Evidence map›Paper›PMID 38357630›Full record

ArticleFrontiers in molecular biosciences2024

Longitudinal analysis of external quality assessment of immunoassay-based steroid hormone measurement indicates potential for improvement in standardization.

Laura Vierbaum, Nathalie Weiss, Patricia Kaiser, Marcel Kremser, Folker Wenzel, Mario Thevis, Ingo Schellenberg, Peter B Luppa

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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

5 citing papers in PubMed, 3 citations in OpenAlex.

  1. [Development of an LC-MS/MS method for 32 steroid hormones and exploration of their gestational variations].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026
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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

8 authors at 3 institutions in 1 country.

Laura VierbaumINSTAND e.V., Society for Promoting Quality Assurance in Medical Laboratories, Duesseldorf, Germany.
Nathalie WeissINSTAND e.V., Society for Promoting Quality Assurance in Medical Laboratories, Duesseldorf, Germany.
Patricia KaiserINSTAND e.V., Society for Promoting Quality Assurance in Medical Laboratories, Duesseldorf, Germany.
Marcel KremserINSTAND e.V., Society for Promoting Quality Assurance in Medical Laboratories, Duesseldorf, Germany.
Folker WenzelINSTAND e.V., Society for Promoting Quality Assurance in Medical Laboratories, Duesseldorf, Germany.
Mario ThevisInstitute of Biochemistry/Center for Preventive Doping Research, German Sport University Cologne, Cologne, Germany.
Ingo SchellenbergINSTAND e.V., Society for Promoting Quality Assurance in Medical Laboratories, Duesseldorf, Germany.
Peter B LuppaINSTAND e.V., Society for Promoting Quality Assurance in Medical Laboratories, Duesseldorf, Germany.
Association of the Scientific Medical Societies · DEAnhalt University of Applied Sciences · DEGerman Sport University Cologne · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As hormonal disorders are linked to several diseases, the accurate quantitation of steroid hormone levels in serum is crucial in order to provide patients with a reliable diagnosis. Mass spectrometry-based methods are regarded as having the highest level of specificity and sensitivity. However, immunoassays are more commonly used in routine diagnostics to measure steroid levels as they are more cost effective and straightforward to conduct. This study analyzes the external quality assessment results for the measurement of testosterone, progesterone and 17β-estradiol in serum using immunoassays between early 2020 and May 2022. As reference measurement procedures are available for the three steroid hormones, the manufacturer-specific biases were normalized to the reference measurement values. The manufacturer-specific coefficients of variation were predominantly inconspicuous, below 20% for the three hormones when outliers are disregarded, however there were large differences between the various manufacturer collectives. For some collectives, the median bias to the respective reference measurement value was repeatedly greater than ±35%, which is the acceptance limit defined by the German Medical Association. In the case of testosterone and progesterone determination, some collectives tended to consistently over- or underestimate analyte concentrations compared to the reference measurement value, however, for 17β-estradiol determination, both positive and negative biases were observed. This insufficient level of accuracy suggests that cross-reactivity continues to be a fundamental challenge when antibody detection is used to quantify steroids with a high structural similarity. Distinct improvements in standardization are required to provide accurate analysis and thus, reliable clinical interpretations. The increased accuracy of the AX immunoassay for testosterone measurement, as observed in the INSTAND EQAs between 2020 and 2022, could be the result of a recalibration of the assay and raises hope for further improvement of standardization of immunoassay-based steroid hormone analyses in the coming years.

Indexed as

accuracyexternal quality assessment (EQA)immunoassaysproficiency testing (PT)progesterone and 17β-estradiolstandardizationsteroid hormonestestosterone

Identifiers

PMID38357630
PMCPMC10865096
OpenAlexW4391389203

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.