Evidence map›Paper›PMID 34386568›Full record

ArticlePractical laboratory medicine2021

Serum 25-hydroxyvitamin D measurement: Comparative evaluation of three automated immunoassays.

Francesca Trimboli, Salvatore Rotundo, Simone Armili, Selena Mimmi, Fortunata Lucia, Nicola Montenegro, Giulio Cesare Antico, Alessandro Cerra, Maria Gaetano, Francesco Galato and 8 more

Abstract read
In one paragraph

Article in Practical laboratory medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Observational
  7. Review
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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

18 authors.

Francesca TrimboliDepartment of Health Science, Magna Græcia University, Catanzaro, Italy.
Salvatore RotundoDepartment of Health Science, Magna Græcia University, Catanzaro, Italy.
Simone ArmiliDepartment of Health Science, Magna Græcia University, Catanzaro, Italy.
Selena MimmiDepartment of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy.
Fortunata LuciaClinical Biochemistry Unit, Azienda Ospedaliera Universitaria Mater Domini Hospital, Catanzaro, Italy.
Nicola MontenegroClinical Biochemistry Unit, Azienda Ospedaliera Universitaria Mater Domini Hospital, Catanzaro, Italy.
Giulio Cesare AnticoClinical Biochemistry Unit, Azienda Ospedaliera Universitaria Mater Domini Hospital, Catanzaro, Italy.
Alessandro CerraClinical Pathology Unit, Azienda Ospedaliera Universitaria Mater Domini Hospital, Catanzaro, Italy.
Maria GaetanoClinical Biochemistry Unit, Azienda Ospedaliera Universitaria Mater Domini Hospital, Catanzaro, Italy.
Francesco GalatoClinical Biochemistry Unit, Azienda Ospedaliera Universitaria Mater Domini Hospital, Catanzaro, Italy.
Lorenza Giaquinto CarinciClinical Biochemistry Unit, Azienda Ospedaliera Universitaria Mater Domini Hospital, Catanzaro, Italy.
Danilo IaniaClinical Biochemistry Unit, Azienda Ospedaliera Universitaria Mater Domini Hospital, Catanzaro, Italy.
Serafina MancusoClinical Biochemistry Unit, Azienda Ospedaliera Universitaria Mater Domini Hospital, Catanzaro, Italy.
Maria MartucciClinical Biochemistry Unit, Azienda Ospedaliera Universitaria Mater Domini Hospital, Catanzaro, Italy.
Consuelo TetiClinical Biochemistry Unit, Azienda Ospedaliera Universitaria Mater Domini Hospital, Catanzaro, Italy.
Marta GrecoDepartment of Health Science, Magna Græcia University, Catanzaro, Italy.
Giovanni CudaDepartment of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy.
Elvira AngottiClinical Biochemistry Unit, Azienda Ospedaliera Universitaria Mater Domini Hospital, Catanzaro, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesthe different analytical methods for measurement of serum 25-hydroxyvitamin D (25(OH)D) are not yet fully harmonized and no consensus exists on a threshold of 25(OH)D defining a deficiency status. In this study, we compared the results from the assays of serum 25(OH)D performed with three different methods to evaluate the presence of potential biases and how much these biases can influence the assignment of patients to specific 25(OH)D deficiency/sufficiency categories. DESIGN AND

methodsLiaison 25(OH) Vitamin D Total (DiaSorin Liaison XL), Elecsys Vitamin D Total II (Roche Elecsys) and Lumipulse G25(OH) Vitamin D (Fujirebio Lumipulse G1200) were used. Methods comparability was established performing Passing-Bablok regression and Bland-Altman analysis to prove whether the differences found were lower than the preliminarily pre-established maximum acceptable bias.

resultsall Passing-Bablok regressions exhibited the presence of a proportional and constant systematic error. Bland-Altman analysis revealed biases well above the maximum acceptable bias, so the 25(OH)D concentrations measured were not comparable. To evaluate whether the three methods had the same ability to classify patients into different categories of vitamin D levels, we categorized results obtained by each method in reference classes. Lumipulse categorized most patients into the class with the lowest 25(OH)D concentrations (<20 ng/mL) whereas Elecsys ranked the lowest number.

conclusionsLiaison XL and Elecsys have shown good accuracy compared to Lumipulse in measuring 25(OH)D levels. Nevertheless, the assays were not interchangeable due to the lack of comparability of results as well as to the disagreement in classification of hormone deficiency or sufficiency.

Indexed as

25(OH)Vitamin DMethod clinical validationMethod comparison

Identifiers

PMID34386568
PMCPMC8342948

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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.