Evidence map›Paper›PMID 35321340›Full record

ArticleFrontiers in endocrinology2022

Analysis of

Wen-Ling Liao, Ting-Yuan Liu, Chi-Fung Cheng, Yu-Pao Chou, Tzu-Yuan Wang, Ya-Wen Chang, Shih-Yin Chen, Fuu-Jen Tsai

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
5.6field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 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

8 authors at 2 institutions in 1 country.

Wen-Ling LiaoGraduate Institute of Integrated Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan.
Ting-Yuan LiuCenter for Precision Medicine, China Medical University Hospital, Taichung, Taiwan.
Chi-Fung ChengGenetic Center, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.
Yu-Pao ChouCenter for Precision Medicine, China Medical University Hospital, Taichung, Taiwan.
Tzu-Yuan WangDivision of Endocrine and Metabolism, China Medical University Hospital, Taichung, Taiwan.
Ya-Wen ChangGraduate Institute of Integrated Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan.
Shih-Yin ChenGenetic Center, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.
Fuu-Jen TsaiGenetic Center, Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.
China Medical University Hospital · TWChina Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperthyroidism is a prevalent endocrine disorder, and genetics play a major role in the development of thyroid-associated diseases. In particular, the inheritance of HLA has been demonstrated to induce the highest susceptibility to Graves' disease (GD). However, thus far, no studies have reported the contribution of HLA to the development of GD and the complications that follow. Thus, in the present study, to the best of our knowledge, for the first time, a powerful imputation method, HIBAG, was used to predict the HLA subtypes among populations with available genome-wide SNP array data from the China Medical University Hospital (CMUH). The disease status was extracted from the CMUH electronic medical records; a total of 2,998 subjects with GD were identified as the cases to be tested and 29,083 subjects without any diagnosis of thyroid disorders were randomly selected as the controls. A total of 12 HLA class I genotypes (

Indexed as

Graves DiseaseHeart DiseasesHypertensionAllelesElectronic Health RecordsElectronicsHLA-A AntigensHLA-B AntigensHumansHLA-A AntigensHLA-B Antigenselectronic medical record (EMR)genome-wide association study (GWAS)Graves’ disease (GD)human leukocyte antigen (HLA)phenome-wide association studies (PheWAS)

Identifiers

PMID35321340
PMCPMC8936090
OpenAlexW4220714819

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.