Evidence map›Paper›PMID 31294783›Full record

ArticleEndocrine reviews2019

Steroid Metabolome Analysis in Disorders of Adrenal Steroid Biosynthesis and Metabolism.

Karl-Heinz Storbeck, Lina Schiffer, Elizabeth S Baranowski, Vasileios Chortis, Alessandro Prete, Lise Barnard, Lorna C Gilligan, Angela E Taylor, Jan Idkowiak, Wiebke Arlt and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Endocrine reviews, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
9.4field-weighted citation impact, top 1% 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

58 citing papers in PubMed, 1 synthesis or guideline pooled it, 131 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Modified-Release Hydrocortisone in Congenital Adrenal Hyperplasia.The Journal of clinical endocrinology and metabolism · 2021
    Trial
  5. Article
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  7. Approach to the patient: investigation of postmenopausal androgen excess.The Journal of clinical endocrinology and metabolism · 2026
    Review
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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

11 authors at 5 institutions in 3 countries.

Karl-Heinz StorbeckDepartment of Biochemistry, Stellenbosch University, Stellenbosch, South Africa.
Lina SchifferInstitute of Metabolism and Systems Research, University of Birmingham, Birmingham, United Kingdom.
Elizabeth S BaranowskiInstitute of Metabolism and Systems Research, University of Birmingham, Birmingham, United Kingdom.
Vasileios ChortisInstitute of Metabolism and Systems Research, University of Birmingham, Birmingham, United Kingdom.
Alessandro PreteInstitute of Metabolism and Systems Research, University of Birmingham, Birmingham, United Kingdom.
Lise BarnardDepartment of Biochemistry, Stellenbosch University, Stellenbosch, South Africa.
Lorna C GilliganInstitute of Metabolism and Systems Research, University of Birmingham, Birmingham, United Kingdom.
Angela E TaylorInstitute of Metabolism and Systems Research, University of Birmingham, Birmingham, United Kingdom.
Jan IdkowiakInstitute of Metabolism and Systems Research, University of Birmingham, Birmingham, United Kingdom.
Wiebke ArltInstitute of Metabolism and Systems Research, University of Birmingham, Birmingham, United Kingdom.
Cedric H L ShackletonInstitute of Metabolism and Systems Research, University of Birmingham, Birmingham, United Kingdom.
University Hospitals Birmingham NHS Foundation Trust · GBUniversity of Birmingham · GBBirmingham Women’s and Children’s NHS Foundation Trust · GBStellenbosch University · ZAUCSF Benioff Children's Hospital · US

Funding

Medical Research Council G1001964Medical Research Council MR/R017913/1
6 · The paper itself

Abstract

Steroid biosynthesis and metabolism are reflected by the serum steroid metabolome and, in even more detail, by the 24-hour urine steroid metabolome, which can provide unique insights into alterations of steroid flow and output indicative of underlying conditions. Mass spectrometry-based steroid metabolome profiling has allowed for the identification of unique multisteroid signatures associated with disorders of steroid biosynthesis and metabolism that can be used for personalized approaches to diagnosis, differential diagnosis, and prognostic prediction. Additionally, steroid metabolome analysis has been used successfully as a discovery tool, for the identification of novel steroidogenic disorders and pathways as well as revealing insights into the pathophysiology of adrenal disease. Increased availability and technological advances in mass spectrometry-based methodologies have refocused attention on steroid metabolome profiling and facilitated the development of high-throughput steroid profiling methods soon to reach clinical practice. Furthermore, steroid metabolomics, the combination of mass spectrometry-based steroid analysis with machine learning-based approaches, has facilitated the development of powerful customized diagnostic approaches. In this review, we provide a comprehensive up-to-date overview of the utility of steroid metabolome analysis for the diagnosis and management of inborn disorders of steroidogenesis and autonomous adrenal steroid excess in the context of adrenal tumors.

Indexed as

MetabolomeAdrenal Gland DiseasesDiagnosis, DifferentialHumansSteroid Metabolism, Inborn Errors

Identifiers

PMID31294783
PMCPMC6858476
OpenAlexW2960176468

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.