Evidence map›Paper›PMID 38034214›Full record

ArticleCureus2023

A Case Series on Post-COVID Tuberculosis: An Underrated Duo of COVID-19 and Tuberculosis.

Jayakumar Rajagopal, Sandeep Konaka Gautamdas, Gayathri Sivakumar, Karthikeyan Ramaraju

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2023. 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
0.4field-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

1 citing paper in PubMed, 2 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

4 authors at 2 institutions in 1 country.

Jayakumar RajagopalRespiratory Medicine, PSG Institute of Medical Sciences and Research, Coimbatore, IND.
Sandeep Konaka GautamdasPharmacy, PSG College of Pharmacy, Coimbatore, IND.
Gayathri SivakumarRespiratory Medicine, PSG Institute of Medical Sciences and Research, Coimbatore, IND.
Karthikeyan RamarajuRespiratory Medicine, PSG Institute of Medical Sciences and Research, Coimbatore, IND.
PSG Institute of Advanced Studies · INPSG Institute of Medical Sciences & Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In India, tuberculosis (TB) has the second highest disease burden following diabetes mellitus. During the COVID-19 pandemic, there was a surge of several opportunistic infections. In this case series, we report five patients, including three adults and two adolescents, who have developed various forms of TB disease after symptomatic COVID-19 pneumonia. The average time for development of post-COVID TB was 48 days. Adolescent patients have developed disseminated TB, which can be due to COVID-19-induced immunological injury or its treatment-related immune suppression. All the adult patients had high CT severity scores (CTSS) and required the administration of intravenous steroids during their COVID-19 pneumonia. Various presentations of TB were secondary spontaneous pneumothorax, miliary TB, consolidation, and nodular infiltrates. One patient had a drug-induced liver injury, which complicated the treatment of that patient. Factors that may contribute to the development of post-COVID TB are diabetes mellitus, increased severity of COVID-19 pneumonia manifested by CTSS, and administration of intravenous steroids. Bidirectional screening of TB had to be done when patients present with symptoms of COVID-19 pneumonia.

Indexed as

adolescent tuberculosisdisseminated tuberculosispost-covid-19 complicationspost-covid tuberculosistuberculosis

Identifiers

PMID38034214
PMCPMC10687378
OpenAlexW4388044123

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.