Evidence map›Paper›PMID 36233523›Full record

ReviewJournal of clinical medicine2022

Clinical Outcomes of Individuals with COVID-19 and Tuberculosis during the Pre-Vaccination Period of the Pandemic: A Systematic Review.

Tulip A Jhaveri, Celia Fung, Allison N LaHood, Andrew Lindeborg, Chengbo Zeng, Rifat Rahman, Paul A Bain, Gustavo E Velásquez, Carole D Mitnick

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Tulip A JhaveriDivision of Infectious Diseases, Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA.ORCID 0000-0002-8758-3696
Celia FungDepartment of Neurology, Yale New Haven Hospital, New Haven, CT 06510, USA.
Allison N LaHoodDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA 02115, USA.
Andrew LindeborgDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA 02115, USA.
Chengbo ZengDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-3512-1115
Rifat RahmanDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA 02115, USA.
Paul A BainFrancis A. Countway Library of Medicine, Harvard Medical School, Boston, MA 02115, USA.
Gustavo E VelásquezUCSF Center for Tuberculosis, University of California San Francisco, San Francisco, CA 94110, USA.ORCID 0000-0003-1438-0692
Carole D MitnickDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA 02115, USA.
Harvard University · USBrigham and Women's Hospital · USYale New Haven Hospital · US

Funding

The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ARTHUR Y KIM · 2004 to 2026
$94.4M
Safety and tolerability of new and repurposed drugs for MDR-TB treatmentK08AI141740 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VELASQUEZ, GUSTAVO EDUARDO · 2019 to 2023
$985k
NIAID NIH HHS K08 AI141740NIAID NIH HHS P30 AI060354
6 · The paper itself

Abstract

backgroundTuberculosis, like COVID-19, is most often a pulmonary disease. The COVID-19 pandemic has severely disrupted tuberculosis services in myriad ways: health facility closures, lockdowns, travel bans, overwhelmed healthcare systems, restricted export of antituberculous drugs, etc. The effects of the shared risk on outcomes of the two diseases is not known, particularly for the first year of the pandemic, during the period before COVID-19 vaccines became widely available.

objectiveWe embarked on a systematic review to elucidate the consequences of tuberculosis on COVID-19 outcomes and of COVID-19 on tuberculosis outcomes during the pre-vaccination period of the pandemic.

methodsThe systematic review protocol is registered in PROSPERO. We conducted an initial search of PubMed, Embase, Web of Science, WHO coronavirus database, medRxiv, bioRxiv, preprints.org, and Google Scholar using terms relating to COVID-19 and tuberculosis. We selected cohort and case-control studies for extraction and assessed quality with the Newcastle-Ottawa scale. RESULTS AND

conclusionWe identified 2108 unique abstracts published between December 2019 and January 2021. We extracted data from 18 studies from 8 countries. A total of 650,317 persons had a diagnosis of COVID-19, and 4179 had a diagnosis of current or prior tuberculosis. We explored links between tuberculosis and COVID-19 incidence, mortality, and other adverse outcomes. Nine studies reported on mortality and 13 on other adverse outcomes; results on the association between tuberculosis and COVID-19 mortality/adverse outcomes were heterogenous. Tuberculosis outcomes were not fully available in any studies, due to short follow-up (maximum of 3 months after COVID-19 diagnosis), so the effects of COVID-19 on tuberculosis outcomes could not be assessed. Much of the rapid influx of literature on tuberculosis and COVID-19 during this period was published on preprint servers, and therefore not peer-reviewed. It offered limited examination of the effect of tuberculosis on COVID-19 outcomes and even less on the effect of COVID-19 on tuberculosis treatment outcomes.

Indexed as

comorbidityCOVID-19mortalitypre-vaccinationSARS-CoV-2systematic reviewtuberculosis

Identifiers

PMID36233523
PMCPMC9570663
OpenAlexW4297224910

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.