Evidence map›Paper›PMID 28170479›Full record

ArticleJAMA2017

Association of Sickle Cell Trait With Hemoglobin A1c in African Americans.

Mary E Lacy, Gregory A Wellenius, Anne E Sumner, Adolfo Correa, Mercedes R Carnethon, Robert I Liem, James G Wilson, David B Sacks, David R Jacobs, April P Carson and 8 more

Open access · greenAbstract read
In one paragraph

Article in JAMA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 3 pooled it
10.8field-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

70 citing papers in PubMed, 3 syntheses or guidelines pooled it, 141 citations in OpenAlex.

  1. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2022
    Guideline
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  19. Human pancreatic islet microRNAs implicated in diabetes and related traits by large-scale genetic analysis.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
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10 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 12 institutions in 1 country.

Mary E LacyDepartment of Epidemiology, Brown University School of Public Health, Providence, Rhode Island.
Gregory A WelleniusDepartment of Epidemiology, Brown University School of Public Health, Providence, Rhode Island.
Anne E SumnerDiabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes, Digestive, and Kidney Diseases and the National Institute of Minority Health and Health Disparities, National Institutes of Health, Bethesda, Maryland.
Adolfo CorreaDepartment of Medicine, University of Mississippi Medical Center, Jackson.
Mercedes R CarnethonDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Robert I LiemDivision of Hematology, Oncology & SCT, Ann & Robert H. Lurie Children's Hospital, Chicago, Illinois.
James G WilsonDepartment of Physiology and Biophysics, University of Mississippi Medical Center, Jackson.
David B SacksDepartment of Laboratory Medicine, NIH Clinical Center, National Institutes of Health, Bethesda, Maryland.
David R JacobsDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis.
April P CarsonDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham.
Xi LuoDepartment of Biostatistics, Brown University School of Public Health, Providence, Rhode Island.
Annie GjelsvikDepartment of Epidemiology, Brown University School of Public Health, Providence, Rhode Island.
Alexander P ReinerDepartment of Epidemiology, University of Washington School of Public Health, Seattle.
Rakhi P NaikDivision of Hematology, Department of Medicine, Johns Hopkins University, Baltimore, Maryland.
Simin LiuDepartment of Epidemiology, Brown University School of Public Health, Providence, Rhode Island15Department of Medicine, Alpert Medical School, Brown University, Providence, Rhode Island.
Solomon K MusaniDepartment of Medicine, University of Mississippi Medical Center, Jackson.
Charles B EatonDepartment of Epidemiology, Brown University School of Public Health, Providence, Rhode Island.
Wen-Chih WuDepartment of Epidemiology, Brown University School of Public Health, Providence, Rhode Island13Center for Innovation in Long-Term Services and Support, Providence Veterans Affairs Medical Center, Providence, Rhode Island14Division of Cardiology, Providence Veterans Affairs Medical Center, Providence, Rhode Island15Department of Medicine, Alpert Medical School, Brown University, Providence, Rhode Island.
Brown University · USUniversity of Mississippi Medical Center · USJackson Memorial Hospital · USJohns Hopkins Medicine · USLurie Children's Hospital · USNational Institutes of Health · USNational Institutes of Health Clinical Center · USNorthwestern University · USProvidence VA Medical Center · USUniversity of Alabama at Birmingham · USUniversity of Minnesota · USUniversity of Washington · US

Funding

Heart Disease Risk Factors In African AmericansZIADK047023 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI SUMNER, ANNE · 2009 to 2025
$16.3M
Discovery of Mendelian Dyslipidemia and Heart Attack Genes Using Exome SequencingR01HL107816 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI KATHIRESAN, SEKAR · 2011 to 2015
$2.7M
Sickle Cell Trait: An overlooked genetic modifier of disease in African-AmericansK08HL125100 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI NAIK, RAKHI · 2015 to 2018
$655k
The Role of Nontraditional Glycemic Markers in Diabetes and AlbuminuriaK01DK095928 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CARSON, APRIL P · 2013 to 2015
$406k
Effect of sickle cell trait status on diabetes prediction in African AmericansF31DK105791 · NIDDK · BROWN UNIVERSITY · PI LACY, MARY E. · 2015 to 2016
$87k
NHLBI NIH HHS HHSN268201300025CNHLBI NIH HHS HHSN268201300026CNHLBI NIH HHS HHSN268201300027CNHLBI NIH HHS HHSN268201300028CNHLBI NIH HHS HHSN268201300029CNHLBI NIH HHS HHSN268201300046CNHLBI NIH HHS HHSN268201300047CNHLBI NIH HHS HHSN268201300048CNHLBI NIH HHS HHSN268201300049CNHLBI NIH HHS HHSN268201300050CNHLBI NIH HHS K08 HL125100NHLBI NIH HHS R01 HL107816NIDDK NIH HHS F31 DK105791NIDDK NIH HHS K01 DK095928
6 · The paper itself

Abstract

Importance: Hemoglobin A1c (HbA1c) reflects past glucose concentrations, but this relationship may differ between those with sickle cell trait (SCT) and those without it. Objective: To evaluate the association between SCT and HbA1c for given levels of fasting or 2-hour glucose levels among African Americans. Design, Setting, and Participants: Retrospective cohort study using data collected from 7938 participants in 2 community-based cohorts, the Coronary Artery Risk Development in Young Adults (CARDIA) study and the Jackson Heart Study (JHS). From the CARDIA study, 2637 patients contributed a maximum of 2 visits (2005-2011); from the JHS, 5301 participants contributed a maximum of 3 visits (2000-2013). All visits were scheduled at approximately 5-year intervals. Participants without SCT data, those without any concurrent HbA1c and glucose measurements, and those with hemoglobin variants HbSS, HbCC, or HbAC were excluded. Analysis of the primary outcome was conducted using generalized estimating equations (GEE) to examine the association of SCT with HbA1c levels, controlling for fasting or 2-hour glucose measures. Exposures: Presence of SCT. Main Outcomes and Measures: Hemoglobin A1c stratified by the presence or absence of SCT was the primary outcome measure. Results: The analytic sample included 4620 participants (mean age, 52.3 [SD, 11.8] years; 2835 women [61.3%]; 367 [7.9%] with SCT) with 9062 concurrent measures of fasting glucose and HbA1c levels. In unadjusted GEE analyses, for a given fasting glucose, HbA1c values were statistically significantly lower in those with (5.72%) vs those without (6.01%) SCT (mean HbA1c difference, -0.29%; 95% CI, -0.35% to -0.23%). Findings were similar in models adjusted for key risk factors and in analyses using 2001 concurrent measures of 2-hour glucose and HbA1c concentration for those with SCT (mean, 5.35%) vs those without SCT (mean, 5.65%) for a mean HbA1c difference of -0.30% (95% CI, -0.39% to -0.21%). The HbA1c difference by SCT was greater at higher fasting (P = .02 for interaction) and 2-hour (P = .03) glucose concentrations. The prevalence of prediabetes and diabetes was statistically significantly lower among participants with SCT when defined using HbA1c values (29.2% vs 48.6% for prediabetes and 3.8% vs 7.3% for diabetes in 572 observations from participants with SCT and 6877 observations from participants without SCT; P<.001 for both comparisons). Conclusions and Relevance: Among African Americans from 2 large, well-established cohorts, participants with SCT had lower levels of HbA1c at any given concentration of fasting or 2-hour glucose compared with participants without SCT. These findings suggest that HbA1c may systematically underestimate past glycemia in black patients with SCT and may require further evaluation.

Indexed as

Black or African AmericanGlycated HemoglobinBlood GlucoseCohort StudiesDiabetes MellitusFastingFemaleHumansMaleMiddle AgedOutcome Assessment, Health CarePrediabetic StatePrevalenceRetrospective StudiesRisk FactorsSickle Cell TraitBlood GlucoseGlycated Hemoglobin

Identifiers

PMID28170479
PMCPMC5713881
OpenAlexW2587727230

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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.