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Record W121633407

McGill pain questionnaire findings among women with vulvodynia and chronic yeast infection.

2008· article· en· W121633407 on OpenAlexaboutno aff
Natalie A. Saunders, Barbara D. Reed, Hope K. Haefner

Bibliographic record

VenuePubMed · 2008
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsnot available
Fundersnot available
KeywordsVulvodyniaMcGill Pain QuestionnaireMedicinePhysical therapyGynecologyPelvic painVisual analogue scaleSurgery
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine whether patients referred for vulvar pain or candidiasis had different characteristics of pain as measured by the McGill Pain Scale or the number of McGill categories chosen. STUDY DESIGN: Data were collected at the University of Michigan Center for Vulvar Diseases between April 1998 and March 2003. The association between the McGill pain score and the number of McGill categories selected with the diagnostic categories of vestibulodynia, generalized vulvodynia and chronic yeast infections were evaluated. RESULTS: A total of 196 women presented with vulvodynia (105 women with vestibulodynia, 91 women with generalized vulvodynia) and 50 women presented with Candida vulvovaginitis. The vulvodynia groups had McGill scores and numbers of categories selected that were increased compared with the Candida group (24.16+/-13.03 and 24.37+/-12.82 vs. 16.20+/-10.21 for the McGill score, p<0.001, and 9.22+/-4.11 and 9.87+/-4.44 vs. 7.30+/-3.70 for the numbers of categories selected, p = 0.002). CONCLUSION: Patients presenting with complaints of a yeast infection have a statistically lower McGill pain score and McGill pain indicators compared with patients with vulvar pain.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.209
Teacher spread0.190 · 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 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

Citations4
Published2008
Admission routes1
Has abstractyes

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