Evidence map›Paper›PMID 39527161›Full record

ReviewCurrent urology reports2024

Enhancing Male Fertility Through AI-Based Management of Varicoceles.

Zhongwei Huang, Germar-M Pinggera, Ashok Agarwal

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current urology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Zhongwei HuangDepartment of Obstetrics & Gynaecology, National University Hospital, Singapore, Singapore.ORCID http://orcid.org/0000-0002-4061-9321
Germar-M PinggeraDepartment of Urology, Innsbruck Medical University, Innsbruck, Austria.ORCID http://orcid.org/0000-0001-6463-2494
Ashok AgarwalGlobal Andrology Forum, Moreland Hills, OH, 44022, USA. agarwaa32099@outlook.com.ORCID http://orcid.org/0000-0003-0585-1026

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

review purposeThe clinical management of subclinical and symptomatic varicoceles in male infertility remains challenging. Current guidelines focus on treating men with abnormal semen analyses, but a more precise approach to identify, stratify, and prognosticate men with varicoceles and fertility issues is essential. RECENT

findingsMultiple studies have utilized Artificial Intelligence (AI) to analyze clinical-demographic characteristics, semen analyses, pre-operative imaging findings, and intra-operative clinical data. These AI-driven approaches aim to discover novel biomarkers that can assess, stratify, and prognosticate men with subclinical and symptomatic varicoceles requiring early intervention. These sophisticated methodologies offer new insights and strategies for understanding normal spermatogenesis and the pathophysiology of varicocele-related male infertility. The application of AI strategies is expected to revolutionize varicocele management, enhancing male fertility and optimizing reproductive outcomes.

Indexed as

Artificial IntelligenceInfertility, MaleVaricoceleHumansMaleSemen AnalysisArtificial Intelligence and Machine LearningMale infertilityPrecision MedicineSemen qualitySubclinical varicoceleSymptomatic varicoceleVaricocelectomy

Identifiers

PMID39527161

What OpenQuestion holds

Textmetadata
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.