Evidence map›Paper›PMID 32702715›Full record

ArticleResearch square2020

Worldwide inverse correlation between Bacille Calmette-Guérin immunization and COVID-19 mortality.

Willis X Li

Abstract readPreprint
In one paragraph

Article in Research square, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Willis X LiUniversity of California San Diego.ORCID 0000-0001-9041-7341

Funding

Mechanism of heterochromatin regulation by STATR01GM131044 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LI, WILLIS X · 2018 to 2021
$1.3M
NIGMS NIH HHS R01 GM131044
6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has spread to all countries in the world after more than half a year since it was first reported in late 2019, and different countries have been impacted differently. Multivariate statistical analyses were used to evaluate COVID-19 deaths and cases relative to nine other demographic and socioeconomic factors in all countries and regions of the world using data as of August 1, 2020. The factors analyzed in the study include a country's total COVID-19 deaths and cases per million population, per capita gross domestic product (GDP), population density, virus tests per million population, median age, government response stringency index, hospital beds availability per thousand population, extreme poverty rate, Bacille Calmette-Guérin (BCG) vaccination rate, and diphtheria-tetanus-pertussis (DTP3) immunization rate. The study reveals that COVID-19 deaths per million population in a country most significantly correlates, inversely, with the country's BCG vaccination rate, and also significantly correlates a country's per capita GDP and median age, while COVID-19 cases per million population significantly correlate with per capita GDP and tests per thousand population. This study contributes to a growing body of evidence supporting the notion that BCG vaccination may be protective against COVID-19 mortality.

Indexed as

Bacille Calmette-Guérin (BCG)COVID-19SARS-CoV-2

Identifiers

PMID32702715
PMCPMC7373138

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.