Evidence map›Paper›PMID 29459470›Full record

Trial reportCirculation2018

Metabolic Predictors of Incident Coronary Heart Disease in Women.

Nina P Paynter, Raji Balasubramanian, Franco Giulianini, Dong D Wang, Lesley F Tinker, Shuba Gopal, Amy A Deik, Kevin Bullock, Kerry A Pierce, Justin Scott and 7 more

Open access · bronzeAbstract readClinical TrialMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Circulation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 181 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
181citing papers in PubMed, 4 pooled it
10.0field-weighted citation impact, top 1% 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

181 citing papers in PubMed, 4 syntheses or guidelines pooled it, 250 citations in OpenAlex.

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121 more citing papers are in PubMed but not listed here.

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

17 authors at 7 institutions in 2 countries.

Nina P PaynterDivision of Preventive Medicine (N.P.P., F.G., J.E.M., N.R.C., C.M.A., K.M.R.) npaynter@partners.org.
Raji BalasubramanianDepartment of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst (R.B.).
Franco GiulianiniDivision of Preventive Medicine (N.P.P., F.G., J.E.M., N.R.C., C.M.A., K.M.R.).
Dong D WangDepartment of Epidemiology (D.D.W., J.E.M., N.R.C.).
Lesley F TinkerFred Hutchinson Cancer Research Center, Seattle, WA (L.F.T.).
Shuba GopalBroad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA (S.G., A.A.D., K.B., K.A.P., J.S., C.B.C.).
Amy A DeikBroad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA (S.G., A.A.D., K.B., K.A.P., J.S., C.B.C.).
Kevin BullockBroad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA (S.G., A.A.D., K.B., K.A.P., J.S., C.B.C.).
Kerry A PierceBroad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA (S.G., A.A.D., K.B., K.A.P., J.S., C.B.C.).
Justin ScottBroad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA (S.G., A.A.D., K.B., K.A.P., J.S., C.B.C.).
Miguel A Martínez-GonzálezDepartment of Nutrition (D.D.W., M.A.M.-G.), Harvard T.H. Chan School of Public Health, Boston, MA.
Ramon EstruchDepartment of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer, Hospital Clínic, University of Barcelona, Spain (R.E.).
JoAnn E MansonDivision of Preventive Medicine (N.P.P., F.G., J.E.M., N.R.C., C.M.A., K.M.R.).
Nancy R CookDivision of Preventive Medicine (N.P.P., F.G., J.E.M., N.R.C., C.M.A., K.M.R.).
Christine M AlbertDivision of Preventive Medicine (N.P.P., F.G., J.E.M., N.R.C., C.M.A., K.M.R.).
Clary B ClishBroad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA (S.G., A.A.D., K.B., K.A.P., J.S., C.B.C.).
Kathryn M RexrodeDivision of Preventive Medicine (N.P.P., F.G., J.E.M., N.R.C., C.M.A., K.M.R.).
Harvard University · USUnited States Nuclear Regulatory Commission · USBrigham and Women's Hospital · USBroad Institute · USFred Hutch Cancer Center · USMassachusetts Institute of Technology · USUniversity of Massachusetts Amherst · US

Funding

ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Elizabeth Austen Lawson, Takara Leah Stanley · 1994 to 2026
$31.6M
PRE-DETERMINE: Biologic Markers and MRI SCD Cohort StudyR01HL091069 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI ALBERT, CHRISTINE M · 2008 to 2020
$12.9M
NHLBI NIH HHS HHSN268201300008CNHLBI NIH HHS HHSN268201600001CNHLBI NIH HHS HHSN268201600002CNHLBI NIH HHS HHSN268201600003CNHLBI NIH HHS HHSN268201600004CNHLBI NIH HHS HHSN268201600018CNHLBI NIH HHS R01 HL091069NIDDK NIH HHS P30 DK040561
6 · The paper itself

Abstract

backgroundAlthough metabolomic profiling offers promise for the prediction of coronary heart disease (CHD), and metabolic risk factors are more strongly associated with CHD in women than men, limited data are available for women.

methodsWe applied a liquid chromatography-tandem mass spectrometry metabolomics platform to measure 371 metabolites in a discovery set of postmenopausal women (472 incident CHD cases, 472 controls) with validation in an independent set of postmenopausal women (312 incident CHD cases, 315 controls).

resultsEight metabolites, primarily oxidized lipids, were significantly dysregulated in cases after the adjustment for matching and CHD risk factors in both the discovery and validation data sets. One oxidized phospholipid, C34:2 hydroxy-phosphatidylcholine, remained associated with CHD after further adjustment for other validated metabolites. Subjects with C34:2 hydroxy-phosphatidylcholine levels in the highest quartile had a 4.7-fold increase in CHD odds in comparison with the lowest quartile; C34:2 hydroxy-phosphatidylcholine also significantly improved the area under the curve (

conclusionsThese data replicate known metabolite predictors, identify novel markers, and support the relationship between lipid oxidation and subsequent CHD.

Indexed as

MetabolomicsAgedChromatography, LiquidCoronary DiseaseFemaleHumansIncidenceMiddle AgedPhosphatidylcholinesPredictive Value of TestsRisk FactorsTandem Mass SpectrometryPhosphatidylcholinescoronary diseaselipidsmetabolomicsriskwomen

Identifiers

PMID29459470
PMCPMC5854187
OpenAlexW2793503965

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.