Evidence map›Paper›PMID 40077907›Full record

ArticleExperimental physiology2025

Comparing 17β-estradiol and progesterone concentrations in young, physically active females: Insights from plasma versus serum analysis.

Samantha N Rowland, Mariasole Da Boit, Rachel Tan, Liam M Heaney, Stephen J Bailey

Abstract read
In one paragraph

Article in Experimental physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Samantha N RowlandWomen in Sport Research and Innovation Hub, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.ORCID https://orcid.org/0000-0002-1458-5244
Mariasole Da BoitHealth and Life Sciences, School of Allied Health Sciences, De Montfort University, Leicester, UK.ORCID https://orcid.org/0000-0003-4440-0703
Rachel TanNatural Science Division, Pepperdine University, Malibu, California, USA.ORCID https://orcid.org/0000-0001-8669-168X
Liam M HeaneyWomen in Sport Research and Innovation Hub, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.ORCID https://orcid.org/0000-0002-8791-0167
Stephen J BaileyWomen in Sport Research and Innovation Hub, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.ORCID https://orcid.org/0000-0003-0923-6362

Funding

School of Sport, Exercise and Health Sciences at Loughborough University
6 · The paper itself

Abstract

Serum measurements of 17β-estradiol and progesterone are widely used to verify menstrual cycle status and confirm contraceptive use, often through commercially available immunoassay kits. However, no studies have investigated whether blood collection tube chemistries influence hormone concentrations in young females, despite assays permitting the use of different biofluids with similar reference ranges. In this study, venous blood was sampled from physically active females (n = 25) using Ethylenediaminetetraacetic acid (EDTA) and serum vacutainers, and 17β-estradiol and progesterone concentrations were measured using competitive immunoenzymatic assays. Median plasma concentrations of 17β-estradiol and progesterone were 44.2% (plasma 40.75 vs. serum 28.25 pg/ml) and 78.9% (plasma 1.70 vs. serum 0.95 ng/ml) higher than serum concentrations, respectively (P < 0.001 for both). Strong positive correlations were observed between plasma and serum concentrations for 17β-estradiol (r = 0.72; P < 0.001) and progesterone (r = 0.89; P < 0.001). The mean bias and limits of agreement for plasma versus serum were 12.5 pg/ml (-20.6 to 45.5 pg/ml) for 17β-estradiol and 1.01 ng/ml (-5.6 to 7.6 ng/ml) for progesterone. Ovarian hormone levels were consistently higher in EDTA plasma compared with serum, with these matrices not yielding statistically equivalent results. Despite these differences, the strong correlations and good agreement suggest that both matrices are suitable for biomarker analysis. Researchers using EDTA plasma should account for the higher hormone concentrations when applying inclusion or exclusion criteria, because adjustments might be necessary to ensure appropriate participant classification.

Indexed as

contraceptionhormonesimmunoassaymenstrual cyclephysiology

Identifiers

PMID40077907
PMCPMC12314634

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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.