Evidence map›Paper›PMID 33512657›Full record

ReviewEndocrine2021

ENDO-ERN expert opinion on the differential diagnosis of pubertal delay.

Luca Persani, Marco Bonomi, Martine Cools, Mehul Dattani, Leo Dunkel, Claus H Gravholt, Anders Juul

Abstract readReview
In one paragraph

Review in Endocrine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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, 2 syntheses or guidelines pooled it.

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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

7 authors.

Luca PersaniDepartment of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy. luca.persani@unimi.it.ORCID http://orcid.org/0000-0003-2068-9581
Marco BonomiDepartment of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy.
Martine CoolsDepartment of Internal Medicine and Pediatrics, Ghent University and Pediatric Endocrinology Service, Ghent University Hospital, Ghent, Belgium.
Mehul DattaniGenetics and Genomic Medicine Research and Teaching Programme, UCL GOS Institute of Child Health, London, UK.
Leo DunkelCentre for Endocrinology, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, EC1M 6BQ, London, UK.
Claus H GravholtDepartment of Endocrinology, Aarhus University Hospital, Aarhus, Denmark.
Anders JuulDepartment of Growth and Reproduction, University of Copenhagen, Rigshospitalet, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The differential diagnoses of pubertal delay include hypergonadotropic hypogonadism and congenital hypogonadotropic hypogonadism (CHH), as well as constitutional delay of growth and puberty (CDGP). Distinguishing between CDGP and CHH may be challenging, and the scientific community has been struggling to develop diagnostic tests that allow an accurate differential diagnosis. Indeed, an adequate and timely management is critical in order to enable optimal clinical and psychosocial outcomes of the different forms of pubertal delays. In this review, we provide an updated insight on the differential diagnoses of pubertal delay, including the available tests, their meanings and accuracy, as well as some clues to effectively orientate towards either constitutional pubertal delay or pathologic CHH and hypergonadotropic hypogonadism.

Indexed as

HypogonadismPuberty, DelayedDiagnosis, DifferentialGrowth DisordersHumansConstitutional delay of growth and pubertyGonadal dysgenesisHypogonadismPrimary ovarian insufficiencyPubertal delaySex steroid priming

Identifiers

PMID33512657
PMCPMC8016789

What OpenQuestion holds

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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.