Evidence map›Paper›PMID 26652683›Full record

ArticleBiodemography and social biology2015

Validation of Biomarkers of CVD Risk from Dried Blood Spots in Community-Based Research: Methodologies and Study-Specific Serum Equivalencies.

Laura B Samuelsson, Martica H Hall, Shakir McLean, James H Porter, Lisa Berkman, Miguel Marino, Grace Sembajwe, Thomas W McDade, Orfeu M Buxton

Abstract readValidation Study
In one paragraph

Article in Biodemography and social biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Dried Blood Spots to Assess Cardiovascular-Kidney-Metabolic Health.Journal of the American Heart Association · 2025
    Pooled it
  2. Trial
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Dried blood spots: Effects of less than optimal collection, shipping time, heat, and humidity.American journal of human biology : the official journal of the Human Biology Council · 2020
    Article
  12. Combining lipidomics and machine learning to measure clinical lipids in dried blood spots.Metabolomics : Official journal of the Metabolomic Society · 2020
    Article
  13. Article
  14. Sleep Health and Predicted Cardiometabolic Risk Scores in Employed Adults From Two Industries.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2018
    Article
  15. Review
  16. Blood-borne biomarkers and bioindicators for linking exposure to health effects in environmental health science.Journal of toxicology and environmental health. Part B, Critical reviews · 2016
    Review
  17. Article
  18. Article
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

9 authors.

Laura B Samuelssona Department of Psychology , University of Pittsburgh , Pittsburgh , PA , USA.
Martica H Hallb Department of Psychiatry , University of Pittsburgh School of Medicine , Pittsburgh , PA , USA.
Shakir McLeanc Warren Alpert Medical School , Brown University , Providence , RI , USA.
James H Porterd Department of Medicine , Brigham and Women's Hospital, Boston, MA, USA, Center for Population and Development Studies, Harvard School of Public Health , Cambridge , MA , USA.
Lisa Berkmane Department of Epidemiology , Harvard Center for Population and Development Studies, Cambridge, MA, USA, Harvard School of Public Health , Boston , MA , USA.
Miguel Marinof Department of Family Medicine , Oregon Health and Science University , Portland , OR , USA.
Grace Sembajweg CUNY School of Public Health, Hunter College , New York , NY , USA.
Thomas W McDadeh Department of Anthropology and Institute for Policy Research , Northwestern University , Evanston , IL , USA.
Orfeu M Buxtoni Division of Sleep Medicine , Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA, Department of Social and Behavioral Sciences, Harvard School of Public Health, Cambridge, MA, USA, Department of Biobehavioral Health, Pennsylvania State University , State College , PA , USA.

Funding

HARVARD CLINICAL AND TRANSLATIONAL SCIENCE CENTER (UL1)UL1RR025758 · NCRR · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2008 to 2011
$91.4M
UNIVERSITY OF PITTSBURGH CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTE: BPCAUL1RR024153 · NCRR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2006 to 2011
$73.9M
University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
The Harvard TH Chan School of Public Health Center for Work, Health and WellbeingU19OH008861 · OH · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI SORENSEN, GLORIAN C · 2007 to 2025
$23.9M
TRAINING IN SLEEP, CIRCADIAN &RESPIRATORY NEUROBIOLOGYT32HL007901 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Charles A Czeisler · 1998 to 2026
$18.5M
CARDIOVASCULAR BEHAVIORAL MEDICINE RESEARCH TRAININGT32HL007560 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Peter J Gianaros, REBECCA C THURSTON · 1985 to 2026
$11.3M
Family Responsive Workplaces &Low-Wage Employee HealthU01AG027669 · NIA · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI BERKMAN, LISA F · 2005 to 2012
$7.5M
Sleep: A Novel Pathway Linking Major Depression and Cardiovascular DiseaseR01HL104607 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HALL, MARTICA HELON · 2010 to 2013
$2.8M
Evaluating cardiometabolic and sleep health benefits of a workplace interventionR01HL107240 · NHLBI · PENNSYLVANIA STATE UNIVERSITY, THE · PI BUXTON, ORFEU M · 2011 to 2014
$1.8M
NCATS NIH HHS UL1 TR000005NCATS NIH HHS UL1-TR000005NCRR NIH HHS UL1 RR024153NCRR NIH HHS UL1-RR024153NCRR NIH HHS UL1 RR025758NHLBI NIH HHS R01 HL104607NHLBI NIH HHS R01-HL104607NHLBI NIH HHS R01 HL107240NHLBI NIH HHS R01-HL107240NHLBI NIH HHS T32 HL007560NHLBI NIH HHS T32 HL007901NHLBI NIH HHS T32-HL007901NIA NIH HHS U01 AG027669NIA NIH HHS U01-AG027669NIOSH CDC HHS U19 OH008861
6 · The paper itself

Abstract

Dried blood spot (DBS) methodology offers significant advantages over venipuncture in studies of vulnerable populations or large-scale studies, including reduced participant burden and higher response rates. Uncertainty about the validity of cardiovascular disease (CVD) risk biomarkers remains a barrier to wide-scale use. We determined the validity of DBS-derived biomarkers of CVD risk versus gold-standard assessments, and study-specific, serum-equivalency values for clinical relevance of DBS-derived values. Concurrent venipuncture serum and DBS samples (n = 150 adults) were assayed in Clinical Laboratory Improvement Amendments-certified and DBS laboratories, respectively. Time controls of DBS standard samples were assayed single-blind along with test samples. Linear regression analyses evaluated DBS-to-serum equivalency values; agreement and bias were assessed via Bland-Altman plots. Linear regressions of venipuncture values on DBS-to-serum equivalencies provided R(2) values for total cholesterol, high-density lipoprotein cholesterol (HDL-C), and C-reactive protein (CRP) of 0.484, 0.118, and 0.666, respectively. Bland-Altman plots revealed minimal systematic bias between DBS-to-serum and venipuncture values; precision worsened at higher mean values of CRP. Time controls revealed little degradation or change in analyte values for HDL-C and CRP over 30 weeks. We concluded that DBS-assessed biomarkers represent a valid alternative to venipuncture assessments. Large studies using DBS should include study-specific serum-equivalency determinations to optimize individual-level sensitivity, the viability of detecting intervention effects, and generalizability in community-level primary prevention interventions.

Indexed as

AdultAgedBiomarkersCardiovascular DiseasesCholesterolCholesterol, HDLC-Reactive ProteinDried Blood Spot TestingFemaleHumansMaleMiddle AgedQuality ControlRegression AnalysisReproducibility of ResultsYoung AdultBiomarkersCholesterolCholesterol, HDLC-Reactive Protein

Identifiers

PMID26652683
PMCPMC4812568

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Registered trials

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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.