Evidence map›Paper›PMID 26949260›Full record

ArticleThe British journal of nutrition2016

Urine phyto-oestrogen metabolites are not significantly associated with risk of type 2 diabetes: the Singapore Chinese health study.

Mohammad Talaei, Bee L Lee, Choon N Ong, Rob M van Dam, Jian M Yuan, Woon P Koh, An Pan

Open access · bronzeAbstract read
In one paragraph

Article in The British journal of nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.5field-weighted citation impact, top 12% 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, 27 citations in OpenAlex.

  1. Article
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  5. Lignan exposure: a worldwide perspective.European journal of nutrition · 2022
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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

7 authors at 6 institutions in 3 countries.

Mohammad Talaei1Saw Swee Hock School of Public Health,National University of Singapore and National University Health System,Singapore 117549,Singapore.
Bee L Lee1Saw Swee Hock School of Public Health,National University of Singapore and National University Health System,Singapore 117549,Singapore.
Choon N Ong1Saw Swee Hock School of Public Health,National University of Singapore and National University Health System,Singapore 117549,Singapore.
Rob M van Dam1Saw Swee Hock School of Public Health,National University of Singapore and National University Health System,Singapore 117549,Singapore.
Jian M Yuan4Division of Cancer Control and Population Sciences,University of Pittsburgh Cancer Institute,Pittsburgh,PA 15232,USA.
Woon P Koh6Duke-NUS Graduate Medical School,Singapore 169857,Singapore.
An Pan7Department of Epidemiology and Biostatistics,MOE Key Laboratory of Environment and Health,School of Public Health,Tongji Medical College,Huazhong University of Science and Technology,Wuhan,Hubei 430030,People's Republic of China.
National University Health System · SGDuke-NUS Medical School · SGHarvard University · USHuazhong University of Science and Technology · CNNational University of Singapore · SGUniversity of Pittsburgh · US

Funding

Prospective studies of cancer etiology and prevention in Shanghai and SingaporeR01CA144034 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2010 to 2014
$7.0M
Cancer epidemiology cohorts in Shanghai and Singapore UM1CA182876 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2014 to 2018
$4.3M
NCI NIH HHS R01 CA144034NCI NIH HHS UM1 CA182876
6 · The paper itself

Abstract

We evaluated the relationship between urine concentrations of phyto-oestrogens (isoflavones and lignans) and risk of incident type 2 diabetes in middle-aged and elderly Chinese residing in Singapore. Urine metabolites of isoflavones and lignans were assayed by HPLC among 564 diabetes cases and 564 matched controls in a case-control study nested within the Singapore Chinese Health Study cohort. Participants were free of diagnosed diabetes, CVD and cancer at morning urine collections during 1999-2004. Cases were participants who reported to have physician-diagnosed diabetes at follow-up visits during 2006-2010, whereas controls were randomly selected among those who remained free of diabetes and were matched to the index cases by age, sex, dialect group and date of urine collection. Conditional logistic regression models were used to calculate OR and 95 % CI with adjustment for potential confounders. The mean age of the participants at the time of urine collection was 59·8 years, and the average interval between urine collection and diabetes diagnosis was 4·0 years. The multivariate-adjusted OR for diabetes were 1·00 (reference), 0·76 (95 % CI 0·52, 1·11), 0·78 (95 % CI 0·53, 1·14) and 0·79 (95 % CI 0·54, 1·15) across quartiles of urine isoflavones (P for trend=0·54), and were 1·00 (reference), 0·87 (95 % CI 0·60, 1·27), 1·10 (95 % CI 0·77, 1·56) and 0·93 (95 % CI 0·63, 1·37) for lignans (P for trend=0·93). The results were similar in men and women, as well as for individual metabolites of isoflavones (genistein, daidzein, glycitin and equol) or lignans (enterodiol and enterolactone). The present study did not find a significant association between urine phyto-oestrogen metabolites and risk of type 2 diabetes in Chinese adults.

Indexed as

Diabetes Mellitus, Type 2Asian PeopleCase-Control StudiesEquolFemaleGenisteinHumansIsoflavonesLignansLogistic ModelsMaleMiddle AgedOdds RatioPhytoestrogensRisk FactorsSingaporedaidzeinEquolGenisteinglycitinIsoflavonesLignansPhytoestrogensCRP C-reactive proteinIncidenceIsoflavonesLignansNHS Nurse’s Health StudySCHS Singapore Chinese Health StudyT2D type 2 diabetesType 2 diabetesUrine metabolites

Identifiers

PMID26949260
PMCPMC5772653
OpenAlexW2323329689

What OpenQuestion holds

Textmetadata
LicenceTDM
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.