Evidence map›Paper›PMID 26379705›Full record

ArticleInterdisciplinary perspectives on infectious diseases2015

Diagnosis and Treatment of Childhood Pulmonary Tuberculosis: A Cross-Sectional Study of Practices among Paediatricians in Private Sector, Mumbai.

Carolyn Kavita Tauro, Nilesh Chandrakant Gawde

Open access · goldAbstract read
In one paragraph

Article in Interdisciplinary perspectives on infectious diseases, 2015. 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
0.6field-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

1 citing paper in PubMed, 4 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

2 authors at 1 institution in 1 country.

Carolyn Kavita TauroSchool of Health Systems Studies, Tata Institute of Social Sciences, Sion-Trombay Road, Deonar, Mumbai, Maharashtra 400 088, India.
Nilesh Chandrakant GawdeCentre for Public Health, School of Health Systems Studies, Tata Institute of Social Sciences, Sion-Trombay Road, Deonar, Mumbai, Maharashtra 400 088, India.
Tata Institute of Social Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Majority of children with tuberculosis are treated in private sector in India with no available data on management practices. The study assessed diagnostic and treatment practices related to childhood pulmonary tuberculosis among paediatricians in Mumbai's private sector in comparison with International Standards for Tuberculosis Care (ISTC) 2009. In this cross-sectional study, 64 paediatricians from private sector filled self-administered questionnaires. Cough was reported as a symptom of childhood TB by 77.8% of respondents. 38.1% request sputum smear or culture for diagnosis and fewer (32.8%) use it for patients positive on chest radiographs and 32.8% induce sputum for those unable to produce it. Sputum negative TB suspect is always tested with X-ray or tuberculin skin test. 61.4% prescribe regimen as recommended in ISTC and all monitor progress to treatment clinically. Drug-resistance at beginning of treatment is suspected for child in contact with a drug-resistant patient (67.7%) and with prior history of antitubercular treatment (12.9%). About half of them (48%) request drug-resistance test for rifampicin in case of nonresponse after two to three months of therapy and regimen prescribed by 41.7% for multidrug-resistant TB was as per ISTC. The study highlights inappropriate diagnostic and treatment practices for managing childhood pulmonary TB among paediatricians in private sector.

Identifiers

PMID26379705
PMCPMC4563113
OpenAlexW1642541025

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.