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Record W4386373177 · doi:10.4328/acam.21780

Comparison of the effectiveness of transverse friction massage and thiele massage in female patients with chronic pelvic pain

2023· article· en· W4386373177 on OpenAlexaboutno aff
Sena Öndeş, Aybüke Ersin

Bibliographic record

VenueThe Annals of Clinical and Analytical Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMassageMedicinePelvic painPhysical therapyTransverse planeTransverse diameterSurgeryAlternative medicineAnatomy

Abstract

fetched live from OpenAlex

Aim: This study aimed to investigate and compare the effectiveness of transverse friction massage and Thiele massage applied to the pelvic floor muscles in female patients with chronic pelvic pain.Material and Methods: Twenty patients were divided into two groups of 10 people each: the transverse friction group and the Thiele massage group. Patients received transverse friction massage or Thiele Massage 2 days a week for 4 weeks. Measured parameters were pain, quality of life, sexual functions, and lower urinary tract symptoms. Visual Analog Scale and Mcgill Melzack Pain Questionnaire, Nottingham Health Profile, Female Sexual Function Index, and Bristol Female Lower Urinary Tract Symptoms Questionnaire were used to evaluate parameters, respectively.Results: Statistically significant improvements were observed in all parameters in the transverse friction massage group (p<0.05) and all parameters except sexual functions improved significantly in the Thiele group compared to pre-treatment (p<0.05). When the two groups were compared with each other, no statistically significant difference was found in any of the parameters between the groups (p>0.05).Discussion: Transverse friction massage and Thiele massage applied to the pelvic floor muscles in patients with chronic pelvic pain are easily applicable noninvasive treatment methods that can reduce the symptoms of the disease and increase the quality of life.

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)0.004
metaresearch head score (Gemma)0.001
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 score0.011
Threshold uncertainty score0.481

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.189
GPT teacher head0.472
Teacher spread0.284 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

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