Evidence map›Paper›PMID 39417391›Full record

SynthesisEpidemiology and infection2024

A systematic review and meta-analysis of bovine tuberculosis occurrence and burden in Bangladesh, 1970-2023.

Sk Shaheenur Islam, Konstantinos Pateras, S M Lutful Kabir, Polychronis Kostoulas, Michael P Ward, A K M Anisur Rahman

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Epidemiology and infection, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

6 authors.

Sk Shaheenur IslamDepartment of Livestock Services, Ministry of Fisheries and Livestock, Dhaka, Bangladesh.ORCID 0000-0002-0939-5948
Konstantinos PaterasLaboratory of Epidemiology, Applied Artificial Intelligence & Biostatistics, Faculty of Public and One Health, University of Thessaly, Karditsa, Greece.ORCID 0000-0002-6005-9798
S M Lutful KabirDepartment of Microbiology and Hygiene, Bangladesh Agricultural University, Mymensingh, Bangladesh.ORCID 0000-0003-3684-3387
Polychronis KostoulasLaboratory of Epidemiology, Applied Artificial Intelligence & Biostatistics, Faculty of Public and One Health, University of Thessaly, Karditsa, Greece.ORCID 0000-0001-7051-1541
Michael P WardSchool of Veterinary Science, Faculty of Science, The University of Sydney, Camden, Australia.ORCID 0000-0002-9921-4986
A K M Anisur RahmanDepartment of Medicine, Bangladesh Agricultural University, Mymensingh, Bangladesh.ORCID 0000-0001-9660-4949

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to estimate the overall apparent prevalence, true prevalence, and the spatial, temporal, and test-specific burden of bovine tuberculosis in Bangladesh. PubMed, Web of Science, Scopus, Google Scholar, and BanglaJOL were searched for bovine tuberculosis publications in Bangladesh from 1 January 1970 to 23 June 2023. Of 142 articles screened, systematic review and meta-analysis were performed on 22 (15.5%) articles. The apparent estimated bovine tuberculosis prevalence was 7%. The apparent Bayesian pooled mean bovine tuberculosis prevalences based on caudal fold test and single intradermal comparative tuberculin test were 7.83% and 9.89%, respectively, and the true pooled mean prevalences were 10.39% and 10.48%, respectively. Targeted interventions are recommended for districts with higher prevalence to effectively reduce the bovine tuberculosis burden in those areas. Current diagnostic practices employed in Bangladesh may not accurately reflect the bovine tuberculosis burden. Our findings highlight the need for better diagnostic tools and supplemental testing methods to ensure accurate diagnosis and surveillance. Efforts should prioritize obtaining 'true' prevalence estimates corrected for misclassification bias, rather than relying solely on apparent prevalence. Underestimating the bovine tuberculosis burden could result in inadequate resource allocation and hinder the implementation of effective control measures.

Indexed as

Tuberculosis, BovineAnimalsBangladeshCattlePrevalenceTuberculin TestMycobacterium bovisMycobacterium orygisone healthtrue prevalencezoonotic tuberculosis

Identifiers

PMID39417391
PMCPMC11502424

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.