Evidence map›Paper›PMID 22300541›Full record

ArticleGenetic testing and molecular biomarkers2012

Haptoglobin 2-2 genotype is associated with increased risk of type 2 diabetes mellitus in northern Chinese.

Xiaohong Shi, Liang Sun, Li Wang, Feng Jin, Junfeng Sun, Xiaoquan Zhu, Lei Tang, Yanchun Qu, Ze Yang

Abstract read
In one paragraph

Article in Genetic testing and molecular biomarkers, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

12 citing papers in PubMed, 24 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

9 authors at 3 institutions in 1 country.

Xiaohong ShiKey Laboratory of Geriatrics, Institute of Geriatrics, Beijing Hospital, Ministry of Health, Beijing, China.
Liang Sun
Li Wang
Feng Jin
Junfeng Sun
Xiaoquan Zhu
Lei Tang
Yanchun Qu
Ze Yang
Beijing Hospital · CNChinese Academy of Sciences · CNSecond Hospital of Tianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to investigate the association between haptoglobin (Hp) gene polymorphism and occurrence of type 2 diabetes mellitus (T2DM) in a northern Chinese population. We studied the association of the Hp gene polymorphism with T2DM in 584 unrelated T2DM patients and 690 control subjects with normal glucose tolerance among northern Chinese. The patients were diagnosed in accordance with the guidelines of the American Diabetes Association. The clinical characteristics of the study population were recorded, and the Hp genotype was determined. The frequencies of the genotypes in the group of T2DM patients and the controls were as follows: Hp2-2, 51.7% and 44.1%; Hp2-1, 39.7% and 45.1%; and Hp1-1, 8.6% and 10.9%, respectively. There was significant difference for the genotypic and allelic distribution between the two groups (p=0.021 and p=0.007, respectively). Even after readjusting for the confounding effects of age, gender, and body mass index, a significant effect of genotypes on T2DM was still found in the recessive model for the Hp2 allele tested (p=0.002). Those who had the Hp2-2 genotype had a significantly higher risk for T2DM than those with other genotypes (odds ratio=1.441, 95% confidence interval=1.143-1.817). The results showed that the Hp2-2 genotype is associated with increased risk of T2DM in the northern Chinese Han population.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAgedAsian PeopleDiabetes Mellitus, Type 2FemaleGene FrequencyGenotypeHaptoglobinsHumansMaleMiddle AgedRiskHaptoglobinsHP protein, human

Identifiers

PMID22300541
PMCPMC3378027
OpenAlexW2035668758

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Registered trials

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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.