Evidence map›Paper›PMID 29110869›Full record

ArticleJournal of epidemiology and global health2017

Prevalence of zoonotic tuberculosis and associated risk factors in Central Indian populations.

Prachi R Bapat, Renuka S Dodkey, Seema D Shekhawat, Aliabbas A Husain, Amit R Nayak, Anuja P Kawle, Hatim F Daginawala, Lokendra K Singh, Rajpal S Kashyap

Abstract read
In one paragraph

Article in Journal of epidemiology and global health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Molecular identification ofAfrican health sciences · 2024
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  14. Phylogenomic analysis supportsFrontiers in veterinary science · 2023
    Article
  15. Article
  16. Review
  17. The Indian journal of medical research · 2022
    Review
  18. Zoonotic Tuberculosis - The Changing Landscape.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
    Article
  19. Journey towards National Institute of One Health in India.The Indian journal of medical research · 2021
    Article
  20. Non-Invasive Method to Detect Infection withSensors (Basel, Switzerland) · 2021
    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

9 authors.

Prachi R BapatResearch Centre, Central India Institute of Medical Sciences, Nagpur, Maharashtra, India.
Renuka S DodkeyResearch Centre, Central India Institute of Medical Sciences, Nagpur, Maharashtra, India.
Seema D ShekhawatResearch Centre, Central India Institute of Medical Sciences, Nagpur, Maharashtra, India.
Aliabbas A HusainResearch Centre, Central India Institute of Medical Sciences, Nagpur, Maharashtra, India.
Amit R NayakResearch Centre, Central India Institute of Medical Sciences, Nagpur, Maharashtra, India.
Anuja P KawleResearch Centre, Central India Institute of Medical Sciences, Nagpur, Maharashtra, India.
Hatim F DaginawalaResearch Centre, Central India Institute of Medical Sciences, Nagpur, Maharashtra, India.
Lokendra K SinghResearch Centre, Central India Institute of Medical Sciences, Nagpur, Maharashtra, India.
Rajpal S KashyapResearch Centre, Central India Institute of Medical Sciences, Nagpur, Maharashtra, India. Electronic address: raj_ciims@rediffmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present study, we aimed to estimate the occurrence of bovine tuberculosis (TB) and examine the determinants of distribution of the disease in three high-risk populations of Central India. A prospective cohort study was conducted in Central India between March 2014 and June 2015. Based on the requisite inclusion criteria, we recruited a total of 301 participants whose blood samples were subjected to polymerase chain reaction-based detection and differentiation of Mycobacterium bovis and Mycobacterium tuberculosis. M. bovis was detected in 11.4%, 8.9%, and 12.6% of the recruited participants belonging to three distinct population groups (Groups A, B, and C, respectively). The highest proportion of cases infected with M. bovis was observed in Group C, who lived in the high TB endemic region. Previous contact with active TB cases (odds ratio=3.7; 95% confidence interval, 0.9612-14.4533) and raw milk consumption (odds ratio=5.3472; 95% confidence interval, 1.9590-14.5956) were found to be important determinants of bovine TB in this population. The high incidence rates of bovine TB in the Central Indian populations indicate the substantial consequences of this disease for some population groups and settings. However, more research is necessary to identify the main transmission drivers in these areas.

Indexed as

AdolescentAdultAgedAged, 80 and overAnimalsCattleChildChild, PreschoolCohort StudiesFemaleHumansIncidenceIndiaInfantMaleMiddle AgedDuplex PCRMycobacterium bovisTuberculosisZoonosis

Identifiers

PMID29110869
PMCPMC7384573

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.