Evidence map›Paper›PMID 35322423›Full record

ArticleJournal of medical virology2022

Mendelian randomization study on the causal effects of COVID-19 on childhood intelligence.

Gaizhi Zhu, Shan Zhou, Yaqi Xu, Ran Gao, Huan Li, Wenting Su, Gencheng Han, Renxi Wang

Open access · greenAbstract read
In one paragraph

Article in Journal of medical virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 4% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
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  9. Causal associations and genetic overlap between COVID-19 and intelligence.QJM : monthly journal of the Association of Physicians · 2023
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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

8 authors at 2 institutions in 1 country.

Gaizhi ZhuBeijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.
Shan ZhouBeijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.
Yaqi XuBeijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.
Ran GaoBeijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.
Huan LiBeijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.
Wenting SuBeijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.
Gencheng HanBeijing Institute of Basic Medical Sciences, Beijing, China.
Renxi WangBeijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.ORCID 0000-0003-4130-3334
Capital Medical University · CNBeijing Institute of Education · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although individuals with coronavirus disease 2019 (COVID-19) are known to be at increased risk for other conditions resulting from pathogenic changes (including metaplastic or anaplastic) in the lungs and other organs and organ systems, it is still unknown whether COVID-19 affects childhood intelligence. The present two-sample Mendelian randomization study aims to identify the genetic causal link between COVID-19 and childhood intelligence. Four COVID-19 genetic instrumental variants (IVs) were chosen from the largest genome-wide association studies (GWAS) for COVID-19 (hospitalized vs. population) (6406 cases and 902 088 controls of European ancestry). The largest childhood intelligence GWAS (n = 12 441 individuals of European ancestry) was used to evaluate the effect of the identified COVID-19-associated genetic IVs on childhood intelligence. We found that as the genetic susceptibility to COVID-19 increased, childhood intelligence followed a decreasing trend, according to mr_egger (β = -0.156; p = 0.601; odds ratio [OR] = 0.856; 95% confidence interval [CI]: 0.522-1.405), simple mode (β = -0.126; p = 0.240; OR = 0.882; 95% CI: 0.745-1.044), and weighted mode (β = -0.121; p = 0.226; OR = 0.886; 95% CI: 0.758-1.036) analyses. This trend was further demonstrated by the weighted median (β = -0.134; p = 0.031; OR = 0.875; 95% CI: 0.774-0.988) and the inverse variance weighted (β = -0.152; p = 0.004; OR = 0.859; 95% CI: 0.776-0.952). Our analysis suggests a causal link between genetically increased COVID-19 and decreased childhood intelligence. Thus, COVID-19 may be a risk factor for declines in childhood intelligence.

Indexed as

COVID-19Genetic Predisposition to DiseaseGenome-Wide Association StudyHumansIntelligenceMendelian Randomization AnalysisPolymorphism, Single Nucleotidechildhood intelligenceCOVID-19 pandemicgenetic variantsgenome-wide association studyMendelian randomization

Identifiers

PMID35322423
PMCPMC9088592
OpenAlexW4220909168

What OpenQuestion holds

Textmetadata
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.