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Avaliação do efeito da manipulação fascial no tratamento da dispareunia feminina: série de casos

2025· article· en· W4414602793 on OpenAlexfundaboutno aff
Regina Fernandes Amaro, Helena Moreira, Paula Clara Santos, Ronaldo Gabriel

Bibliographic record

VenueRevista Pesquisa em Fisioterapia · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMyofascial pain diagnosis and treatment
Canadian institutionsnot available
FundersMcGill University
KeywordsMcGill Pain QuestionnaireMyofascial releaseRating scaleNormalityPelvic painPelvic floorStatistical analysisIntervention (counseling)

Abstract

fetched live from OpenAlex

INTRODUCTION: Pelvic pain affects approximately 30% of sexually active women, and among them, around 50% report experiencing dyspareunia. The goal of treatment is to monitor the progression of pain symptoms of musculoskeletal and myofascial origin, aiming to improve the patients' quality of life. OBJECTIVE: The aim of this study is to describe the effects of fascial manipulation according to the Stecco Method, combined with perineal massage, on pain intensity, sexual function, psychological risk levels for stress, depression, and anxiety, as well as on pain characteristics and pelvic floor muscle strength. METHOD: The sample consisted of seven women participating in a postpartum recovery program, all diagnosed with dyspareunia and undergoing a three-month intervention. The assessment instruments used were the Numeric Pain Rating Scale (NPRS), the McGill Pain Questionnaire, the FSFI-19, the DASS-21 scale, and the Modified Oxford Scale. Participants were evaluated at three distinct time points: M0 (before the intervention – at the time of diagnosis), M1 (one month after the start of the intervention), and M2 (three months after the start of the intervention). A descriptive statistical analysis was conducted using the absolute and relative frequencies of the data collected. To verify the normality of the data, the Shapiro-Wilk test was used. RESULTS: The results reported reductions in pain between time points M0–M1 and M0–M2. In the McGill Pain Questionnaire, a gradual decrease in pain was observed from M0 to M2. In the FSFI-19, the "pain" item showed improvement between M0 and M1, while the "satisfaction" item showed a decrease between M0 and M2. The "total" score of the scale showed a slight increase over the three time points. In the DASS-21 scale, the most notable reduction was in the "stress" item, decreasing from 8.3 at M0 to 5.0 at M2. Finally, in the Modified Oxford Scale, 71.4% of the participants presented low-intensity contractions at M0. At M1 and M2, there was a predominance of more satisfactory contraction intensity, with 42.9% of participants reaching grades 3 and 28.6% grade 4 at M1, and 42.9% reaching grade 3 and another 42.9% grade 4 at M2. CONCLUSION: The combination of fascial manipulation and perineal massage applied in the treatment of dyspareunia resulted in a decrease in pain intensity and characteristics, reduced stress levels, increased pelvic floor muscle strength, and improvements in the "satisfaction" and "pain" items, as well as a reduction in the total scale score.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
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 head0.014
GPT teacher head0.290
Teacher spread0.277 · 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 designCase report
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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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