Evidence map›Paper›PMID 36294903›Full record

ArticleLife (Basel, Switzerland)2022

Tuberculosis in the Russian Federation: Dynamics of the Epidemic Indicators before and after COVID-19 Pandemic.

Anna Starshinova, Irina Dovgalyk, Mikhail Beltukov, Yulia Zinchenko, Anzhela Glushkova, Anastasia Y Starshinova, Natalia Doktorova, Dmitry Kudlay

Open access · goldAbstract read
In one paragraph

Article in Life (Basel, Switzerland), 2022. 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
0.2field-weighted citation impact, top 48% 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

8 authors at 5 institutions in 1 country.

Anna StarshinovaResearch Department, Almazov National Medical Research Centre, Ministry of Health of the Russian Federation, 197341 Saint-Petersburg, Russia.ORCID 0000-0002-9023-6986
Irina DovgalykSaint Petersburg Research Institute of Phthisiopulmonology, 191036 Saint-Petersburg, Russia.
Mikhail BeltukovSaint Petersburg Research Institute of Phthisiopulmonology, 191036 Saint-Petersburg, Russia.
Yulia ZinchenkoSaint Petersburg Research Institute of Phthisiopulmonology, 191036 Saint-Petersburg, Russia.ORCID 0000-0002-6273-4304
Anzhela GlushkovaV.M. Bekhterev National Research Medical Center for Psychiatry and Neurology, 192019 Saint-Petersburg, Russia.
Anastasia Y StarshinovaSaint Petersburg State Pediatric Medical University, 194100 Saint-Petersburg, Russia.
Natalia DoktorovaGSC "GENERIUM", 119991 Moscow, Russia.
Dmitry KudlayDepartment of Pharmacology, I.M. Sechenov First Moscow State Medical University, 119991 Moscow, Russia.ORCID 0000-0003-1878-4467
Federal Almazov North-West Medical Research Centre · RUSaint Petersburg State Electrotechnical University · RUSechenov University · RUSt.Petersburg V.M.Bekhterev Psychoneurological Research Institute · RUGenetika · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The measures taken against tuberculosis (TB) in recent years in the Russian Federation have been highly effective. Unfortunately, the COVID-19 pandemic may seriously undermine the progress that has been made in the fight against TB. The aim of this study was to assess changes in the epidemiological rates of tuberculosis in the Russian Federation before and after the COVID-19 pandemic. Materials and methods. The analysis was conducted by considering the main epidemiological indicators of tuberculosis, according to the federal statistics for the period from 2017 to 2021. The parameters were estimated according to the data received from 11 areas in the North-Western region. Statistical analysis was carried out using the free software computing environment R (v.3.5.1) and the commercial software package Statistical Package for the Social Sciences (SPSS Statistics for Windows, version 24.0, IBM Corp., 2016). Research results. We found a positive correlation between the incidence among the overall population and the incidence among children aged 0-17, inclusively (r = 0.55 in 2017, r = 0.60 in 2020, and r = 0.53 in 2021). Along with the received regularities, a different trend is shown in the data analysis of general incidence and health X-ray examination for tuberculosis among the general population. The correlation has decreased threefold from 2017 (r = 0.72) to 2020 (r = 0.32); this negative trend might be the result of factors such as the quality of X-ray screening examinations among the general population, and the reduced assessment objectivity of the tuberculosis incidence rate. Conclusions. In assessing the correlation between general incidence and incidence in children under 17 years of age, as well as between incidence and mortality in the Russian Federation, a positive correlation was found with an increasing trend. Such a discrepancy might be due to decreases in the occupational health examination coverage among the general population. Therefore, in the years ahead, we can expect epidemiological indicators to increase incidence and mortality, including child mortality, associated with the insufficient detection of tuberculosis among the population during the COVID-19 pandemic.

Indexed as

COVID-19 pandemicepidemiological indicatorsmorbiditymortalityTuberculosisX-ray examination

Identifiers

PMID36294903
PMCPMC9605375
OpenAlexW4297882795

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.