Evidence map›Paper›PMID 33063418›Full record

ArticleAmerican journal of human biology : the official journal of the Human Biology Council2021

Dried blood spot collection, sample quality, and fieldwork conditions: Structural validations for conversion into standard values.

Axel Börsch-Supan, Luzia M Weiss, Martina Börsch-Supan, Alan J Potter, Jake Cofferen, Elizabeth Kerschner

Open access · hybridAbstract read
In one paragraph

Article in American journal of human biology : the official journal of the Human Biology Council, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Dried Blood Spots to Assess Cardiovascular-Kidney-Metabolic Health.Journal of the American Heart Association · 2025
    Pooled it
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  10. Harmonization of four biomarkers across nine nationally representative studies of older persons.American journal of human biology : the official journal of the Human Biology Council · 2024
    Article
  11. Dried blood spot based biomarkers in the Health and Retirement Study: 2006 to 2016.American journal of human biology : the official journal of the Human Biology Council · 2024
    Article
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  15. Effects of spot size on biomarker levels of field-collected dried blood spots: A new algorithm for exact dried blood spot size measurement.American journal of human biology : the official journal of the Human Biology Council · 2022
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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

6 authors at 4 institutions in 2 countries.

Axel Börsch-SupanMunich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy, Munich, Germany.ORCID 0000-0003-0470-8850
Luzia M WeissMunich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy, Munich, Germany.
Martina Börsch-SupanSurvey of Health, Aging and Retirement in Europe (SHARE Biomarker Project), Munich, Germany.
Alan J PotterDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA.
Jake CofferenDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA.
Elizabeth KerschnerDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, Washington, USA.
University of Washington · USEuropean Patent Organisation · DEMax Planck Institute for Social Law and Social Policy · DENational Bureau of Economic Research · US

Funding

Understanding Cross-National Health Differences at Older Ages and Their CausesR01AG063944 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI BOERSCH-SUPAN, AXEL H, CRIMMINS, EILEEN M · 2019 to 2024
$3.2M
NIA NIH HHS R01 AG063944NIA NIH HHS R01AG063944
6 · The paper itself

Abstract

objectivesSHARE, a pan-European panel study in 27 European countries and Israel, has collected dried blood spot (DBS) samples from approximately 27 000 respondents in 13 countries. We aim to obtain factors to convert analyte values between DBS and venous blood samples (VBS) taking account of adverse fieldwork conditions such as small spot size, high temperature and humidity, short drying time and long shipment times.

methodsWe obtained VBS and DBS from a set of 20 donors in a laboratory setting, and treated the DBS in a systematic and controlled fashion simulating SHARE fieldwork conditions. We used the 3420 outcomes to estimate from DBS analyte values the values that we would have obtained had it been feasible to collect and analyze the donors' venous blood samples.

resultsThe influence of field conditions and sample quality on DBS analyte values is significant and differs among assays. Varying spot size is the main challenge and affects all markers except HbA1c. Smaller spots lead to overly high measured levels. A missing desiccant is detrimental for all markers except CRP and tHb. The temperature to which the samples are exposed plays a significant role for HDL and CysC, while too brief a drying time affects CRP and CysC. Lab-based adjustment formulae only accounting for the differences between re-liquefied DBS and venous blood do not address these fieldwork conditions.

conclusionsBy simulating adverse fieldwork conditions in the lab, we were able to validate DBS collected under such conditions and established conversion formulae with high prediction accuracy.

Indexed as

AgedAged, 80 and overDried Blood Spot TestingEuropeFemaleHot TemperatureHumansIsraelMaleMiddle AgedSpecimen Handling

Identifiers

PMID33063418
PMCPMC10980534
OpenAlexW3092903348

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.