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Record W4412618762 · doi:10.1093/sxmrev/qeaf032

Basic science and translational research: recommendations from the Fifth International Consultation for Sexual Medicine (ICSM 2024)

2025· review· en· W4412618762 on OpenAlexaff
Noel N. Kim, Hunter Wessells, Michael E. DiSanto, Mónica G. Ferrini, Guiting Lin, James G. Pfaus, Fernanda Priviero, Paul J. Yong, Carol A. Podlasek

Bibliographic record

VenueSexual Medicine Reviews · 2025
Typereview
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsBritish Columbia Centre of Excellence for Women's HealthUniversity of British Columbia
Fundersnot available
KeywordsSexual medicineTranslational scienceTranslational medicineAlternative medicineMedical educationTranslational researchMedicinePsychologyTraditional medicineFamily medicineGynecologyPathology

Abstract

fetched live from OpenAlex

INTRODUCTION: Sexual function is a critical issue for human health and impacts the quality of life of patients and their partners. In this ICSM report, basic science and translational perspectives have been examined from the past decade of literature since the last ICSM report, and have been integrated to produce a state of the art summary of the physiology and molecular biology of sexual function/dysfunction and development of novel nanotechnology-based vehicles and treatments to aid regeneration and clinical translation in men and women. OBJECTIVES: Examine, critically assess, and curate the most important and impactful basic and translational research findings on male and female sexual dysfunction since 2015. METHODS: Literature reviews were performed by a multidisciplinary committee of sexual medicine experts between June 2023 through May 2024. Findings were presented at the ICSM meeting in Madrid (June 2024), and comments from the consultation were incorporated to develop this consensus report. RESULTS: Erectile dysfunction (ED), which accompanies prostatectomy, diabetes, aging, and vascular disease in men, develops through both common and distinct mechanisms that involve neural injury, penile remodeling (smooth muscle (SM) apoptosis and increased collagen/fibrosis), dysregulated SM contractility, increased oxidative stress, immune response, and genomic instability. In women, disorders of genital pain, arousal, sexual desire, and orgasm involve multiple, overlapping neurological and endocrine mechanisms. Research on ED has been more extensive and the underlying molecular mechanisms have been better characterized than female sexual dysfunction. Future research directions should focus on pathways that underlie penile tissue remodeling and fibrosis associated with cavernous nerve injury in prostatectomy and diabetes, since this leads to irreversible ED. Particular emphasis should be placed on therapeutic targets to improve/enhance nerve regeneration, neuroprotection, "on demand" sexual function, SM contractility/relaxation, oxidative stress, immune response, and hormone function. In women, despite the existence of approved and off-label treatments for disorders of sexual desire and orgasm, the greater influence of psychosocial factors for these aspects of sexual function demands a multidisciplinary approach, along with predictive animal models. Genome-wide association studies have great potential in advancing the field but require replication and functional validation of findings from bioinformatic analyses. Progress in nanotechnology and regenerative therapies offers an exciting frontier in the targeted delivery of ameliorative/restorative treatments. CONCLUSIONS: Research in sexual medicine has expanded through accelerated rates of discovery and increased breadth and diversity. However, much work remains in translating preclinical findings into biomarkers and clinical therapies that can improve patient outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.182
metaresearch head score (Gemma)0.197
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.182
Threshold uncertainty score0.965

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1820.197
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0050.012
Bibliometrics0.0100.010
Science and technology studies0.0050.006
Scholarly communication0.0150.010
Open science0.0140.016
Research integrity0.0810.040
Insufficient payload (model declined to judge)0.0350.028

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.471
GPT teacher head0.534
Teacher spread0.064 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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