during the project, 172 (2.0%) had no TB symptoms (males: 73.8%, females: 26.2%). The overall prevalence of TB among all presumptive was 21.9% (

conclusionSubclinical TB contributed 3.3% of the large TB burden in this study (22 per 100 presumptive). These cases would have been missed if only symptom-based TB screening had been employed.

Indexed as

active tuberculosisasymptomatic presumptivedigital X-ray with artificial intelligencelatent tuberculosis

Identifiers

PMID39618833
PMCPMC11604149

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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.