MétaCan
Menu
Back to cohort
Record W2094925594 · doi:10.1111/head.12271

Evaluation of the Frequency and the Association of Sexual Pain and Chronic Headaches

2013· article· en· W2094925594 on OpenAlexaff
Allan Gordon, Denise Paneduro, Leah Pink, Valerie Lawler, Christine Lay

Bibliographic record

VenueHeadache The Journal of Head and Face Pain · 2013
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsWomen's College HospitalYork UniversityMount Sinai Hospital
Fundersnot available
KeywordsLibidoHeadachesMedicineChronic painPelvic painSexual dysfunctionPopulationPhysical therapyReproductive healthSexual abuseSexual desirePsychiatryInternal medicineHuman sexualitySurgeryPoison control

Abstract

fetched live from OpenAlex

BACKGROUND: Sexual pain and chronic headaches are both complex conditions with associated high disability. Little research has examined whether there is a relationship between the 2. The aim of this survey-based study was to explore the frequency of sexual pain in a population of women being treated for chronic headache. Peripheral aims included exploring the number of patients receiving treatment for sexual pain and the association between sexual pain and libido, and history of abuse. METHODS: Patients presenting to an ambulatory chronic headache clinic were administered a short 10-item survey. RESULTS: Forty-four percent of patients reported that they had pelvic region or genital pain brought on by sexual activity. Only half of these patients had ever discussed their pelvic pain with a health care provider, and 31% of these patients had not received treatment. Almost all patients would be interested in treatment if available. Seventy-five percent of patients indicated a change in libido. CONCLUSION: Chronic headaches and sexual pain are both conditions that have a significant impact on patients and the health care system, and they do coexist. More research is needed to look at the relationship between these conditions in addition to epidemiology, symptomatology, evaluation, and treatments.

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)0.020
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.255
Threshold uncertainty score0.710

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0200.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.040
GPT teacher head0.294
Teacher spread0.254 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations3
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueHeadache The Journal of Head and Face PainSame topicSexual function and dysfunction studiesFrench-language works237,207