Evidence map›Paper›PMID 24407040›Full record

ArticleSteroids2014

High variability in serum estradiol measurements in men and women.

Hubert W Vesper, Julianne C Botelho, Meghan L Vidal, Yasamin Rahmani, Linda M Thienpont, Samuel P Caudill

Abstract read
In one paragraph

Article in Steroids, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

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

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

  1. Guideline
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. 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

6 authors.

Hubert W VesperCenters for Disease Control and Prevention, 4770 Buford Highway, NE F25, Atlanta 30341-3724, Georgia. Electronic address: HVesper@cdc.gov.
Julianne C BotelhoCenters for Disease Control and Prevention, 4770 Buford Highway, NE F25, Atlanta 30341-3724, Georgia.
Meghan L VidalCenters for Disease Control and Prevention, 4770 Buford Highway, NE F25, Atlanta 30341-3724, Georgia.
Yasamin RahmaniCenters for Disease Control and Prevention, 4770 Buford Highway, NE F25, Atlanta 30341-3724, Georgia.
Linda M ThienpontUniversity of Ghent, Harelbekestraat 72, Ghent B-9000, Belgium.
Samuel P CaudillCenters for Disease Control and Prevention, 4770 Buford Highway, NE F25, Atlanta 30341-3724, Georgia.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

To reduce the variability in estradiol (E2) testing and to assure better patient care, standardization of E2 measurements has been recommended. This study aims to assess the accuracy and variability of E2 measurements performed by 11 routine immunological methods and 6 mass spectrometry methods using single donor serum materials and to compare the results to a reference method. The contribution of calibration bias, specificity or matrix effects, and imprecision on the overall variability of individual assays was evaluated. This study showed substantial variability in serum E2 measurements in samples from men and pre- and post-menopausal women. The mean bias across all samples, for each participant, ranged between -2.4% and 235%, with 3 participants having a mean bias of over 100%. The data suggest that calibration bias is the major contributor to the overall variability for nine assays. The analytical performances of most assays measuring E2 concentrations do not meet current needs in research and patient care. Three out of 17 assays would meet performance criteria derived from biological variability of ±12.5% bias at concentrations ≥20 pg/mL, and a maximum allowable bias of ±2.5 pg/mL at concentrations <20 pg/mL. The sensitivity differs highly between assays. Most assays are not able to measure E2 levels below 10 pg/mL. Standardization, specifically calibration to a common standard by using panels of individual patient samples, can reduce the observed variability and improve the utility of E2 levels in clinical settings.

Indexed as

AdultAgedBiasCalibrationEstradiolFemaleHumansMaleMiddle AgedReference StandardsSex CharacteristicsYoung AdultEstradiolAnalytical variabilityAssay comparisonEstradiol

Identifiers

PMID24407040
PMCPMC5699465

What OpenQuestion holds

Textmetadata
LicenceTDM
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.