Evidence map›Paper›PMID 22688542›Full record

ArticleDiabetes care2012

Genetic risk score constructed using 14 susceptibility alleles for type 2 diabetes is associated with the early onset of diabetes and may predict the future requirement of insulin injections among Japanese individuals.

Minoru Iwata, Shiro Maeda, Yutaka Kamura, Atsuko Takano, Hiromi Kato, Shihou Murakami, Kiyohiro Higuchi, Atsushi Takahashi, Hayato Fujita, Kazuo Hara and 2 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Diabetes care, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02491333 (The Effect of Acupuncture on Insulin Sensitivity of Women With Polycystic Ovary Syndrome and Insulin Resistance), which is not on this map. Cited by 54 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 8 pooled it
7.7field-weighted citation impact, top 2% 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.

NCT02491333 phase3completedstarted 2015, after this paper: background citation

The Effect of Acupuncture on Insulin Sensitivity of Women With Polycystic Ovary Syndrome and Insulin Resistance: a Randomized Controlled Trial

Ran2015Enrolled342Registered outcomes12Posted comparisons0ConditionsInsulin Resistance, Polycystic Ovary SyndromeArmsMetformin, placebo metformin, sham acupuncture, true acupuncture
Open the trial in the graph
3 · Its place in the literature

Who cites it

54 citing papers in PubMed, 8 syntheses or guidelines pooled it, 106 citations in OpenAlex.

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  4. Associations ofJournal of diabetes research · 2020
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  7. Association between SLC30A8 rs13266634 Polymorphism and Type 2 Diabetes Risk: A Meta-Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2015
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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

12 authors at 6 institutions in 1 country.

Minoru IwataFirst Department of Internal Medicine, Faculty of Medicine, Toyama University, Toyama, Japan. iwamino-tym@umin.ac.jp
Shiro Maeda
Yutaka Kamura
Atsuko Takano
Hiromi Kato
Shihou Murakami
Kiyohiro Higuchi
Atsushi Takahashi
Hayato Fujita
Kazuo Hara
Takashi Kadowaki
Kazuyuki Tobe
The University of Tokyo · JPUniversity of Toyama · JPRIKEN Center for Integrative Medical Sciences · JPKouseiren Takaoka Hospital · JPSaiseikai Takaoka Hospital · JPToyama Rosai Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe evaluated the clinical usefulness of a genetic risk score (GRS) based on 14 well-established variants for type 2 diabetes. RESEARCH DESIGN AND

methodsWe analyzed 14 SNPs at HHEX, CDKAL1, CDKN2B, SLC30A8, KCNJ11, IGF2BP2, PPARG, TCF7L2, FTO, KCNQ1, IRS-1, GCKR, UBE2E2, and C2CD4A/B in 1,487 Japanese individuals (724 patients with type 2 diabetes and 763 control subjects). A GRS was calculated according to the number of risk alleles by counting all 14 SNPs (T-GRS) as well as 11 SNPs related to β-cell function (β-GRS) and then assessing the association between each GRS and the clinical features.

resultsAmong the 14 SNPs, 4 SNPs were significantly associated with type 2 diabetes in the present Japanese sample (P < 0.0036). The T-GRS was significantly associated with type 2 diabetes (P = 5.9 × 10(-21)). Among the subjects with type 2 diabetes, the β-GRS was associated with individuals receiving insulin therapy (β = 0.0131, SE = 0.006, P = 0.0431), age at diagnosis (β = -0.608, SE = 0.204, P = 0.0029), fasting serum C-peptide level (β = -0.032, SE = 0.0140, P = 0.022), and C-peptide index (β = -0.031, SE = 0.012, P = 0.0125).

conclusionsOur data suggest that the β-GRS is associated with reduced β-cell functions and may be useful for selecting patients who should receive more aggressive β-cell-preserving therapy.

Indexed as

Adaptor Proteins, Signal TransducingAgedAge of OnsetAllelesAlpha-Ketoglutarate-Dependent Dioxygenase FTOAsian PeopleCation Transport ProteinsCyclin-Dependent Kinase 5Cyclin-Dependent Kinase Inhibitor p15Diabetes Mellitus, Type 2FemaleGenetic Predisposition to DiseaseHomeodomain ProteinsHumansInsulinInsulin Receptor Substrate ProteinsAdaptor Proteins, Signal TransducingAlpha-Ketoglutarate-Dependent Dioxygenase FTOCation Transport ProteinsCDKAL1 protein, humanCDKN2B protein, humanCyclin-Dependent Kinase 5Cyclin-Dependent Kinase Inhibitor p15FTO protein, humanGCKR protein, humanHHEX protein, humanHomeodomain ProteinsInsulinInsulin Receptor Substrate ProteinsIRS1 protein, humanKcnj11 ChannelKCNQ1 Potassium ChannelPotassium Channels, Inwardly RectifyingPPAR gammaProteinsSLC30A8 protein, humanTranscription Factor 7-Like 2 ProteinTranscription FactorstRNA MethyltransferasesUBE2E2 protein, humanUbiquitin-Conjugating EnzymesZinc Transporter 8

Identifiers

PMID22688542
PMCPMC3402252
OpenAlexW2143260359

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.