Evidence map›Paper›PMID 34880948›Full record

ArticleJournal of infection prevention2021

Tuberculosis prevalence, knowledge of transmission and its association with vaccination of children.

Anisha Das, Tejal Lakhan, Sayeed Unisa

Open access · bronzeAbstract read
In one paragraph

Article in Journal of infection prevention, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 2 institutions in 2 countries.

Anisha DasDepartment of Statistics and Biostatistics, Florida State University, USA.ORCID https://orcid.org/0000-0002-8226-184X
Tejal LakhanDepartment of Bio-statistics and Demography, International Institute for Population Sciences, Mumbai, India.
Sayeed UnisaDepartment of Mathematical Demography and Statistics, International Institute for Population Sciences, Mumbai, India.
International Institute for Population Sciences · INFlorida State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding the perceptions of patients regarding tuberculosis (TB) will enable better design of a comprehensive, client-oriented program for the disease.

methodsThis study was conducted district-wise across India in 2015-2016 as part of the National Family Health Surveys (NFHS).

resultsWe discovered that the prevalence of TB remains significantly high, with quite a high percentage of people being unaware of the exact cause of disease proliferation. The majority of people believed that touching or sharing utensils can be a source of TB. This perception affected the participants' responses about seeking diagnosis and treatment. However, it is a good sign that most people knew that TB is a curable disease that can be prevented to some extent if immunization with the Bacillus Calmette-Guérin (BCG) vaccine is done at the correct stage. So, a large section of the population had their children vaccinated. In addition, they would go for diagnosis if they had symptoms suggestive of the disease.

conclusionFindings from this study are indicative of the fact that a large population is aware that health facilities can make a significant contribution to the treatment of tuberculosis. There is a need to further investigate how this information could potentially be used to enhance early seeking of appropriate services among TB patients.

Indexed as

BCG vaccineoccurrenceperceptionsspreadtreatmenttuberculosis

Identifiers

PMID34880948
PMCPMC8647637
OpenAlexW3175701646

What OpenQuestion holds

Textmetadata
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.