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Record W4414534128 · doi:10.1080/00224499.2025.2562579

Genitopelvic Pain: A Scoping Review of Studies in Minoritized Samples

2025· review· en· W4414534128 on OpenAlexafffund
Caroline F. Pukall, Olivia R. Adams, Melody Garas, Trinda L. Penniston, Gillian Akenson, Sophie Bergeron

Bibliographic record

VenueThe Journal of Sex Research · 2025
Typereview
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsUniversité de MontréalQueen's University
FundersCanadian Institutes of Health ResearchQueen's University
KeywordsPsychosocialHealth careCoping (psychology)Psychological interventionSexual orientationChronic pain

Abstract

fetched live from OpenAlex

Limited genitopelvic pain research has focused on racially/ethnically, sexually, and gender/sex minoritized samples despite its high prevalence among these groups. The aim of this scoping review was to examine genitopelvic pain research published on racially/ethnically, sexually, and gender/sex minoritized samples. After removal of duplicates, the abstracts of 1,330 articles were screened, and 974 were excluded. Of 356 remaining studies, 227 were included for data extraction. Results indicated that genitopelvic pain is common among minoritized groups, that they often fare worse in psychosocial and sexual wellbeing, and that they develop a variety of coping strategies. Also, some racially/ethnically minoritized groups report higher pain severity, describe their pain differently than detailed in clinical guidelines, and report medical mistrust in their healthcare interactions. In addition, sexually minoritized women who identify as bisexual or partner with men often reported higher frequency of pain. Most studies focused on cisgender women with genitopelvic pain; studies that focused on men were primarily concerned with anodyspareunia in cisgender men who have sex with men or with genitopelvic pain in trans men post gender-affirming surgery. Future work should inform the updating of existing clinical guidelines, frameworks, and validated measures in a culturally sensitive and inclusive manner.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.021
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.396
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.620
GPT teacher head0.605
Teacher spread0.016 · 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 teacher head, not a consensus.

Study designSystematic review
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

Citations5
Published2025
Admission routes2
Has abstractyes

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