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Digitalis purpurea

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

dig.

Performance statistics based

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  • 2
    Respiratory system: E 64%, I 19%, 20 cases. 1204 meds
    • Abdomen: E 79%, I 15%, 8 cases. 1084 meds
    • Chest: E 66%, I 9%, 10 cases. 1843 meds
    • 4
      Cardiovascular system: E 35%, I 9%, 21 case. 1733 meds
      • 2
        Psyche: E 18%, I 6%, 18 cases. 1119 meds
        • 1
          Head: E 17%, I 5%, 18 cases. 1502 meds
          • Digestive system: E 62%, I 4%, 17 cases. 1716 meds
          • 1
            Nervous system: E 49%, I 4%, 10 cases. 938 meds
            • Anamnesis: E 44%, I 2%, 9 cases. 1013 meds
            • 2
              Skin: E 36%, I 1%, 18 cases. 1812 meds
              • 3
                Diseases: E 51%, I 1%, 23 cases. 2710 meds
                • 2
                  Limbs: E 42%, I 0%, 22 cases. 414 meds
                  • 3
                    Genitourinary system: E 32%, I -8%, 14 cases. 703 meds

                    Last updated date: 11.11.2025

                    Performance statistics based «Digitalis purpurea» 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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