Evidence map›Paper›PMID 36168322›Full record

ArticlePharmacogenomics and personalized medicine2022

Association of

Lihong Zhang, Jingjing Tang, Yindi Wang, Xiang Wang, Fang Wang

Abstract read
In one paragraph

Article in Pharmacogenomics and personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Lihong ZhangDepartment of Endocrinology, Xi'an Central Hospital Affiliated to Xi'an Jiaotong University, Xi'an, 710003, People's Republic of China.
Jingjing TangDepartment of Endocrinology, Xi'an Central Hospital Affiliated to Xi'an Jiaotong University, Xi'an, 710003, People's Republic of China.
Yindi WangDepartment of Endocrinology, Xi'an Central Hospital Affiliated to Xi'an Jiaotong University, Xi'an, 710003, People's Republic of China.
Xiang WangDepartment of Endocrinology, Xi'an Central Hospital Affiliated to Xi'an Jiaotong University, Xi'an, 710003, People's Republic of China.
Fang WangDepartment of Endocrinology, Xi'an Central Hospital Affiliated to Xi'an Jiaotong University, Xi'an, 710003, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Type 2 diabetes mellitus (T2DM) is caused by diverse environmental and genetic risk factors. Previous studies have reported that cytochrome P450 ( Methods: A case-control study was conducted to assess the potential relationship of four polymorphisms (rs8192879, rs12542233, rs2070672 and rs2515641) with T2DM susceptibility in the Chinese population, involving 512 T2DM patients and 515 age- and gender-matched healthy individuals. We used the Agena MassARRAY platform to detect Results: After adjusting for age and gender, rs12542233 in the Conclusion:

Indexed as

case-control studyCYP2E1CYP7A1diabetes mellitusgene polymorphismstype 2

Identifiers

PMID36168322
PMCPMC9509678

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.