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Record W2562312736

Comparison the Effect of Mefenamic Acid and Matricaria Chamomilla on Primary Dysmenorrhea in Kashan Medical University Students

2013· article· en· W2562312736 on OpenAlexaboutno aff
Zahra Karimian, Zohreh Sadat, N. Sarafraz, Mahboobeh Kafaei Atrian, Nosrat Bahrami

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2013
Typearticle
Languageen
FieldMedicine
TopicMenstrual Health and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMatricaria chamomillaMefenamic acidMedicineTraditional medicinePrimary (astronomy)PharmacologyPhysics
DOInot available

Abstract

fetched live from OpenAlex

Background & Objectives: Regarding to high incidence of dysmenorrhea and influence on daily activities and fewer side effects of herbal medicines than chemical drugs, the aim of this study was to compare the effect of mefenamic acid and matricaria chamomilla (MC) on primary dysmenorrhea. Methods: This triple-blind randomized clinical trial study was done on 90 female students residents in dormitories of Kashan University of Medical Sciences in 2012. The subjects were categorized into two groups randomly. Mefenamic acid capsules (250 mg, every 8 hours) were given to the first group from 48 hours before menstruation until 24 hours after it. The second group received MC capsules made in Barij Essence Factory of Kashan (250 mg, every 8 hours). Severity of dysmenorrhea was measured by McGill ruler. Finally, the data were analyzed by SPSS. The chi-squire, fisher and paired t-test were used. The p-value of less than 0.05 was considered as statistically significant difference. Results: The result of this study indicated that both chamomilla and mefenamic acid can reduce the severity of pain and hemorrhage (p<0.05) but there was no significant difference between two groups (p>0.05). Conclusion: This study showed that matricaria chamomilla is effective in decreasing the severity of primary dysmenorrhea and reducing hemorrhage as well as mefenamic acid.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.118
GPT teacher head0.550
Teacher spread0.432 · 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

Citations3
Published2013
Admission routes1
Has abstractyes

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