Evidence map›Paper›PMID 38043696›Full record

ArticleClinical biochemistry2024

Accuracy-based proficiency testing for estradiol measurements.

Zhimin Tim Cao, Robert Rej, Hubert Vesper, J Rex Astles

Open access · greenAbstract read
In one paragraph

Article in Clinical biochemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Call for Standardization of C-Peptide Measurement.Journal of diabetes science and technology · 2025
    Review
  3. Breast cancer in a transgender man.CA: a cancer journal for clinicians
    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

4 authors at 3 institutions in 1 country.

Zhimin Tim CaoWadsworth Center, New York State Department of Health, Albany, NY, United States; Department of Pathology, SUNY Upstate Medical University, Syracuse, NY, United States.
Robert RejWadsworth Center, New York State Department of Health, Albany, NY, United States; Department of Biomedical Sciences, School of Public Health, University at Albany, State University of New York, Albany, NY, United States.
Hubert VesperCenters for Disease Control and Prevention, Atlanta, GA, United States.
J Rex AstlesCenters for Disease Control and Prevention, Atlanta, GA, United States. Electronic address: jda4@cdc.gov.
Centers for Disease Control and Prevention · USNew York State Department of Health · USWadsworth Center · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectivesAccuracy of estradiol measurements is important but conventional proficiency testing (PT) cannot assess accuracy when possibly non-commutable samples are used and method peer-group means are the targets. Accuracy-based assessment of estradiol measurements is needed. DESIGN AND

methodsFive serum samples were prepared from single donors, frozen, and distributed overnight to 76 New York State Department of Health (NYSDOH)-certified laboratories. Participants analyzed samples for estradiol. The biases of group means were assessed against the Centers for Disease Control and Prevention (CDC)-defined targets, evaluated using the Hormone Standardization Program (HoSt) E2 performance criterion of ±12.5 %. Each laboratory's performance was evaluated using total allowable error (acceptance limits) of target ±25 % or ±15 pg/mL (55 pmol/L) (whichever was greater, NYSDOH), target ±30 % (Clinical Laboratory Improvement Amendments [CLIA]), and target ±26 % (minimal limit based on biological variation [BV]).

resultsThe biases (range) were 34 % (-17 % to 175 %), 40 % (-33 % to 386 %), 16 % (-45 % to 193 %), 5 % (-27 % to 117 %), and -4% (-31 % to 21 %), for samples at estradiol of 24.1, 28.4, 61.7, 94.1, and 127 pg/mL, or 89, 104, 227, 345, and 466 pmol/L, respectively. Large positive method/analytical systematic biases were revealed for 9 commonly used method/analytical systems in the United States at low estradiol concentrations. Of the 9 analytical systems, 0, 0, 3, 7 and 6 met the HoSt criterion for the samples with estradiol at the five respective concentrations. PT evaluation showed that 59 %, 69 % and 87 % of laboratories would receive a PT event passing (satisfactory) score when the CDC-defined target and a criterion of NYSDOH, CLIA or BV was used, respectively. However, >95 % laboratories would obtain PT passing score if method peer-group means were used as targets regardless of the criterion used.

conclusionsImprovement in accuracy of estradiol measurements is needed, particularly at low estradiol concentrations. Accuracy-based PT provides unambiguous information about the accuracy of methods/analytical systems.

Indexed as

Clinical Laboratory ServicesLaboratory Proficiency TestingHumansLaboratoriesLaboratories, ClinicalReference StandardsUnited StatesAccuracyEstradiolProficiency testingStandardization

Identifiers

PMID38043696
PMCPMC11261451
OpenAlexW4389248045

What OpenQuestion holds

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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.