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Syphilinum

Sources : Kiberis
EN: Boericke, Clarke, Hering, Kent, Lippe (keynotes), Phatak
RU: Аллен, 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 63%, I 41%, 15 cases. 573 meds
    • 1
      Cardiovascular system: E 40%, I 28%, 5 cases. 1052 meds
      • Abdomen: E 35%, I 19%, 4 cases. 1012 meds
      • Chest: E 33%, I 7%, 5 cases. 983 meds
      • 2
        Head: E 24%, I 4%, 17 cases. 1171 meds
        • 2
          Digestive system: E 36%, I 4%, 17 cases. 1206 meds
          • 5
            Diseases: E 28%, I 1%, 12 cases. 1775 meds
            • Anamnesis: E 35%, I 0%, 4 cases. 646 meds
            • 2
              Nervous system: E 14%, I -4%, 7 cases. 481 meds
              • 6
                Psyche: E 17%, I -5%, 18 cases. 1221 meds
                • 2
                  Skin: E 15%, I -5%, 19 cases. 1208 meds
                  • 3
                    Limbs: E 20%, I -7%, 14 cases. 881 meds
                    • 1
                      Respiratory system: E 26%, I -8%, 6 cases. 941 meds
                      • The muscular system: E 5%, I -22%, 6 cases. 199 meds

                      Last updated date: 11.11.2025

                      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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