Evidence map›Paper›PMID 36366311›Full record

ArticleVaccines2022

Sputnik Light and Sputnik V Vaccination Is Effective at Protecting Medical Personnel from COVID-19 during the Period of Delta Variant Dominance.

Gennady T Sukhikh, Tatiana V Priputnevich, Darya A Ogarkova, Andrei A Pochtovyi, Daria D Kustova, Vladimir I Zlobin, Denis Y Logunov, Vladimir A Gushchin, Alexander L Gintsburg

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
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 4 institutions in 1 country.

Gennady T SukhikhKulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology of the Ministry of Health, 117997 Moscow, Russia.
Tatiana V PriputnevichKulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology of the Ministry of Health, 117997 Moscow, Russia.
Darya A OgarkovaFederal State Budget Institution "National Research Centre for Epidemiology and Microbiology Named after Honorary Academician N F Gamaleya" of the Ministry of Health of the Russian Federation, 123098 Moscow, Russia.ORCID 0000-0002-1152-4120
Andrei A PochtovyiFederal State Budget Institution "National Research Centre for Epidemiology and Microbiology Named after Honorary Academician N F Gamaleya" of the Ministry of Health of the Russian Federation, 123098 Moscow, Russia.ORCID 0000-0003-1107-9351
Daria D KustovaFederal State Budget Institution "National Research Centre for Epidemiology and Microbiology Named after Honorary Academician N F Gamaleya" of the Ministry of Health of the Russian Federation, 123098 Moscow, Russia.ORCID 0000-0002-8382-275X
Vladimir I ZlobinFederal State Budget Institution "National Research Centre for Epidemiology and Microbiology Named after Honorary Academician N F Gamaleya" of the Ministry of Health of the Russian Federation, 123098 Moscow, Russia.
Denis Y LogunovFederal State Budget Institution "National Research Centre for Epidemiology and Microbiology Named after Honorary Academician N F Gamaleya" of the Ministry of Health of the Russian Federation, 123098 Moscow, Russia.
Vladimir A GushchinFederal State Budget Institution "National Research Centre for Epidemiology and Microbiology Named after Honorary Academician N F Gamaleya" of the Ministry of Health of the Russian Federation, 123098 Moscow, Russia.ORCID 0000-0002-9397-3762
Alexander L GintsburgFederal State Budget Institution "National Research Centre for Epidemiology and Microbiology Named after Honorary Academician N F Gamaleya" of the Ministry of Health of the Russian Federation, 123098 Moscow, Russia.
Lomonosov Moscow State University · RUMinistry of Health of the Russian Federation · RUNational Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I.Kulakov of the Ministry of Healthcare of the Russian Federation · RUSechenov University · RU

Funding

Moscow City Health Department State assignment of 26.07.2021 No. 01-04-530
6 · The paper itself

Abstract

Medical personnel are a group of people that often encounter infectious agents, leading to greater risk of contracting infectious diseases. Specific prevention of diseases in this group is a priority. The epidemiological effectiveness of COVID-19 prevention in the group of medical workers due to the emergence of new variants of concern of the SARS-CoV-2 virus has not been studied in sufficient depth. We conducted a study of the effectiveness of vaccine use to protect medical workers at a large medical center for obstetrics and gynecology in Moscow. Sputnik V and Sputnik Light were the main vaccines used for the prevention of COVID-19. The vaccines are based on a variant of the S-protein of the SARS-CoV-2 virus, with adenovirus serotypes 5 and 26 as the vector for delivery. Vaccination of employees occurred during the period in which the Delta variant was spreading. The overall epidemiological effectiveness was 81.7% (73.1-87.6%) during the period in which the Delta variant was dominant. During the period from the beginning of vaccination (26 November 2020) until 8 February 2022, the overall effectiveness was 89.1% (86.9-91.0%). As expected, the highest effectiveness during this period was obtained in the group that received the third and fourth doses-96.5% (75.0-99.5%). The severity of COVID-19 in the vaccinated group was significantly lower than in the unvaccinated group.

Indexed as

COVID-19SARS-CoV-2Sputnik LightSputnik Vvaccine

Identifiers

PMID36366311
PMCPMC9696561
OpenAlexW4307546751

What Socratic 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 Socratic graph.