Evidence map›Paper›PMID 25818242›Full record

ArticleClinica chimica acta; international journal of clinical chemistry2015

Collection and laboratory methods for dried blood spots for hemoglobin A1c and total and high-density lipoprotein cholesterol in population-based surveys.

Ivey M Miller, David A Lacher, Te-Ching Chen, George W Zipf, Renee M Gindi, Adena M Galinsky, Tatiana Nwankwo, Ana L Terry

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinica chimica acta; international journal of clinical chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 34% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Dried Blood Spots to Assess Cardiovascular-Kidney-Metabolic Health.Journal of the American Heart Association · 2025
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Combining lipidomics and machine learning to measure clinical lipids in dried blood spots.Metabolomics : Official journal of the Metabolomic Society · 2020
    Article
  9. Article
  10. 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

8 authors at 2 institutions in 1 country.

Ivey M MillerDivision of Health Examination Survey, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD, USA. Electronic address: IMiller1@cdc.gov.
David A LacherDivision of Health Examination Survey, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD, USA.
Te-Ching ChenDivision of Health Examination Survey, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD, USA.
George W ZipfDivision of Health Examination Survey, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD, USA.
Renee M GindiDivision of Health Interview Statistics, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD, USA.
Adena M GalinskyDivision of Health Interview Statistics, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD, USA.
Tatiana NwankwoDivision of Health Examination Survey, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD, USA.
Ana L TerryDivision of Health Examination Survey, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD, USA.
Centers for Disease Control and Prevention · USNational Center for Health Statistics · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundThe Health Measures at Home Study was a study designed to evaluate the feasibility of incorporating dried blood spots (DBS) collection into the National Health Interview Survey and to compare the proficiencies between field interviewers and health technicians in obtaining DBS.

methodsDBS collection and venipuncture were attempted on 125 participants. The DBS were collected in the participant's home and venous blood was collected in the National Health and Nutrition Examination Survey (NHANES) mobile examination center. The DBS results were compared to venous results in the NHANES for the measurements of hemoglobin A1c (HbA1c) and total and high-density lipoprotein (HDL) cholesterol.

resultsField interviewers and health technicians were able to collect the DBS for greater than 95% of participants. For DBS, health technicians and field interviewers were highly correlated for HbA1c (r=0.92) and total cholesterol (r=0.89), but not for HDL cholesterol (r=0.72). The DBS results of interviewers and health technicians compared to the venous method for HbA1c (r=0.90), but did not compare well for HDL cholesterol (r=0.64-0.66) and total cholesterol (r=0.65-0.67).

conclusionDBS was comparable to venous HbA1c, but not for total and HDL cholesterol. Health technicians and field interviewers had similar performance for DBS methods, except HDL cholesterol.

Indexed as

Blood Specimen CollectionDried Blood Spot TestingGlycated HemoglobinHumansLipoproteins, HDLNutrition SurveysObserver VariationPhlebotomyQuality ControlReproducibility of ResultsGlycated Hemoglobinhemoglobin A1c protein, humanLipoproteins, HDLDiabetesDried blood spotsLaboratory method comparisonLipidsSurvey methods

Identifiers

PMID25818242
PMCPMC7442227
OpenAlexW2013329509

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.