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Syphilinum

Sources : Kiberis
EN: Boericke, Clarke, Hering, Kent, Lippe (keynotes), Phatak
RU: Аллен, Аллен (ключ), Берике, Бханья, Вермюлен, Витулкас, Гамильтон, Геринг, Кент, Кларк, Кулкарни, Липпе, Моррисон, Нэш, Фатак
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Other names and synonyms

Luesinum, syph.

Performance statistics based

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  • 5
    Genitourinary system: E 61%, I 39%, 14 cases. 684 meds
    • 1
      Cardiovascular system: E 54%, I 37%, 4 cases. 1118 meds
      • Abdomen: E 33%, I 23%, 5 cases. 1065 meds
      • 3
        Digestive system: E 43%, I 10%, 16 cases. 1273 meds
        • 2
          Head: E 29%, I 3%, 19 cases. 1231 meds
          • 1
            Respiratory system: E 39%, I 2%, 7 cases. 1007 meds
            • Anamnesis: E 35%, I 1%, 4 cases. 698 meds
            • 5
              Diseases: E 31%, I -1%, 12 cases. 1881 meds
              • 6
                Psyche: E 21%, I -2%, 18 cases. 1271 meds
                • Chest: E 27%, I -3%, 6 cases. 1020 meds
                • 3
                  Skin: E 21%, I -5%, 20 cases. 1256 meds
                  • 3
                    Limbs: E 22%, I -7%, 14 cases. 928 meds
                    • 2
                      Nervous system: E 15%, I -8%, 8 cases. 600 meds
                      • The muscular system: E 5%, I -25%, 6 cases. 246 meds

                      Last updated date: 14.07.2026

                      Performance statistics based «Syphilinum» 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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