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Enregistrement W1968500629

Management of Post Menstrual Syndromes: From Traditional Knowledge to Evidence-Based Medicine

2013· article· en· W1968500629 sur OpenAlexvenueno aff
Mohamad Fawzi Mahomoodally

Notice bibliographique

RevueInternational Journal of Biotechnology for Wellness Industries · 2013
Typearticle
Langueen
DomaineMedicine
ThématiqueBiological and pharmacological studies of plants
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineTraditional medicineBlack cohoshKavaAlternative medicineMenstruationMedicinal plantsMenopauseInternal medicine
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Plants were and are still widely used for a number of pathologies affecting women health, particularly post menstrual syndromes (PMS). PMS refers to a diverse set of clinical symptoms and nearly omnipresent in the woman of reproductive age and can impinge on women's interpersonal relationships, social behavior, work absenteeism, and work productivity [1]. In addition to conventional FDA approved drugs, a plethora of other selections are imperative to reflect on for women who prefer natural alternative and complementary therapies or for whom conventional remedies are contraindicated [2]. Indeed, prior to the introduction of modern therapy, a panoply of medicinal herbs such as Kacip Fatima, Vitex, Yam, Licorice, Alfalfa, Chamomile, Dong-Quai, Evening Primrose, Ginkgo, Water-Willow and Cohosh have been used predominantly to treat or relief PMS. Traditional Chinese medicine has been prescribing herbs and herbal formulas since time immemorial; for instance Angelica (Dang Gui) has been widely used by Chinese and Japanese women for centuries. It is well-known for regulating menstrual cycles, eliminating the discomfort of premenstrual syndromes, and relieving menstrual cramps. Medicinal plants thus tend to represent a safe alternative to current hormone or drug therapy used to manage PMS symptoms. Many of these herbals formulas were geared towards regulating hormonal cycle and some recently being reported to have estrogen and/or progesterone-like effects [3-5]. Other less popular herbs that have been used successfully to decrease nervous tension include passion-flower, valerian, oatgrass, lemon-balm and skull-cap [6]. One phytotherapeutic combination; dandelion root/leaf- Taraxum officinale, milk or blessed thistle- Cnicus benedictus, Vitex- Vitex agnus-castus, black or blue Cohosh- Cimcifuga racemosa and Caulophylum thalictroides, Dong-Quai - Angelica sinensis and wild-Yam - Dioscorea villosa, is prescribed by phytotherapists and/or traditional healers as a polyherbal tea (1 tsp. of the herbal formula, one part each, in 1 cup of boiling water thrice daily) or in tincture (1/2 tsp. 3 to 4 times daily). However, Vitex also known as chaste tree berry, has attracted much consideration and comprehensively tested in randomized controlled trials; [1, 7-8] and reported to exhibit dopaminic agonist, inhibiting prolactin and increasing estrogen secretions and its flavonoids ligands to benzodiazepine receptors- thereby depicting antidepressant and anxiolytic properties [1]. Chaste berry fruit extract has also been shown to correct prolactin levels in latent hyperprolactinaemia via dopamine receptors. Vitex formulation (Agnolyt®) has been reported to be superior to pyridoxine in reducing premenstrual tension, whereas Femicur® (dried extract of Vitex) decreased and/or ceased mastalgia, associated to PMS; both tested in randomized controlled clinical trials [7, 8]. Nonetheless, many of the above-mentioned mono or poly-phytotherapeutic combinations are not recommended during pregnancy and possible hormonal effects through breast milk (some via prolactin inhibition) [3]. Additionally, extensive and scientific-based clinical research into the use of herbal therapies for premenstrual disorders, specifically in adolescents is unfortunately sparse. To this effect, phytotherapies for PMS can be given due consideration provided they are prescribed by trained professionals following rigorous high-quality clinical testing and with optimal dosing standards but avoided concurrently with conventional medications. Additionally, it is believed that it is of uttermost importance for medical practitioners to be aware of such herbal therapies and any innate potential drug-herb interactions and/or side effects in an endeavor to offer alternatives to women.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,912
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,134
Tête enseignante GPT0,349
Écart entre enseignants0,215 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeAutre devis
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2013
Routes d'admission1
Résumé présentoui

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