Evidence map›Paper›PMID 41769300›Full record

ArticleArchives of Razi Institute2025

Prevalence of Tuberculosis/COVID 19 Co-Infection among Active Tuberculosis Patients at a Tertiary Care Hospital in Uttarakhand, India.

Jethani Varuna, Khanduri Rakhee, Jethani Sumit, Singh Sunil Kumar, Srivastava A K, Kotwal Aarti, Goyal Mamta

Abstract read
In one paragraph

Article in Archives of Razi Institute, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

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

7 authors.

Jethani VarunaDepartment of Respiratory Medicine, HIMS, Dehradun.
Khanduri RakheeDepartment of Respiratory Medicine, HIMS, Dehradun.
Jethani SumitDepartment of Community Medicine, North DMC Medical College and Hindu Rao Hospital, Delhi.
Singh Sunil KumarDepartment of Respiratory Medicine, HIMS, Dehradun.
Srivastava A KDepartment of Respiratory Medicine, HIMS, Dehradun.
Kotwal AartiDepartment of Community Medicine, Shri Atal Bihari Vajpayee Government Medical College, Chhainsa, Faridabad.
Goyal MamtaDepartment of Radiodiagnosis, HIMS, Dehradun.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Coronavirus disease 2019 (COVID-19) spread all over the world and was accepted as a pandemic by the World Health Organization (WHO) on March 11, 2020. Lungs are predominantly affected by tuberculosis and COVID -19. The objective of the study was to assess the clinical features of COVID-19 in active tuberculosis (pulmonary and extra-pulmonary) and to identify the radiological and laboratory picture of COVID -19 in patients with active tuberculosis. A cross -sectional study was conducted by the Department of Respiratory Medicine, Himalayan Institute of Medical Sciences, among patients of active tuberculosis (pulmonary and extra-pulmonary) who presented to the General Outpatient Department (OPD) of the Respiratory Medicine Department. The questionnaire included questions on socio -demographic profile, clinical features, comorbidities, clinical history, any substance abuse and laboratory investigations. Data was analyzed by SPSS software version 21.0, while Chi-square test was used for categorical data analysis. The mean age of the study participants was 47.5±5.3 years (Range 18-72). Males constituted the larger group (59.38%) as compared to females (40.63%). The prevalence of COVID-19/tuberculosis co-infection in the present study was 21.8%. Positive history of contact, bacterial culture, PCR, and CBNAAT, use of the drug, presence of cavity and pleural effusion on X -Ray, showed all remarkably higher chances (p< 0.05) of developing co-infection. The prevalence of COVID-19/tuberculosis co-infection in the present study was high. Significantly associated factors can help in identifying COVID -19 infection among tuberculosis patients. Therefore, it is recommended that screening for these factors should be done for all tuberculosis patients coming for treatment and Covid 19 vaccination.

Indexed as

COVID-19TuberculosisAdolescentAdultAgedCoinfectionCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceAddictionHistoryLungPleural EffusionX –Ray

Identifiers

PMID41769300
PMCPMC12936586

What OpenQuestion holds

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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.