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Senega officinalis

Sources : Kiberis
EN: Allen, Boericke, Boger, Clarke, Hering, Kent, Lippe, Lippe (keynotes), Phatak
RU: Берике, Богер, Вермюлен, Геринг, Кент, Кларк, Крылов, Кулкарни, Липпе, Моррисон, Никитин, Нэш, Фатак, Фундылер
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Other names and synonyms

seneg.

Performance statistics based

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  • 4
    Diseases: E 66%, I 20%, 36 cases. 1775 meds
    • 7
      Respiratory system: E 71%, I 17%, 43 cases. 941 meds
      • 2
        Head: E 49%, I 14%, 32 cases. 1171 meds
        • 5
          Digestive system: E 58%, I 7%, 35 cases. 1206 meds
          • Back: E 57%, I 6%, 8 cases. 825 meds
          • 3
            Cardiovascular system: E 62%, I 5%, 22 cases. 1052 meds
            • Abdomen: E 70%, I 4%, 7 cases. 1012 meds
            • 2
              Chest: E 69%, I 3%, 17 cases. 983 meds
              • Genitourinary system: E 57%, I 3%, 10 cases. 573 meds
              • 3
                Psyche: E 28%, I 2%, 23 cases. 1221 meds
                • 1
                  Bone system: E 48%, I 0%, 12 cases. 242 meds
                  • 3
                    Limbs: E 26%, I -3%, 23 cases. 881 meds
                    • 4
                      Skin: E 23%, I -5%, 22 cases. 1208 meds
                      • Nervous system: E 33%, I -9%, 6 cases. 481 meds

                      Last updated date: 11.11.2025

                      Performance statistics based «Senega officinalis» 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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