Evidence map›Paper›PMID 41170164›Full record

ReviewInfection and drug resistance2025

Genetic Risk of Different Populations in COVID-19 Susceptibility and Severity.

Ning Sun, Yinglong Lu, Conglin Li, Awei Jiang, Lei Liu, Jiubiao Guo

Abstract readReview
In one paragraph

Review in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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.

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 synthesis or guideline pooled it.

  1. Pooled it
  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

6 authors.

Ning Sun *Guangzhou Cadre and Talent Health Management Center, Guangzhou 11th People's Hospital, Guangzhou, People's Republic of China.ORCID 0000-0003-3500-9163
Yinglong Lu *Clinical Research Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, People's Republic of China.
Conglin LiGuangzhou Cadre and Talent Health Management Center, Guangzhou 11th People's Hospital, Guangzhou, People's Republic of China.
Awei JiangClinical Research Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, People's Republic of China.
Lei LiuDepartment of Infectious Diseases, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, People's Republic of China.
Jiubiao GuoClinical Research Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has created challenges by threatening public health and triggering the largest global economic crisis in recent history. While environmental factors and social activities influence the clinical outcome of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure and COVID-19 severity, the host genetic background and variants are increasingly recognized as vital players in individual susceptibility to SARS-CoV-2 infection, ranging from asymptomatic infection to lethal COVID-19. A plethora of genome-wide association meta-analyses have been provided and will continue to provide genetic determinants of the heterogeneity of COVID-19 outcomes. Such discoveries undoubtedly deepen our understanding of the biological underpinnings of SARS-CoV-2 infection and COVID-19 disease, paving the way for the development of more efficient SARS-CoV-2 prevention strategies and drug repurposing. Here, we provide a brief overview of studies regarding host susceptibility to COVID-19 and its clinical outcomes, focusing on the identification of genome-wide significant loci from different ancestral populations.

Indexed as

COVID-19genetic riskpopulationsSARS-CoV-2severitysusceptibility

Identifiers

PMID41170164
PMCPMC12570997

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.