Evidence map›Paper›PMID 37235316›Full record

ArticleTropical medicine and infectious disease2023

Superimposed Pulmonary Tuberculosis (PTB) in a 26-Year-Old Female with No Underlying Co-Morbidities Recovering from COVID-19-Case Report.

Katanekwa Njekwa, Monde Muyoyeta, Bavin Mulenga, Caroline Cleopatra Chisenga, Michelo Simuyandi, Roma Chilengi

Abstract readCase Reports
In one paragraph

Article in Tropical medicine and infectious disease, 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
–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

1 citing paper in PubMed.

  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

6 authors.

Katanekwa NjekwaCenter for Infectious Disease Research in Zambia (CIDRZ), P.O. Box 34681, Lusaka 10101, Zambia.ORCID 0000-0003-0294-4489
Monde MuyoyetaCenter for Infectious Disease Research in Zambia (CIDRZ), P.O. Box 34681, Lusaka 10101, Zambia.
Bavin MulengaCenter for Infectious Disease Research in Zambia (CIDRZ), P.O. Box 34681, Lusaka 10101, Zambia.
Caroline Cleopatra ChisengaCenter for Infectious Disease Research in Zambia (CIDRZ), P.O. Box 34681, Lusaka 10101, Zambia.
Michelo SimuyandiCenter for Infectious Disease Research in Zambia (CIDRZ), P.O. Box 34681, Lusaka 10101, Zambia.ORCID 0000-0002-7348-2835
Roma ChilengiCenter for Infectious Disease Research in Zambia (CIDRZ), P.O. Box 34681, Lusaka 10101, Zambia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis before the COVID-19 pandemic is said to have killed more people globally than any other communicable disease and is ranked the 13th cause of death, according to the WHO. Tuberculosis also still remains highly endemic, especially in LIMCs with a high burden of people living with HIV/AIDS, in which it is the leading cause of mortality. Given the risk factors associated with COVID-19, the cross similarities between tuberculosis and COVID-19 symptoms, and the paucity of data on how both diseases impact each other, there is a need to generate more information on COVID-19-TB co-infection. In this case report, we present a young female patient of reproductive age with no underlying comorbidities recovering from COVID-19, who later presented with pulmonary tuberculosis. It describes the series of investigations performed and treatments given during the follow-up. There is a need for more surveillance for possible COVID-19-TB co-infection cases and further research to understand the impact of COVID-19 on tuberculosis and vice versa, especially in LMICs.

Indexed as

COVID-19rt-PCRSARS-CoV-2tuberculosis (TB)

Identifiers

PMID37235316
PMCPMC10221239

What OpenQuestion holds

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LicenceCC BY
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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.