Evidence map›Paper›PMID 38076072›Full record

ArticleHeliyon2023

Very low prevalence of bovine tuberculosis in cattle in Sylhet district of Bangladesh.

Pradeep Kumar Mandal, Md Irtija Ahsan, Hrithik Deb Apu, Sharmin Akter, Syed Sayeem Uddin Ahmed, Suman Paul

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

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Molecular and Serological Detection ofVeterinary medicine international · 2024
    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 at 1 institution in 1 country.

Pradeep Kumar MandalLahan Technical School, Lahan, 56502, Nepal.
Md Irtija AhsanDepartment of Epidemiology and Public Health, Sylhet Agricultural University, Sylhet, 3100, Bangladesh.
Hrithik Deb ApuDepartment of Epidemiology and Public Health, Sylhet Agricultural University, Sylhet, 3100, Bangladesh.
Sharmin AkterDepartment of Epidemiology and Public Health, Sylhet Agricultural University, Sylhet, 3100, Bangladesh.
Syed Sayeem Uddin AhmedDepartment of Epidemiology and Public Health, Sylhet Agricultural University, Sylhet, 3100, Bangladesh.
Suman PaulDepartment of Epidemiology and Public Health, Sylhet Agricultural University, Sylhet, 3100, Bangladesh.
Sylhet Agricultural University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine tuberculosis (bTB), a chronic zoonotic disease in cattle, has a substantial socio-economic and public health impact. This study was conducted to estimate the prevalence and geographical distribution of bTB in the Sylhet district of Bangladesh. A cross-sectional study was conducted at all 12 upazilas of Sylhet district, which included 512 randomly selected cattle from 48 farms. Selected animals were tested with the Caudal Fold Tuberculin (CFT) test to identify bTB-positive cattle. Out of 512 cattle, only one animal was identified as a reactor, providing an estimated prevalence of 0.19% (95% Confidence Interval; 0-0.58%). The only positive reactor was found in Zakiganj upazila. As the prevalence of bTB in cattle in Sylhet appears to be low, it indicates that most of the upazilas of Sylhet district are free of the bTB infection. This prevalence is lower than the reported prevalence in other parts of Bangladesh. Thus, attempts should be made to maintain the current situation of bTB infection in cattle of Sylhet district.

Indexed as

Bovine tuberculosis (bTB)Caudal Fold Tuberculin (CFT) testDistributionMycobacterium bovisPrevalence

Identifiers

PMID38076072
PMCPMC10709486
OpenAlexW4388830564

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.