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Avena sativa

Sources : Kiberis
EN: Boericke, Clarke, Phatak
RU: Additions, Берике, Кларк, Крылов, Кулкарни, Никитин, Фатак, Фундылер
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Other names and synonyms

aven.

Performance statistics based

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  • 1
    Respiratory system: E 66%, I 20%, 17 cases. 941 meds
    • 3
      Diseases: E 52%, I 15%, 26 cases. 1775 meds
      • 1
        Digestive system: E 43%, I 13%, 20 cases. 1206 meds
        • 2
          Bone system: E 59%, I 13%, 15 cases. 242 meds
          • Back: E 32%, I 11%, 7 cases. 825 meds
          • 5
            Psyche: E 15%, I 8%, 26 cases. 1221 meds
            • Abdomen: E 26%, I 8%, 9 cases. 1012 meds
            • 4
              Cardiovascular system: E 45%, I 7%, 20 cases. 1052 meds
              • 1
                Head: E 50%, I 6%, 23 cases. 1171 meds
                • 3
                  Limbs: E 42%, I 5%, 24 cases. 881 meds
                  • 1
                    Nervous system: E 52%, I 5%, 14 cases. 481 meds
                    • Skin: E 31%, I 0%, 21 case. 1208 meds
                    • Genitourinary system: E 18%, I -14%, 12 cases. 573 meds

                    Last updated date: 11.11.2025

                    Performance statistics based «Avena sativa» in percentages for various lesions, grouped by meaning in the form of a repertory. Together with individual modalities that affect the outcome of therapy.
                    Effect - how much the symptom improves in one treatment cycle on average. Example: drug Pain relief for cancer pain-Effectiveness (E) is high, but the effect (I) negative, because the patient will get worse over time.
                    Influence of the symptom on the outcome of the patient's treatment as a whole (i.e., the importance of the symptom). Example: menopause can not be cured (E low). But some means during menopause will be better than others (I high).
                    Cases - the number of investigated treatment results for a given complaint, on the basis of which the effect and effect were calculated. These cases have already passed automatic AI verification of data quality and reliability.
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                    Content moderator: Vasin A. S.


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