Evidence map›Paper›PMID 35734009›Full record

ArticlePublic health action2022

Portable digital X-ray for TB pre-diagnosis screening in rural communities in Nigeria.

B Odume, E Chukwu, T Fawole, N Nwokoye, C Ogbudebe, O Chukwuogo, S Useni, C Dim, E Ubochioma, D Nongo and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Public health action, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 14% of its field
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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
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  5. Article
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  7. Article
  8. The burden of subclinical TB in Nigeria.Public health action · 2024
    Article
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  12. Review
  13. Review
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 at 4 institutions in 1 country.

B OdumeTechnical Division, KNCV Tuberculosis Foundation Nigeria, Abuja, Nigeria.
E ChukwuTechnical Division, KNCV Tuberculosis Foundation Nigeria, Abuja, Nigeria.
T FawoleTechnical Division, KNCV Tuberculosis Foundation Nigeria, Abuja, Nigeria.
N NwokoyeTechnical Division, KNCV Tuberculosis Foundation Nigeria, Abuja, Nigeria.
C OgbudebeTechnical Division, KNCV Tuberculosis Foundation Nigeria, Abuja, Nigeria.
O ChukwuogoTechnical Division, KNCV Tuberculosis Foundation Nigeria, Abuja, Nigeria.
S UseniTechnical Division, KNCV Tuberculosis Foundation Nigeria, Abuja, Nigeria.
C DimCollege of Medicine, University of Nigeria, Ituku-Ozalla, Enugu State, Nigeria.
E UbochiomaNational Tuberculosis, Leprosy and Buruli Ulcer Control Program, Federal Ministry of Health Public Health, Abuja, Nigeria.
D NongoTB/HIV Unit, HIV/AIDS & TB Office USAID Nigeria, Abuja, Nigeria.
R EneoguTB/HIV Unit, HIV/AIDS & TB Office USAID Nigeria, Abuja, Nigeria.
T Lagundoye OdusoteTB/HIV Unit, HIV/AIDS & TB Office USAID Nigeria, Abuja, Nigeria.
O OyelaranTB/HIV Unit, HIV/AIDS & TB Office USAID Nigeria, Abuja, Nigeria.
C AnyaikeNational Tuberculosis, Leprosy and Buruli Ulcer Control Program, Federal Ministry of Health Public Health, Abuja, Nigeria.
Caritas Nigeria · NGAIDS Prevention Initiative in Nigeria · NGFederal Ministry of Health · NGUniversity of Nigeria Teaching Hospital · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

settingThis pilot project was conducted in hard-to-reach communities of two Niger Delta States in the South-South Region of Nigeria.

objectiveTo assess the usefulness of portable digital X-ray, the Delft-Light Backpack (DLB) for TB active case-finding (ACF) in hard-to-reach Niger Delta communities using the WHO 3B TB screening/diagnosis algorithm.

designDLB X-ray was used to screen all consenting eligible participants during community TB screening out-reaches in all hard-to-reach communities of Akwa Ibom and Cross River States in the Niger Delta, Nigeria. Participants with a CAD4TB (computer-aided detection for TB score) ⩾60 had Xpert (sputum) and/or clinical (radiograph) assessment for TB diagnosis. Data from the project were analysed for this study.

resultsA total of 8,230 participants (males: 47.2%, females: 52.8%) underwent TB screening and 1,140 (13.9%) presumptive TB cases were identified. The TB prevalence among all participants and among those with presumptive TB were respectively 1.2% and 8.6%. The number needed to screen was 84. Among people with presumptive TB, the proportion of males and females with confirmed TB was respectively 12.0% and 5.6% (

conclusionTB screening using DLB X-ray during community-based ACF in hard-to-reach Niger Delta communities of Nigeria showed a high TB prevalence among participants. Nationwide deployment of the instrument in hard-to-reach areas is recommended.

Indexed as

community-based active TB case-findingcomputer-aided detection for TBDelft Light BackpackGeneXpert TB diagnosisWHO 3B TB screening/diagnosis algorithm

Identifiers

PMID35734009
PMCPMC9176193
OpenAlexW4283396654

What OpenQuestion holds

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Registered trials

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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.