Evidence map›Paper›PMID 38605907›Full record

ArticlePhenomics (Cham, Switzerland)2024

Allergic Phenotypes and Sarcopenia: Evidence from Observational Studies and Mendelian Randomization Analysis.

Zhenwei Tang, Guowei Zhou, Yi Xiao, Hong Liu, Xiang Chen, Minxue Shen

Open access · greenAbstract read
In one paragraph

Article in Phenomics (Cham, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

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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

6 authors at 1 institution in 2 countries.

Zhenwei TangDepartment of Dermatology, Xiangya Hospital, Central South University, 110 Xiangya Road, Changsha, 410008 Hunan China.ORCID 0000-0002-7692-3501
Guowei ZhouDepartment of Dermatology, Xiangya Hospital, Central South University, 110 Xiangya Road, Changsha, 410008 Hunan China.ORCID 0000-0001-8490-4661
Yi XiaoDepartment of Dermatology, Xiangya Hospital, Central South University, 110 Xiangya Road, Changsha, 410008 Hunan China.ORCID 0000-0002-5124-8378
Hong LiuDepartment of Dermatology, Xiangya Hospital, Central South University, 110 Xiangya Road, Changsha, 410008 Hunan China.ORCID 0000-0001-9976-2985
Xiang ChenDepartment of Dermatology, Xiangya Hospital, Central South University, 110 Xiangya Road, Changsha, 410008 Hunan China.ORCID 0000-0001-8187-636X
Minxue ShenDepartment of Dermatology, Xiangya Hospital, Central South University, 110 Xiangya Road, Changsha, 410008 Hunan China.ORCID 0000-0003-0441-9303
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Commonly affected in early-life population, the impact of allergic phenotypes on mid- or late-life health is less discussed. This study is to explore the association of allergic phenotypes including atopic dermatitis (AD), asthma, eosinophils count (EC), and sarcopenia. We conducted observational studies and mendelian randomization (MR) analysis based on UK Biobank (UKB), the China Health and Retirement Longitudinal Study (CHARLS) and data from genome-wide association study (GWAS). Based on the UKB data, AD, asthma and EC were positively correlated with pre-sarcopenia and decreased skeletal muscle mass index and hand grip in fully adjusted model. Asthma and EC were significantly associated with sarcopenia while AD was marginally associated ( Supplementary Information: The online version contains supplementary material available at 10.1007/s43657-023-00110-4.

Indexed as

AgingAsthmaAtopic dermatitisEosinophilsSarcopenia

Identifiers

PMID38605907
PMCPMC11003931
OpenAlexW4386028888

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.