TY - JOUR
T1 - Improving Science by Overcoming Laboratory Pitfalls With Hormone Measurements
AU - Hillebrand, Jacquelien J.
AU - Wickenhagen, Wjera V.
AU - Heijboer, Annemieke C.
N1 - Publisher Copyright: © 2020 The Author(s) 2020. Published by Oxford University Press on behalf of the Endocrine Society. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/4/1
Y1 - 2021/4/1
N2 - Despite all the effort taken, there is often surprisingly little attention paid to the hormone analyses involved in research studies. Thinking carefully about the quality of the hormone measurements in these studies is, however, of major importance, as this attention to methods may prevent false conclusions and inappropriate follow-up studies. We discuss issues regarding hormone measurements that one should consider, ideally prior to starting, or otherwise, as they arise during a scientific study: quality of the technique, expertise, matrices, timing and storage conditions, freeze-thaw cycles, lot-to-lot and day-to-day variation, analyses per batch or sample-wise, singlicate or duplicate measurements, combining methods, and standardization. This article and the examples mentioned herein aim to clarify the need to pay attention to the hormone analyses, and to help in making decisions. In addition, these examples help editors and reviewers of scientific journals to pay attention to the methods section in the submitted manuscripts and ask the right critical questions when needed.
AB - Despite all the effort taken, there is often surprisingly little attention paid to the hormone analyses involved in research studies. Thinking carefully about the quality of the hormone measurements in these studies is, however, of major importance, as this attention to methods may prevent false conclusions and inappropriate follow-up studies. We discuss issues regarding hormone measurements that one should consider, ideally prior to starting, or otherwise, as they arise during a scientific study: quality of the technique, expertise, matrices, timing and storage conditions, freeze-thaw cycles, lot-to-lot and day-to-day variation, analyses per batch or sample-wise, singlicate or duplicate measurements, combining methods, and standardization. This article and the examples mentioned herein aim to clarify the need to pay attention to the hormone analyses, and to help in making decisions. In addition, these examples help editors and reviewers of scientific journals to pay attention to the methods section in the submitted manuscripts and ask the right critical questions when needed.
KW - immunoassay
KW - mass spectrometry
KW - matrix
KW - pre-analysis
KW - quality
KW - technique
UR - http://www.scopus.com/inward/record.url?scp=85103607139&partnerID=8YFLogxK
U2 - https://doi.org/10.1210/clinem/dgaa923
DO - https://doi.org/10.1210/clinem/dgaa923
M3 - Review article
C2 - 33382880
SN - 0021-972X
VL - 106
SP - e1504-e1512
JO - Journal of Clinical Endocrinology and Metabolism
JF - Journal of Clinical Endocrinology and Metabolism
IS - 4
ER -