Evidence map›Paper›PMID 35910411›Full record

ArticleJournal of mass spectrometry and advances in the clinical lab2022

Targeted metabolic profiling of urinary steroids with a focus on analytical accuracy and sample stability.

Nora Vogg, Tobias Müller, Andreas Floren, Thomas Dandekar, Oliver Scherf-Clavel, Martin Fassnacht, Matthias Kroiss, Max Kurlbaum

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of mass spectrometry and advances in the clinical lab, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
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

8 authors at 3 institutions in 1 country.

Nora VoggDepartment of Internal Medicine I, Division of Endocrinology and Diabetes, University Hospital Würzburg, Germany.
Tobias MüllerDepartment of Bioinformatics, Biocenter, Am Hubland, University of Würzburg, Germany.
Andreas FlorenDepartment of Bioinformatics, Biocenter, Am Hubland, University of Würzburg, Germany.
Thomas DandekarDepartment of Bioinformatics, Biocenter, Am Hubland, University of Würzburg, Germany.
Oliver Scherf-ClavelInstitute for Pharmacy and Food Chemistry, Am Hubland, University of Würzburg, Germany.
Martin FassnachtDepartment of Internal Medicine I, Division of Endocrinology and Diabetes, University Hospital Würzburg, Germany.
Matthias KroissDepartment of Internal Medicine I, Division of Endocrinology and Diabetes, University Hospital Würzburg, Germany.
Max KurlbaumDepartment of Internal Medicine I, Division of Endocrinology and Diabetes, University Hospital Würzburg, Germany.
University of Würzburg · DEUniversitätsklinikum Würzburg · DELudwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Preoperative diagnostic workup of adrenal tumors is based on imaging and hormone analyses, but charged with uncertainties. Steroid profiling by liquid chromatography tandem mass spectrometry (LC-MS/MS) in 24-h urine has shown potential to discriminate benign and malignant adrenal tumors. Our aim was to develop and validate a specific and accurate LC-MS/MS method for the quantification of deconjugated urinary marker steroids, to evaluate their pre-analytical stability and to apply the method to clinical samples of patients with adrenal tumors. Methods: A method for the quantification of 11 deconjugated steroids (5-pregnenetriol, dehydroepiandrosterone, cortisone, cortisol, α-cortolone, tetrahydro-11-deoxycortisol, etiocholanolone, pregnenolone, pregnanetriol, pregnanediol, and 5-pregnenediol) in human urine was developed and validated based on international guidelines. Steroids were enzymatically deconjugated and extracted by solid phase extraction before LC-MS/MS quantification in positive electrospray ionization mode. Results: Excellent linearity with R Conclusions: A sensitive and robust LC-MS/MS method for the quantification of 11 urinary steroids was developed and validated according to international guidelines. Pre-analytical matrix stability was evaluated and the suitability of the method for the analysis of clinical samples and prospective validation studies was shown.

Indexed as

5-PD, 5-pregnen-3β,20α-diol5-PT, 5-pregnen-3β,17,20α-triolACA, adrenocortical adenomaACC, adrenocortical carcinomaAdrenal tumorsAdrenocortical carcinomaDHEA, dehydroepiandrosteroneEtio, etiocholanoloneIS, internal standardLC–MS/MSLC-MS/MS, liquid chromatography tandem mass spectrometryLLOQ, lower limit of quantificationMass spectrometryMRM, multiple reaction monitoringPD, 5β-pregnan-3α,20α-diolPT, 5β-pregnan-3α,17,20α-triolQC, quality controlR2, coefficient of determinationSPE, solid phase extractionSteroid profilingULOQ, upper limit of quantificationUrinary steroids

Identifiers

PMID35910411
PMCPMC9334310
OpenAlexW4287511612

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.