Evidence map›Paper›PMID 40290203›Full record

ArticleJournal of global infectious diseases

Latent Tuberculosis Infection among Household Contacts of Tuberculosis Patients, Healthcare Workers, and Tuberculosis Patients Using QuantiFERON-tuberculosis Gold Plus and Tuberculin Skin Test in a Tertiary Care Hospital Setting Bhubaneswar, Odisha - A Cross-sectional Study.

Braja Sundar Barik, Chinmay Divyadarshi Kar, Shritam Das, Tahziba Hussain, Sasmita Nayak, Arun Kumar Sahu, Sooman Sundaray, Sanghamitra Pati

Abstract read
In one paragraph

Article in Journal of global infectious diseases. 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
–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

2 citing papers in PubMed.

  1. Article
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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

8 authors.

Braja Sundar BarikDivision of NCDs, ICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Chinmay Divyadarshi KarDivision of NCDs, ICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Shritam DasDivision of NCDs, ICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Tahziba HussainDivision of NCDs, ICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Sasmita NayakDepartment of Biotechnology, School of Biotechnology, KIIT University, Bhubaneswar, Odisha, India.
Arun Kumar SahuDepartment of TB and Chest Diseases, Capital Hospital, Bhubaneswar, Odisha, India.
Sooman SundarayDepartment of TB and Chest Diseases, Capital Hospital, Bhubaneswar, Odisha, India.
Sanghamitra PatiDivision of NCDs, ICMR-Regional Medical Research Centre, Bhubaneswar, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Contacts of tuberculosis (TB) patients have an increased risk of latent TB infection (LTBI). Currently, it is diagnosed using one of the two methods: Tuberculin skin test (TST) or QuantiFERON-TB Gold Plus. This study aims to estimate the concordance of TST and QFT-TB Gold Plus and associated factors among 73 healthcare workers (HCWs) and 172 household contacts (HHCs) who came in contact with active TB patients. This study was conducted from January to June 2023. Methods: Prevalence and agreement were calculated. A regression analysis was performed to assess the predictors of discordance factors. Results: The prevalence of latent TB was 20.40% ( Conclusion: TST exhibited a profound level of agreement with the QFT-Gold Plus assay but showed a higher rate of positivity due to some associated factors among HCWs, HHCs, and TB patients.

Indexed as

Bhubaneswarcomparisoninterferon-gamma release assayslatent tuberculosis infectionQuantiFERON-TB gold plus assaytuberculin skin test

Identifiers

PMID40290203
PMCPMC12021352

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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.