Evidence map›Paper›PMID 34155259›Full record

ArticleScientific reports2021

Seroprevalence of SARS-CoV-2 antibodies in Saint Petersburg, Russia: a population-based study.

Anton Barchuk, Dmitriy Skougarevskiy, Kirill Titaev, Daniil Shirokov, Yulia Raskina, Anastasia Novkunkskaya, Petr Talantov, Artur Isaev, Ekaterina Pomerantseva, Svetlana Zhikrivetskaya and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04406038 (A Population-Based Seroprevalence of SARS-CoV-2-Specific Antibodies Among Adults in Saint Petersburg, Russia), which is not on this map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–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.

NCT04406038 completednot on this map

A Population-Based Seroprevalence of SARS-CoV-2-Specific Antibodies Among Adults in Saint Petersburg, Russia: Longitudinal Cohort Study

TypeobservationalSponsorEuropean University at St. PetersburgRan2020 to 2023Enrolled1,038ConditionsCOVID19
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

12 authors.

Anton BarchukInstitute for Interdisciplinary Health Research, European University at St. Petersburg, Shpalernaya Ulitsa, 1, St. Petersburg, Russia, 191187. abarchuk@eu.spb.ru.
Dmitriy SkougarevskiyInstitute for Interdisciplinary Health Research, European University at St. Petersburg, Shpalernaya Ulitsa, 1, St. Petersburg, Russia, 191187.
Kirill TitaevInstitute for Interdisciplinary Health Research, European University at St. Petersburg, Shpalernaya Ulitsa, 1, St. Petersburg, Russia, 191187.
Daniil ShirokovClinic "Scandinavia" (LLC Ava-Peter), Ilyushina Ulitsa, 4-1, St. Petersburg, Russia, 197372.
Yulia RaskinaInstitute for Interdisciplinary Health Research, European University at St. Petersburg, Shpalernaya Ulitsa, 1, St. Petersburg, Russia, 191187.
Anastasia NovkunkskayaInstitute for Interdisciplinary Health Research, European University at St. Petersburg, Shpalernaya Ulitsa, 1, St. Petersburg, Russia, 191187.
Petr TalantovThe Russian Academy of Sciences Commission for Counteracting the Falsification of Scientific Research, Leingradsky Prospekt, 14, Moscow, Russia, 119991.
Artur IsaevHuman Stem Cells Institute, Ulitsa Gubkina, 3-2, Moscow, Russia, 119333.
Ekaterina PomerantsevaCenter of Genetics and Reproductive Medicine GENETICO LLC, Ulitsa Gubkina, 3-1, Moscow, Russia, 119333.
Svetlana ZhikrivetskayaCenter of Genetics and Reproductive Medicine GENETICO LLC, Ulitsa Gubkina, 3-1, Moscow, Russia, 119333.
Lubov BarabanovaClinic "Scandinavia" (LLC Ava-Peter), Ilyushina Ulitsa, 4-1, St. Petersburg, Russia, 197372.
Vadim VolkovInstitute for Interdisciplinary Health Research, European University at St. Petersburg, Shpalernaya Ulitsa, 1, St. Petersburg, Russia, 191187.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Properly conducted serological survey can help determine infection disease true spread. This study aims to estimate the seroprevalence of SARS-CoV-2 antibodies in Saint Petersburg, Russia accounting for non-response bias. A sample of adults was recruited with random digit dialling, interviewed and invited for anti-SARS-CoV-2 antibodies. The seroprevalence was corrected with the aid of the bivariate probit model that jointly estimated individual propensity to agree to participate in the survey and seropositivity. 66,250 individuals were contacted, 6,440 adults agreed to be interviewed and blood samples were obtained from 1,038 participants between May 27 and June 26, 2020. Naïve seroprevalence corrected for test characteristics was 9.0% (7.2-10.8) by CMIA and 10.5% (8.6-12.4) by ELISA. Correction for non-response decreased estimates to 7.4% (5.7-9.2) and 9.1% (7.2-10.9) for CMIA and ELISA, respectively. The most pronounced decrease in bias-corrected seroprevalence was attributed to the history of any illnesses in the past 3 months and COVID-19 testing. Seroconversion was negatively associated with smoking status, self-reported history of allergies and changes in hand-washing habits. These results suggest that even low estimates of seroprevalence can be an overestimation. Serosurvey design should attempt to identify characteristics that are associated both with participation and seropositivity.

Indexed as

PandemicsAdolescentAdultAgedAntibodies, ViralCOVID-19COVID-19 Serological TestingCross-Sectional StudiesEnzyme-Linked Immunosorbent AssayFemaleHumansImmunoglobulin GLongitudinal StudiesLuminescent MeasurementsMaleMiddle AgedAntibodies, ViralImmunoglobulin G

Identifiers

PMID34155259
PMCPMC8217236

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Registered trials

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.