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Record W1749313289

The effects of massage therapy on dysmenorrhea caused by endometriosis.

2010· article· en· W1749313289 on OpenAlexaboutno aff
Mahboubeh Valiani, Niloofar Ghasemi, Parvin Bahadoran, Reza Heshmat

Bibliographic record

VenuePubMed · 2010
Typearticle
Languageen
FieldMedicine
TopicMenstrual Health and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsEndometriosisMedicineMassageIntervention (counseling)Physical therapyVisual analogue scaleClinical trialPelvic painInfertilityDanazolMenstruationQuality of life (healthcare)Alternative medicineSurgeryGynecologyInternal medicineNursingPregnancy
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Studying women's quality of life, we come across some harmful effects that factor such as dysmenorrhea caused by endometriosis leaves on their lives, their ability to work, their familial relations, and their self-confidence. Due to the repeated medical follow-ups and the side effects of medical therapies and endometriosis surgeries, many patients tend to use less expensive, nonmedical, and nonaggressive methods. The present study aimed to assess the effects of massage therapy, one of the aforementioned methods on endometriosis caused dysmenorrhea. METHODS: This was a semi-empirical clinical trial. Considering inclusion criteria, 23 patients suffering from endometriosis visited the Infertility Center of Isfahan, who were later confirmed by laparoscopy or laparotomy were picked as the sample through a simple method. The visual analog scale and McGill questionnaires were used once before and twice after the end of intervention for each patient. The data were analyzed using SPSS software. RESULTS: There was a statistically significant difference between the intensity of pain before the intervention started, immediately after, and also six weeks after it (p < 0.001). CONCLUSIONS: According to the results of this study and confirmations of other ones, it seems that massage therapy can be a fitting method to reduce the menstrual pain caused by endometriosis.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.956
Threshold uncertainty score0.246

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.011
GPT teacher head0.252
Teacher spread0.241 · 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 designOther design
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

Citations12
Published2010
Admission routes1
Has abstractyes

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