Evidence map›Paper›PMID 34992580›Full record

ArticleFrontiers in endocrinology2021

FSHB Genotype Identified as a Relevant Diagnostic Parameter Revealed by Cluster Analysis of Men With Idiopathic Infertility.

Henrike Krenz, Andrea Sansone, Sabine Kliesch, Joerg Gromoll, Maria Schubert

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Henrike KrenzInstitute of Medical Informatics, University of Münster, Münster, Germany.
Andrea SansoneDepartment of Systems Medicine, Chair of Endocrinology and Medical Sexology, University of Rome Tor Vergata, Rome, Italy.
Sabine KlieschDepartment of Clinical and Surgical Andrology, Centre of Reproductive Medicine and Andrology (CeRA), University of Münster, Münster, Germany.
Joerg GromollInstitute of Reproductive and Regenerative Biology, Centre of Reproductive Medicine and Andrology (CeRA), University of Münster, Münster, Germany.
Maria SchubertDepartment of Clinical and Surgical Andrology, Centre of Reproductive Medicine and Andrology (CeRA), University of Münster, Münster, Germany.
University of Münster · DEUniversity of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction and Objectives: About 30-75% of infertile men are diagnosed with idiopathic infertility, thereby lacking major causative factors to explain their impaired fertility status. In this study, we used a large cohort of idiopathic infertile men to determine whether subgroups could be identified by an unbiased clustering approach and whether underlying etiologic factors could be delineated. Patients and Methods: From our in-house database Androbase Results: The applied cluster approach for the whole study population yielded two separate clusters, which showed significantly different distributions in bi-testicular volume, FSH and Conclusion: With this first unbiased approach for revealing putative subgroups within a heterogenous group of idiopathic infertile men, we did indeed identify distinct patient clusters. Surprisingly, across all diverse phenotypes of infertility, the strongest segregation markers were

Indexed as

GenotypeAdultCluster AnalysisCohort StudiesFollicle Stimulating Hormone, beta SubunitHumansInfertility, MaleMaleRetrospective StudiesFollicle Stimulating Hormone, beta SubunitclusterFSHB c.-211 G>T polymorphismFSH (follicle stimulating hormone)idiopathic male infertilitysegregation marker

Identifiers

PMID34992580
PMCPMC8725293
OpenAlexW4200093706

What OpenQuestion holds

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Registered trials

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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.