ArticleBritish journal of biomedical science2026
Use of EQA for assessing variation in post-analytical interpretation of results using a clinical case of ?adrenal insufficiency taking into consideration variation in analytical performance of cortisol.
Article in British journal of biomedical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Laboratory medicine is evolving at a rapid rate, not only in terms of the repertoire of tests available and automation of the laboratory and procedures, but also in how laboratory data is used within "calculated tests," algorithms and guidelines. The goal is diagnostic and treatment improvements for the patient; however, there are real patient safety concerns if the limitations of what is often described as the "simple blood test" are not sufficiently understood and appreciated. The aim of this study was to investigate how laboratories take into consideration variation in cortisol assays when managing potential cases of adrenal insufficiency when they had a single cortisol measurement. For English laboratories also assessed compliance to NICE Guidance NG243 - "Adrenal insufficiency: identification and management," published in 2024. Materials and methods: The UK NEQAS for Steroid Hormones Scheme provides an External Quality Assessment (EQA) service for Cortisol. In December 2025, three serum specimens were distributed for cortisol analysis and interpretation based on a provided scenario - each specimen taken from a 25-year-old female at 08:30, clinical details - ?Adrenal insufficiency. Participants were required to interpret results into three categories - (1) Person may have adrenal insufficiency, (2) Probability of adrenal insufficiency uncertain or (3) Adrenal insufficiency very unlikely. Data has been evaluated based on the reported cortisol result and corresponding interpretation, broken down by manufacturer and location of laboratory. Results: Cortisol results were returned by ∼370 Participants with ∼300 interpretating their result. Specimen 536A had a cortisol of 122 nmol/L (SD 9 nmol/L, %CV 7.5%), 536B - 307 nmol/L (SD 24 nmol/L, %CV 7.8%) and 536C - 260 nmol/L (SD 19 nmol/L, %CV 7.2%) based on a mass spectrometry method mean (validated by a candidate reference method). According to NG243, these cortisol results should correspond to Codes (1), (3) and (2) respectively. As expected, there was variation in the cortisol result reported and the subsequent interpretation. Discussion: This study utilises EQA to look at the variation in cortisol measurement specifically in the context of identifying adrenal insufficiency. By linking post-analytical interpretation to the analytical measurement we have identified variation in both cortisol assays and interpretation of results.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.