Evidence map›Paper›PMID 34188521›Full record

ArticlePharmacogenomics and personalized medicine2021

A Two-Stage Study Identifies Two Novel Polymorphisms in

Di Xiao, Jun-Yan Liu, Si-Min Zhang, Rang-Ru Liu, Ji-Ye Yin, Xue-Yao Han, Xi Li, Wei Zhang, Xiao-Ping Chen, Hong-Hao Zhou and 2 more

Open access · goldAbstract read
In one paragraph

Article in Pharmacogenomics and personalized medicine, 2021. 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
0.4field-weighted citation impact, top 41% 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, 11 citations in OpenAlex.

  1. Article
  2. Temporal dysregulation ofResearch square · 2025
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  3. Biomedical reports · 2025
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  4. Review
  5. Review
  6. Article
  7. Single Nucleotide Polymorphism in the 3' Untranslated Region ofTherapeutics and clinical risk management · 2022
    Article
  8. 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

12 authors at 2 institutions in 1 country.

Di Xiao *Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, People's Republic of China.
Jun-Yan Liu *Department of orthopaedics, Xiangya Hospital, Central South University, Changsha, People's Republic of China.
Si-Min Zhang *Department of Endocrinology and Metabolism, The People's Hospital of Peking University, Beijing, People's Republic of China.
Rang-Ru LiuDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, People's Republic of China.
Ji-Ye YinDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, People's Republic of China.ORCID 0000-0002-1244-5045
Xue-Yao HanDepartment of Endocrinology and Metabolism, The People's Hospital of Peking University, Beijing, People's Republic of China.
Xi LiDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, People's Republic of China.
Wei ZhangDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, People's Republic of China.
Xiao-Ping ChenDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, People's Republic of China.
Hong-Hao ZhouDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, People's Republic of China.
Li-Nong JiDepartment of Endocrinology and Metabolism, The People's Hospital of Peking University, Beijing, People's Republic of China.
Zhao-Qian LiuDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, People's Republic of China.
Central South University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIndividual differences in glycemic response to metformin in antidiabetic treatment exist widely. Although some associated genetic variations have been discovered, they still cannot accurately predict metformin response. In the current study, we set out to investigate novel genetic variants affecting metformin response in Chinese type 2 diabetes (T2D) patients.

methodsA two-stage study enrolled 500 T2D patients who received metformin, glibenclamide or a combination of both were recruited from 2009 to 2012 in China. Change of HbA

resultsA total of 3739 SNPs were screened in Stage 1, of which 50 were associated with drug response. Except for one genetic variant preferred to affect glibenclamide, the remaining SNPs were subsequently verified in Stage 2, and two SNPs were successfully validated. These were

conclusionTwo variants rs2727528 and rs1105842 in

Indexed as

genetic variantsmetformin responsePRKAG2type 2 diabetes

Identifiers

PMID34188521
PMCPMC8236263
OpenAlexW3173746496

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.