Evidence map›Paper›PMID 32961560›Full record

ArticleThe Journal of clinical endocrinology and metabolism2020

Hormone References for Ultrasound Breast Staging and Endocrine Profiling to Detect Female Onset of Puberty.

Andre Madsen, Ingvild S Bruserud, Bjørn-Erik Bertelsen, Mathieu Roelants, Ninnie Helen Bakken Oehme, Kristin Viste, Robert Bjerknes, Bjørg Almås, Karen Rosendahl, Gunnar Mellgren and 2 more

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 2 countries.

Andre MadsenHormone Laboratory, Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway.
Ingvild S BruserudDepartment of Clinical Science, University of Bergen, Bergen, Norway.
Bjørn-Erik BertelsenHormone Laboratory, Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway.
Mathieu RoelantsEnvironment and Health, Department of Public Health and Primary Care, KU Leuven, University of Leuven, Leuven, Belgium.
Ninnie Helen Bakken OehmeDepartment of Clinical Science, University of Bergen, Bergen, Norway.
Kristin VisteHormone Laboratory, Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway.
Robert BjerknesDepartment of Clinical Science, University of Bergen, Bergen, Norway.
Bjørg AlmåsHormone Laboratory, Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway.
Karen RosendahlDepartment of Radiology, University Hospital of North Norway, Tromsø, Norway.
Gunnar MellgrenHormone Laboratory, Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway.
Jørn V SagenHormone Laboratory, Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway.
Petur B JuliussonDepartment of Clinical Science, University of Bergen, Bergen, Norway.
Haukeland University Hospital · NOKU Leuven · BENorwegian Institute of Public Health · NOUniversity Hospital of North Norway · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextApplication of ultrasound (US) to evaluate attainment and morphology of glandular tissue provides a new rationale for evaluating onset and progression of female puberty, but currently no hormone references complement this method. Furthermore, previous studies have not explored the predictive value of endocrine profiling to determine female puberty onset.

objectiveTo integrate US breast staging with hypothalamic-pituitary-gonadal hormone references and test the predictive value of an endocrine profile to determine thelarche. DESIGN SETTING AND

participantsCross-sectional sample of 601 healthy Norwegian girls, ages 6 to 16 years.

main outcome measuresClinical and ultrasound breast evaluations were performed for all included girls. Blood samples were analyzed by immunoassay and ultrasensitive liquid chromatography-tandem mass spectrometry (LC-MS/MS) to quantify estradiol (E2) and estrone (E1) from the subpicomolar range.

resultsReferences for E2, E1, luteinizing hormone, follicle-stimulating hormone, and sex hormone-binding globulin were constructed in relation to chronological age, Tanner stages, and US breast stages. An endocrine profile index score derived from principal component analysis of these analytes was a better marker of puberty onset than age or any individual hormone, with receiver-operating characteristic area under the curve 0.91 (P < 0.001). Ultrasound detection of nonpalpable glandular tissue in 14 out of 264 (5.3%) girls with clinically prepubertal presentation was associated with significantly higher median serum levels of E2 (12.5 vs 4.9 pmol/L; P < 0.05) and a distinct endocrine profile (arbitrary units; P < 0.001).

conclusionsWe provide the first hormone references for use with US breast staging and demonstrate the application of endocrine profiling to improve detection of female puberty onset.

Indexed as

AdolescentBreastChildCross-Sectional StudiesDiagnostic Techniques, EndocrineEstradiolFemaleFollicle Stimulating HormoneGonadal HormonesHumansLuteinizing HormoneNorwayPredictive Value of TestsPubertyReference ValuesSex Hormone-Binding GlobulinEstradiolFollicle Stimulating HormoneGonadal HormonesLuteinizing HormoneSex Hormone-Binding Globulinestrogenfemale pubertyhormonespediatric endocrinologyprincipal component analysisreferences

Identifiers

PMID32961560
PMCPMC7571452
OpenAlexW3089064006

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.