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Cantharis vesicatoria

Sources : Kiberis
EN: Allen, Boericke, Boger, Clarke, Hering, Hutchinson, Kent, Lippe, Lippe (keynotes), Nash, Phatak
RU: Additions, Indicator, Аллен, Берике, Богер, Бханья, Вермюлен, Витулкас2, Гамильтон, Геринг, Иванив, Кент, Кларк, Крылов, Липпе, Моррисон, Никитин, Нэш, Тайлер, Фатак, Фундылер, Хатчисон, Шаррет
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Other names and synonyms

lytta vesicatoria, canth.

Performance statistics based

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  • 1
    Limbs: E 17%, I 22%, 10 cases. 881 meds
    • 1
      Skin: E 28%, I 18%, 12 cases. 1208 meds
      • 4
        Genitourinary system: E 40%, I 18%, 19 cases. 573 meds
        • 3
          Diseases: E 25%, I 3%, 20 cases. 1775 meds
          • 1
            Bone system: E 20%, I 2%, 9 cases. 242 meds
            • 1
              Digestive system: E 12%, I -3%, 13 cases. 1206 meds
              • Cardiovascular system: E 16%, I -3%, 7 cases. 1052 meds
              • 1
                Head: E 14%, I -7%, 16 cases. 1171 meds
                • 3
                  Psyche: E 6%, I -8%, 11 cases. 1221 meds
                  • Back: E 7%, I -17%, 5 cases. 825 meds

                  Last updated date: 11.11.2025

                  Performance statistics based «Cantharis vesicatoria» 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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