Evidence map›Paper›PMID 37234804›Full record

ArticleFrontiers in endocrinology2023

COVID-19 and sarcopenia-related traits: a bidirectional Mendelian randomization study.

Chao Liu, Ningyuan Liu, Yi Zeng, Bo Xiao, Pingxiao Wang, Chuqiao Zhou, Yu Xia, Ziyue Zhao, Tao Xiao, Hui Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. 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
2.4field-weighted citation impact, top 11% 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, 9 citations in OpenAlex.

  1. Trial
  2. Observational
  3. Article
  4. 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

10 authors at 2 institutions in 1 country.

Chao LiuDepartment of Orthopedics, the Second Xiangya Hospital of Central South University, Changsha, China.
Ningyuan LiuDepartment of Orthopedics, the Second Xiangya Hospital of Central South University, Changsha, China.
Yi ZengDepartment of Orthopedics, the Second Xiangya Hospital of Central South University, Changsha, China.
Bo XiaoDepartment of Orthopedics, the Second Xiangya Hospital of Central South University, Changsha, China.
Pingxiao WangDepartment of Orthopedics, the Second Xiangya Hospital of Central South University, Changsha, China.
Chuqiao ZhouDepartment of Orthopedics, the Second Xiangya Hospital of Central South University, Changsha, China.
Yu XiaDepartment of Orthopedics, the Second Xiangya Hospital of Central South University, Changsha, China.
Ziyue ZhaoDepartment of Orthopedics, the Second Xiangya Hospital of Central South University, Changsha, China.
Tao XiaoDepartment of Orthopedics, the Second Xiangya Hospital of Central South University, Changsha, China.
Hui LiDepartment of Orthopedics, the Second Xiangya Hospital of Central South University, Changsha, China.
Central South University · CNSecond Xiangya Hospital of Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Emerging evidence suggested that coronavirus disease 2019 (COVID-19) patients were more prone to acute skeletal muscle loss and suffer sequelae, including weakness, arthromyalgia, depression and anxiety. Meanwhile, it was observed that sarcopenia (SP) was associated with susceptibility, hospitalization and severity of COVID-19. However, it is not known whether there is causal relationship between COVID-19 and SP-related traits. Mendelian randomization (MR) was a valid method for inferring causality. Methods: Data was extracted from the COVID-19 Host Genetic Initiative and the UK Biobank without sample overlapping. The MR analysis was performed with inverse variance weighted, weighted median, MR-Egger, RAPS and CAUSE, MR-APSS. Sensitivity analysis was conducted with MR-Egger intercept test, Cochran's Q test, MR-PRESSO to eliminate pleiotropy. Results: There was insufficient result in the MR-APSS method to support a direct causal relationship after the Bonferroni correction. Most other MR results were also nominally consistent with the MR-APSS result. Conclusions: Our study first explored the causal relationship between COVID-19 and SP-related traits, but the result indicated that they may indirectly interact with each other. We highlighted that older people had better absorb enough nutrition and strengthen exercise to directly cope with SP during the COVID-19 pandemic.

Indexed as

COVID-19SarcopeniaAgedHumansMendelian Randomization AnalysisMuscle, SkeletalPandemicsagingCOVID-19long COVID-19mendelian randomizationsarcopenia

Identifiers

PMID37234804
PMCPMC10206246
OpenAlexW4378515483

What OpenQuestion holds

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LicenceCC BY
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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.