Evidence map›Paper›PMID 24668104›Full record

ArticleJAMA2014

Glycated hemoglobin measurement and prediction of cardiovascular disease.

Emerging Risk Factors Collaboration, Emanuele Di Angelantonio, Pei Gao, Hassan Khan, Adam S Butterworth, David Wormser, Stephen Kaptoge, Sreenivasa Rao Kondapally Seshasai, Alex Thompson, Nadeem Sarwar and 66 more

Abstract read
In one paragraph

Article in JAMA, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed, 8 pooled it
–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

108 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Atencion primaria · 2018
    Guideline
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48 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

76 authors.

Emerging Risk Factors Collaboration
Emanuele Di AngelantonioUniversity of Cambridge, Cambridge, United Kingdom.
Pei GaoUniversity of Cambridge, Cambridge, United Kingdom.
Hassan KhanUniversity of Cambridge, Cambridge, United Kingdom.
Adam S ButterworthUniversity of Cambridge, Cambridge, United Kingdom.
David WormserUniversity of Cambridge, Cambridge, United Kingdom.
Stephen KaptogeUniversity of Cambridge, Cambridge, United Kingdom.
Sreenivasa Rao Kondapally SeshasaiSt George's University of London, London, United Kingdom.
Alex ThompsonUniversity of Cambridge, Cambridge, United Kingdom.
Nadeem SarwarUniversity of Cambridge, Cambridge, United Kingdom.
Peter WilleitUniversity of Cambridge, Cambridge, United Kingdom.
Paul M RidkerBrigham and Women's Hospital, Boston, Massachusetts.
Elizabeth L M BarrBaker IDI Heart and Diabetes Institute, Victoria, Australia.
Kay-Tee KhawUniversity of Cambridge, Cambridge, United Kingdom.
Bruce M PsatyUniversity of Washington, Seattle6Group Health Research Institute, Seattle, Washington.
Hermann BrennerGerman Cancer Research Center, Heidelberg, Germany.
Beverley BalkauInserm, Villejuif, France9University Paris-Sud, Villejuif, France.
Jacqueline M DekkerVrije Universiteit Medical Center, Amsterdam, the Netherlands.
Debbie A LawlorUniversity of Bristol, Bristol, United Kingdom.
Makoto DaimonYamagata University, Japan.
Johann WilleitMedical University Innsbruck, Austria.
Inger NjølstadUniversity of Tromsø, Tromsø, Norway.
Aulikki NissinenNational Institute of Health and Welfare, Helsinki, Finland.
Eric J BrunnerUniversity College London, London, United Kingdom.
Lewis H KullerUniversity of Pittsburgh.
Jackie F PriceUniversity of Edinburgh, Edinburgh, United Kingdom.
Johan SundströmUppsala University, Uppsala, Sweden.
Matthew W KnuimanUniversity of Western Australia, Perth, Australia.
Edith J M FeskensWageningen University, Wageningen, the Netherlands.
W M M VerschurenNational Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
Nicholas WaldWolfson Institute of Preventive Medicine, London, United Kingdom.
Stephan J L BakkerUniversity of Groningen, University Medical Center Groningen, the Netherlands.
Peter H WhincupSt George's University of London, London, United Kingdom.
Ian FordUniversity of Glasgow, Glasgow, United Kingdom.
Uri GoldbourtSheba Medical Center, Tel Hashomer, Israel.
Agustín Gómez-de-la-CámaraHospital 12 de Octubre, Madrid, Spain.
John GallacherCardiff University, Cardiff, United Kingdom.
Leon A SimonsUniversity of New South Wales, Kensington, Australia.
Annika RosengrenSahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Susan E SutherlandMedical University of South Carolina, Charleston.
Cecilia BjörkelundUniversity of Gothenburg, Gothenburg, Sweden.
Dan G BlazerDuke University Medical Center, Durham, North Carolina.
Sylvia Wassertheil-SmollerAlbert Einstein College of Medicine, New York, New York.
Altan OnatUniversity of Istanbul, Istanbul, Turkey.
Alejandro Marín IbañezSan Jose Norte Health Centre, Zaragoza, Spain.
Edoardo CasigliaUniversity of Padova, Padova, Italy.
J Wouter JukemaLeiden University Medical Center, Leiden, the Netherlands.
Lara M SimpsonUniversity of Texas School of Public Health, Houston.
Simona GiampaoliIstituto Superiore di Sanità, Rome, Italy.
Børge G NordestgaardHerlev Hospital, Copenhagen University Hospital, University of Copenhagen, Copenhagen, Denmark.
Randi SelmerNorwegian Institute of Public Health, Oslo, Norway.
Patrik WennbergUmeå University, Umeå, Sweden.
Jussi KauhanenUniversity of Eastern Finland, Kuopio, Finland.
Jukka T SalonenUniversity of Helsinki, Helsinki, Finland.
Rachel DanknerThe Gertner Institute for Epidemiology and Health Policy Research, Tel Hashomer, Israel47Tel Aviv University, Tel Aviv, Israel48The Feinstein Institute for Medical Research, New York, New York.
Elizabeth Barrett-ConnorUniversity of California, San Diego.
Maryam KavousiErasmus Medical Center, Rotterdam, the Netherlands.
Vilmundur GudnasonIcelandic Heart Association, Reyjavik, Iceland52University of Iceland, Reykjavik, Iceland.
Denis EvansRush University Medical Center, Chicago, Illinois.
Robert B WallaceUniversity of Iowa College of Public Health, Iowa City.
Mary CushmanUniversity of Vermont, Burlington.
Ralph B D'AgostinoBoston University, Boston, Massachusetts.
Jason G UmansGeorgetown University Medical Centre, Washington, DC.
Yutaka KiyoharaKyushu University, Kyushu, Japan.
Hidaeki NakagawaKanazawa Medical University, Ishikawa, Japan.
Shinichi SatoOsaka Medical Center for Health Science and Promotion/Chiba Prefectural Institute of Public Health, Osaka, Japan.
Richard F GillumHoward University, Washington, DC.
Aaron R FolsomUniversity of Minnesota, Minneapolis.
Yvonne T van der SchouwJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands.
Karel G MoonsJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands.
Simon J GriffinUniversity of Cambridge, Cambridge, United Kingdom.
Naveed SattarUniversity of Glasgow, Glasgow, United Kingdom.
Nicholas J WarehamUniversity of Cambridge, Cambridge, United Kingdom.
Elizabeth SelvinJohns Hopkins University, Baltimore, Maryland.
Simon G ThompsonUniversity of Cambridge, Cambridge, United Kingdom.
John DaneshUniversity of Cambridge, Cambridge, United Kingdom.

Funding

South Carolina Clinical & Translational Research Institute (SCTR)UL1TR000062 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2012 to 2014
$9.4M
British Heart Foundation PG/13/66/30442British Heart Foundation RG/08/013/25942British Heart Foundation RG/08/014/24067British Heart Foundation RG/13/16/30528Medical Research Council G0401527Medical Research Council G1000143Medical Research Council MC_U106179474Medical Research Council MC_UU_12013/5Medical Research Council MC_UU_12015/4Medical Research Council MR/K013351/1Medical Research Council MR/L003120/1NCATS NIH HHS UL1 TR000062
6 · The paper itself

Abstract

importanceThe value of measuring levels of glycated hemoglobin (HbA1c) for the prediction of first cardiovascular events is uncertain.

objectiveTo determine whether adding information on HbA1c values to conventional cardiovascular risk factors is associated with improvement in prediction of cardiovascular disease (CVD) risk. DESIGN, SETTING, AND

participantsAnalysis of individual-participant data available from 73 prospective studies involving 294,998 participants without a known history of diabetes mellitus or CVD at the baseline assessment. MAIN OUTCOMES AND MEASURES: Measures of risk discrimination for CVD outcomes (eg, C-index) and reclassification (eg, net reclassification improvement) of participants across predicted 10-year risk categories of low (<5%), intermediate (5% to <7.5%), and high (≥ 7.5%) risk.

resultsDuring a median follow-up of 9.9 (interquartile range, 7.6-13.2) years, 20,840 incident fatal and nonfatal CVD outcomes (13,237 coronary heart disease and 7603 stroke outcomes) were recorded. In analyses adjusted for several conventional cardiovascular risk factors, there was an approximately J-shaped association between HbA1c values and CVD risk. The association between HbA1c values and CVD risk changed only slightly after adjustment for total cholesterol and triglyceride concentrations or estimated glomerular filtration rate, but this association attenuated somewhat after adjustment for concentrations of high-density lipoprotein cholesterol and C-reactive protein. The C-index for a CVD risk prediction model containing conventional cardiovascular risk factors alone was 0.7434 (95% CI, 0.7350 to 0.7517). The addition of information on HbA1c was associated with a C-index change of 0.0018 (0.0003 to 0.0033) and a net reclassification improvement of 0.42 (-0.63 to 1.48) for the categories of predicted 10-year CVD risk. The improvement provided by HbA1c assessment in prediction of CVD risk was equal to or better than estimated improvements for measurement of fasting, random, or postload plasma glucose levels. CONCLUSIONS AND RELEVANCE: In a study of individuals without known CVD or diabetes, additional assessment of HbA1c values in the context of CVD risk assessment provided little incremental benefit for prediction of CVD risk.

Indexed as

AgedCholesterol, HDLCoronary DiseaseC-Reactive ProteinDiabetes MellitusFemaleGlycated HemoglobinHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesRisk AssessmentStrokeCholesterol, HDLC-Reactive ProteinGlycated Hemoglobin

Identifiers

PMID24668104
PMCPMC4386007

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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.