Evidence map›Paper›PMID 35819968›Full record

ArticlePloS one2022

Hierarchical true prevalence, risk factors and clinical symptoms of tuberculosis among suspects in Bangladesh.

Mohammad Kamruzzaman Khan, Md Nazimul Islam, Jayedul Hassan, Shaymal Kumar Paul, M Ariful Islam, Konstantinos Pateras, Polychronis Kostoulas, Michael P Ward, A K M Anisur Rahman, Md Mahbub Alam

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2022. 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
0.2field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

10 authors at 3 institutions in 3 countries.

Mohammad Kamruzzaman KhanFaculty of Veterinary Science, Department of Medicine, Bangladesh Agricultural University, Mymensingh, Bangladesh.ORCID 0000-0003-4854-7999
Md Nazimul IslamFaculty of Veterinary Science, Department of Medicine, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Jayedul HassanFaculty of Veterinary Science, Department of Microbiology and Hygiene, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Shaymal Kumar PaulDepartment of Microbiology, Netrokona Medical College, Netrokona, Bangladesh.
M Ariful IslamFaculty of Veterinary Science, Department of Medicine, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Konstantinos PaterasLaboratory of Epidemiology & Artificial Intelligence, Faculty of Public Health, University of Thessaly, Volos, Greece.ORCID 0000-0002-6005-9798
Polychronis KostoulasLaboratory of Epidemiology & Artificial Intelligence, Faculty of Public Health, University of Thessaly, Volos, Greece.
Michael P WardSydney School of Veterinary Science, The University of Sydney, Camden, New South Wales, Australia.
A K M Anisur RahmanFaculty of Veterinary Science, Department of Medicine, Bangladesh Agricultural University, Mymensingh, Bangladesh.ORCID 0000-0001-9660-4949
Md Mahbub AlamFaculty of Veterinary Science, Department of Medicine, Bangladesh Agricultural University, Mymensingh, Bangladesh.ORCID 0000-0002-5917-8546
Bangladesh Agricultural University · BDUniversity of Thessaly · GRThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe study was aimed to estimate the true prevalence of human tuberculosis (TB); identify risk factors and clinical symptoms of TB; and detect rifampicin (RIF) sensitivity in three study areas of Bangladesh.

methodsThe cross-sectional study was conducted in three Bangladesh districts during 2018. Potential risk factors, clinical symptoms, and comorbidities were collected from 684 TB suspects. Sputum specimens were examined by LED microscopy. TB hierarchical true prevalence, risk factors and clinical symptoms were estimated and identified using a Bayesian analysis framework. Rifampicin sensitivity of M. tuberculosis (MTB) was detected by GeneXpert MTB/RIF assay.

resultsThe median TB true prevalence was 14.2% (3.8; 34.5). Although overall clustering of prevalence was not found, several DOTS centers were identified with high prevalence (22.3% to 43.7%). Risk factors for TB identified (odds ratio) were age (> 25 to 45 years 2.67 (1.09; 6.99), > 45 to 60 years 3.43 (1.38; 9.19) and individuals in families/neighborhoods where a TB patient(s) has (ve) already been present (12.31 (6.79; 22.60)). Fatigue, night sweat, fever and hemoptysis were identified as important clinical symptoms. Seven of the GeneXpert MTB/RIF positive sputum specimens (65) were resistant to rifampicin.

conclusionsAbout one in every seven TB suspects was affected with TB. A number of the TB patients carry multi drug resistant MTB. Hierarchical true prevalence estimation allowed identifying DOTS centers with high TB burden. Insights from this study will enable more efficient use of DOTScenters-based TB surveillance to end the TB epidemic in Bangladesh by 2035.

Indexed as

Mycobacterium tuberculosisTuberculosisTuberculosis, PulmonaryAdultBangladeshBayes TheoremCross-Sectional StudiesHumansMiddle AgedRifampinRisk FactorsSensitivity and SpecificitySputumRifampin

Identifiers

PMID35819968
PMCPMC9275716
OpenAlexW4285078938

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.