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Chininum sulphuricum

Sources : Kiberis
EN: Allen, Clarke, Hering, Hutchinson, Phatak
RU: Берике, Бханья, Вермюлен, Геринг, Кларк, Моррисон, Нэш, Фатак, Хатчисон, Шанкаран
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Other names and synonyms

chin-s.

Performance statistics based

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  • 1
    Chest: E 89%, I 25%, 6 cases. 983 meds
    • 1
      Bone system: E 67%, I 17%, 11 cases. 242 meds
      • 3
        Respiratory system: E 66%, I 13%, 17 cases. 941 meds
        • 3
          Psyche: E 30%, I 10%, 12 cases. 1221 meds
          • Back: E 64%, I 7%, 6 cases. 825 meds
          • 1
            Skin: E 50%, I 7%, 12 cases. 1208 meds
            • 2
              Digestive system: E 56%, I 7%, 18 cases. 1206 meds
              • 4
                Diseases: E 52%, I 4%, 17 cases. 1775 meds
                • 2
                  Cardiovascular system: E 36%, I -4%, 11 cases. 1052 meds
                  • 2
                    Head: E 52%, I -5%, 21 case. 1171 meds
                    • Genitourinary system: E 17%, I -10%, 6 cases. 573 meds
                    • Abdomen: E 26%, I -22%, 5 cases. 1012 meds
                    • Nervous system: E 23%, I -23%, 5 cases. 481 meds
                    • 2
                      Limbs: E 45%, I -25%, 10 cases. 881 meds

                      Last updated date: 11.11.2025

                      Performance statistics based «Chininum sulphuricum» 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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