Evidence map›Paper›PMID 26511311›Full record

ArticleJournal of clinical laboratory analysis2016

Development and Validation of an Enzymatic Method for Total Cholesterol Analysis Using Whole Blood Spot.

Gaetano Corso, Francesco Papagni, Monica Gelzo, Monica Gallo, Rosalba Barone, Maria Graf, Nicola Scarpato, Antonio Dello Russo

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 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. Longitudinal associations between father- and mother-child interactions, coparenting, and child cardiometabolic health.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2026
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  10. A pre-clinical study to investigate the anti-diabetic potential ofJournal of diabetes and metabolic disorders · 2023
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  15. Veterinary world · 2021
    Article
  16. Combining lipidomics and machine learning to measure clinical lipids in dried blood spots.Metabolomics : Official journal of the Metabolomic Society · 2020
    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.

Gaetano CorsoDepartment of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy. gaetano.corso@unifg.it.
Francesco PapagniDepartment of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, Naples, Italy.
Monica GelzoDepartment of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.
Monica GalloDepartment of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, Naples, Italy.
Rosalba BaroneDepartment of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, Naples, Italy.
Maria GrafDepartment of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, Naples, Italy.
Nicola ScarpatoDepartment of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, Naples, Italy.
Antonio Dello RussoDepartment of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, Naples, Italy. antonio.dellorusso@unina.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh serum cholesterol represents a risk factor for cardiovascular disease. This study aims to quantify total cholesterol in dried blood spot (DBS) by direct enzymatic method.

methodsThree hundred seventeen blood samples with serum cholesterol level ranging from 81 to 337 mg/dl were collected. DBS were manually prepared, cholesterol was extracted using methanol and analyzed by a manual enzymatic method. DBS cholesterol method was validated for imprecision and extraction efficacy. DBS cholesterol values were correlated (training test) with serum values measured by automated enzymatic method (reference method). The obtained correlation was used for predicting serum cholesterol from DBS analysis of a new sample group (validation test, n = 58).

resultsWithin-day and between-day coefficient of variation (CV%) were lower than 7.69 and 6.32, respectively. Residual cholesterol in DBS after extraction was 16%. DBS cholesterol and serum cholesterol showed a linear correlation (slope = 0.5217; r = 0.9139) and a bias of -28%. Furthermore, DBS cholesterol values of validation test (n = 58), converted using the training test correlation, were not statistically different compared to the corresponding plasma values (P = 0.9487), and the comparison by Passing and Bablok showed a linear regression with a slope of 1.068 (r = 0.611) and a bias of -0.22%.

conclusionsThe results show that this enzymatic method is suitable to analyze cholesterol in DBS and it could be automated and used for population screening of total blood cholesterol.

Indexed as

Dried Blood Spot TestingCholesterolChromatography, High Pressure LiquidFemaleHumansMaleRegression AnalysisReproducibility of ResultsSex FactorsTandem Mass SpectrometryTime FactorsCholesterolchronic degenerative diseasesdried blood spottotal blood cholesterol

Identifiers

PMID26511311
PMCPMC6807098

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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.