Evidence map›Paper›PMID 40140738›Full record

ArticleBMC infectious diseases2025

Impact of the COVID-19 pandemic on the epidemiology and clinical course of tuberculosis: expected and paradoxical consequences.

Yakov Schwartz, Anna Vyazovaya, Natalya Tursunova, Igor Mokrousov

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Yakov SchwartzNovosibirsk Tuberculosis Research Institute, Novosibirsk, Russia. yshschwartz@mail.ru.
Anna VyazovayaLaboratory of Molecular Epidemiology and Evolutionary Genetics, St. Petersburg Pasteur Institute, St. Petersburg, Russia.
Natalya TursunovaNovosibirsk Tuberculosis Research Institute, Novosibirsk, Russia.
Igor MokrousovLaboratory of Molecular Epidemiology and Evolutionary Genetics, St. Petersburg Pasteur Institute, St. Petersburg, Russia. imokrousov@mail.ru.

Funding

Russian Foundation for Basic Research 20-515-80006
6 · The paper itself

Abstract

backgroundThis study included tuberculosis (TB) patients from high-burden Russian regions of Siberia and Far East. We aimed to assess the impact of the COVID-19 pandemic on the genotypic structure of Mycobacterium tuberculosis population and on epidemiology and clinical course of tuberculosis in TB and TB/COVID-19 coinfected patients.

methodsA total of 456 M. tuberculosis isolates were studied and submitted to drug susceptibility testing and genotyping. The modern Beijing genotype and its main Russian epidemic and endemic clusters (B0/W148 and Central Asian/Russian), and ancient Beijing sublineage were detected by PCR assays targeting specific molecular markers. Non-Beijing isolates were spoligotyped and compared to SITVIT2 database.

resultsMore than 80% of strains belonged to the Beijing genotype. Among Beijing strains, genetic clusters B0/W148 and Central-Asian/Russian (94-32) accounted for 94.2% in the pre-pandemic period and 96.6% during the pandemic in the TB group, and 81.5% of TB/COVID-19 group. Moreover, in the pre-pandemic TB group, the ratio of B0/W148 and 94-32 was almost 1:1 (49.7:44.4%), during the pandemic-1.5:1.0 (57.9:38.8%), while in the TB/COVID-19 group, the ratio shifted in favor of the 94-32 cluster and became 1:2 (31.8:65.9%). In TB/COVID patients, the structure of clinical forms shifted from chronic forms (fibrous cavernous TB, tuberculoma) to forms with more active inflammatory and destructive-inflammatory reactions (infiltration, dissemination, cavernous TB). In TB (without COVID-19-coinfection) group, the effectiveness of TB treatment during the pandemic decreased by 20.6% (p = 0.002). In the TB/COVID-19 group, the effectiveness of treatment increased, likely due to the predominance of the less frequently MDR Beijing 94-32 cluster in this group. A statistically significant positive correlation was shown between the detection of the 94-32-cluster and the effectiveness of treatment of patients with TB/COVID-19 (Q = 0.56, p = 0.006).

conclusionsOur results are consistent with the reportedly higher ability of Beijing B0/W148 strains (compared to Beijing 94-32) to acquire resistance to anti-TB drugs, their increased virulence and transmissibility. Thus, the seemingly paradoxical, milder clinical course of TB in patients who further developed COVID-19 is explained by a shift in the ratio of M. tuberculosis subtypes due to syndemic interaction between the two epidemics.

Indexed as

COVID-19Mycobacterium tuberculosisTuberculosisAdultAgedAntitubercular AgentsCoinfectionFemaleGenotypeHumansMaleMiddle AgedPandemicsRussiaSARS-CoV-2SiberiaAntitubercular AgentsAntimicrobial resistanceEpidemiologyHealth systemInfectious diseasesTuberculosis

Identifiers

PMID40140738
PMCPMC11948883

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.