Evidence map›Paper›PMID 34966601›Full record

ArticleCureus2021

Impact of Latent Tuberculosis on Severity and Outcomes in Admitted COVID-19 Patients.

Manu Madan, Bhvya Baldwa, Arun Raja, Rahul Tyagi, Tanima Dwivedi, Anant Mohan, Saurabh Mittal, Karan Madan, Vijay Hadda, Pawan Tiwari and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  7. Review
  8. Article
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  13. Prevalence of Tuberculosis Infection among Various Risk Groups in India: A Systematic Review and Meta-Analysis.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Review
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

11 authors at 1 institution in 1 country.

Manu MadanPulmonary Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Bhvya BaldwaPulmonary Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Arun RajaPulmonary Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Rahul TyagiPulmonary Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Tanima DwivediLaboratory Oncology, All India Institute of Medical Sciences, National Cancer Institute, Jhajjhar, Jhajjhar, IND.
Anant MohanPulmonary Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Saurabh MittalPulmonary Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Karan MadanPulmonary Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Vijay HaddaPulmonary Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Pawan TiwariPulmonary Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
Randeep GuleriaPulmonary Critical Care and Sleep Medicine, All India Institute of Medical Sciences, New Delhi, New Delhi, IND.
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background There is limited data on coronavirus disease 2019 (COVID-19) and latent tuberculosis infection (LTBI). Methodology We analyzed data of admitted COVID-19 patients evaluated for LTBI to examine the impact of LTBI on severity, laboratory parameters, and COVID-19 outcome. Prospectively collected data were analyzed for 60 patients who were administered the Mantoux tuberculosis skin test (TST) using five tuberculin units of purified protein derivative. All patients were administered TST irrespective of Bacille Calmette-Guérin (BCG) vaccination status. Comorbidities, clinical features, radiologic involvement, laboratory parameters, and clinical course were analyzed concerning LTBI. Results The mean age was 45.9 (±15.2) years, and 35 (58.3%) patients had non-severe disease. The vast majority (n = 56/60; 93.3%) had been vaccinated with single-dose BCG in infancy or early childhood, as per national immunization guidelines. LTBI was diagnosed in 15 (25%) patients. LTBI prevalence was lower in severe (n = 1/25; 4%) than non-severe (n = 14/35; 40%) COVID-19 (p = 0.01) patients. LTBI patients had lower percentage neutrophil count, higher lymphocyte percentage, higher monocyte count, lower neutrophil-lymphocyte (NL) ratio, lower alanine aminotransferase, lower C-reactive protein, and lesser radiologic involvement compared to those without LTBI (p < 0.05). Similarly, among the mild COVID-19 subgroup, those with LTBI had higher lymphocyte and monocyte counts and lesser radiologic involvement than those without LTBI (p < 0.05). Conclusions LTBI patients appear to have milder disease, higher lymphocyte and monocyte count, higher NL ratio, and lesser radiographic involvement. This observation needs to be studied in larger studies using interferon release assays.

Indexed as

covid-19covid-19 severitylatent tuberculosisltbimantoux test

Identifiers

PMID34966601
PMCPMC8709920
OpenAlexW3214753825

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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.