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Pyrogenium

Sources : Kiberis
EN: Boericke, Boger, Clarke, Kent, Lippe (keynotes), Nash, Phatak
RU: Additions, Аллен, Берике, Бханья, Вермюлен, Гамильтон, Иванив, Кент, Кларк, Кулкарни, Липпе, Моррисон, Никитин, Нэш, Тайлер, Фатак, Фундылер
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Other names and synonyms

pyrog.

Performance statistics based

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  • Genitourinary system: E 53%, I 14%, 7 cases. 573 meds
  • 2
    Cardiovascular system: E 43%, I 13%, 10 cases. 1052 meds
    • 1
      Head: E 32%, I 12%, 14 cases. 1171 meds
      • 1
        Bone system: E 39%, I 11%, 7 cases. 242 meds
        • 2
          Limbs: E 55%, I 4%, 8 cases. 881 meds
          • 2
            Skin: E 20%, I 2%, 16 cases. 1208 meds
            • 1
              Respiratory system: E 41%, I 0%, 10 cases. 941 meds
              • 2
                Psyche: E 3%, I -2%, 11 cases. 1221 meds
                • 3
                  Diseases: E 16%, I -4%, 15 cases. 1775 meds
                  • 1
                    Digestive system: E 46%, I -6%, 13 cases. 1206 meds
                    • 1
                      Anamnesis: E 0%, I -12%, 7 cases. 646 meds

                      Last updated date: 11.11.2025

                      Performance statistics based «Pyrogenium» 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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