001     186555
005     20240229145750.0
024 7 _ |a 10.1515/cclm-2022-0603
|2 doi
024 7 _ |a pmid:36537103
|2 pmid
024 7 _ |a 1434-6621
|2 ISSN
024 7 _ |a 0939-4974
|2 ISSN
024 7 _ |a 1437-4331
|2 ISSN
024 7 _ |a altmetric:140363989
|2 altmetric
037 _ _ |a DKFZ-2023-00007
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Anker, Sophie C
|b 0
245 _ _ |a Verification of sex- and age-specific reference intervals for 13 serum steroids determined by mass spectrometry: evaluation of an indirect statistical approach.
260 _ _ |a Berlin [u.a.]
|c 2022
|b De Gruyter
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1675344520_2339
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a 2022 Dec 20;61(3):452-463
520 _ _ |a Conventionally, reference intervals are established by direct methods, which require a well-characterized, obviously healthy study population. This elaborate approach is time consuming, costly and has rarely been applied to steroid hormones measured by mass spectrometry. In this feasibility study, we investigate whether indirect methods based on routine laboratory results can be used to verify reference intervals from external sources.A total of 11,259 serum samples were used to quantify 13 steroid hormones by mass spectrometry. For indirect estimation of reference intervals, we applied a 'modified Hoffmann approach', and verified the results with a more sophisticated statistical method (refineR). We compared our results with those of four recent studies using direct approaches.We evaluated a total of 81 sex- and age-specific reference intervals, for which at least 120 measurements were available. The overall agreement between indirectly and directly determined reference intervals was surprisingly good as nearly every fourth reference limit could be confirmed by narrow tolerance limits. Furthermore, lower reference limits could be provided for some low concentrated hormones by the indirect method. In cases of substantial deviations, our results matched the underlying data better than reference intervals from external studies.Our study shows for the first time that indirect methods are a valuable tool to verify existing reference intervals for steroid hormones. A simple 'modified Hoffmann approach' based on the general assumption of a normal or lognormal distribution model is sufficient for screening purposes, while the refineR algorithm may be used for a more detailed analysis.
536 _ _ |a 311 - Zellbiologie und Tumorbiologie (POF4-311)
|0 G:(DE-HGF)POF4-311
|c POF4-311
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
650 _ 7 |a liquid-chromatography
|2 Other
650 _ 7 |a liquid–liquid-extraction
|2 Other
650 _ 7 |a mass spectrometry
|2 Other
650 _ 7 |a reference intervals
|2 Other
650 _ 7 |a steroids
|2 Other
700 1 _ |a Morgenstern, Jakob
|b 1
700 1 _ |a Adler, Jakob
|b 2
700 1 _ |a Brune, Maik
|b 3
700 1 _ |a Brings, Sebastian
|b 4
700 1 _ |a Fleming, Thomas
|b 5
700 1 _ |a Kliemank, Elisabeth
|b 6
700 1 _ |a Zorn, Markus
|b 7
700 1 _ |a Fischer, Andreas
|0 P:(DE-He78)039283a5d51058ec79156d0ef67132da
|b 8
|u dkfz
700 1 _ |a Szendroedi, Julia
|b 9
700 1 _ |a Kihm, Lars
|b 10
700 1 _ |a Zemva, Johanna
|b 11
773 _ _ |a 10.1515/cclm-2022-0603
|g Vol. 0, no. 0
|0 PERI:(DE-600)1492732-9
|n 3
|p 452-463
|t Clinical chemistry and laboratory medicine
|v 61
|y 2022
|x 1434-6621
909 C O |p VDB
|o oai:inrepo02.dkfz.de:186555
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 8
|6 P:(DE-He78)039283a5d51058ec79156d0ef67132da
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-311
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Zellbiologie und Tumorbiologie
|x 0
914 1 _ |y 2022
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2022-11-10
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2022-11-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2022-11-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2022-11-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2022-11-10
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2022-11-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2022-11-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2022-11-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2022-11-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2022-11-10
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b CLIN CHEM LAB MED : 2021
|d 2022-11-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2022-11-10
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2022-11-10
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b CLIN CHEM LAB MED : 2021
|d 2022-11-10
920 1 _ |0 I:(DE-He78)A270-20160331
|k A270
|l A270 Vaskuläre Signaltransduktion und Krebs
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)A270-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21