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Record W7135547958

The effectiveness of physiotherapeutic intervention on primary dysmenorrhea.

2023· dissertation· cs· W7135547958 on OpenAlexaboutno aff
Eliška Němečková

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2023
Typedissertation
Languagecs
FieldMedicine
TopicMenstrual Health and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsIntervention (counseling)DistressPsychological interventionManual therapyMcGill Pain QuestionnaireMassage
DOInot available

Abstract

fetched live from OpenAlex

Title: Effectivness of physiotherapeutic intervention on primary dysmenorrhea therapy Objectives: The aim of this study is to determine the effectiveness of a twelve-week physiotherapy intervention including manual therapy according to dysmenorrhea. Methods: This experimental study evaluates the benefits of physiotherapeutic intervention in women with primary dysmenorrhea. Female probands suffering from primary dysmenorrhea were selected and randomly divided into two groups. Two standardized qualitative questionnaires, Menstrual Distress Questionnaire and Short-Form McGill Pain Questionnaire were used to assess dysmenorrhea and the effect of therapy at the beginning of the experiment and at the end of the experiment after three months. During these months, three physiotherapy interventions were performed, which included examination and treatment by joint mobilisation series and examination and treatment of the pelvic floor muscles The control group did not undergo any treatment of primary dysmenorrhea for three months. Results: Differences in the income and outcome values of the Menstrual Distress Questionnaire and pain descriptors from the Short-Form McGill Questionnaire in probands who underwent the intervention were statistically significant (p <0.05). The differences in the mean values of the...

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.742
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.010
GPT teacher head0.300
Teacher spread0.291 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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Same venueDigital Repository (National Repository of Grey Literature)Same topicMenstrual Health and DisordersFrench-language works237,207