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Sulphuricum acidum

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

sul-ac.

Performance statistics based

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  • 2
    Limbs: E 36%, I 21%, 15 cases. 928 meds
    • 1
      Nervous system: E 63%, I 21%, 7 cases. 600 meds
      • Abdomen: E 72%, I 18%, 8 cases. 1065 meds
      • Genitourinary system: E 49%, I 14%, 5 cases. 684 meds
      • 1
        Head: E 27%, I 13%, 15 cases. 1231 meds
        • 3
          Psyche: E 40%, I 12%, 17 cases. 1271 meds
          • Skin: E 42%, I 11%, 12 cases. 1256 meds
          • 2
            Diseases: E 44%, I 11%, 18 cases. 1881 meds
            • 1
              Anamnesis: E 29%, I 7%, 10 cases. 698 meds
              • 1
                Bone system: E 51%, I 5%, 9 cases. 278 meds
                • Chest: E 41%, I 1%, 7 cases. 1020 meds
                • 3
                  Digestive system: E 46%, I 1%, 17 cases. 1273 meds
                  • 2
                    Cardiovascular system: E 23%, I 0%, 10 cases. 1118 meds
                    • Respiratory system: E 29%, I -30%, 10 cases. 1007 meds

                    Last updated date: 14.07.2026

                    Performance statistics based «Sulphuricum acidum» 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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