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⌂ /ICD-10 diagnoses /
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E13.7 Other specified diabetes mellitus with multiple complications

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Found partially in the 29 (9) ⓘ✘Found partially in the 29 drugs (9 of these, according to Kiberis statistics) in 23 selected books (authors) ... hide
  Effect Influence Cases ⓘ ✘ 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.
  • e13.7 other specified diabetes mellitus with multiple complications
  •  19%-9%4 read Kali bromatum
  •  18%+0%10 read Diab adas
  • 9%+2%26 read Phosphorus
    • On average: 9% 2% 26 
    • ⇒ 2% +6% 8 with «inflammation»
    • ⇒ 0% -2% 8 with «pain throughout the body»
    • ⇒ 0% -2% 8 with «pain in the left side of the body»
    • ⇒ -3% -8% 6 with «lower back pain»
    • ⇒ -5% -12% 5 with «swelling»
  • 8%+1%24 read Kalium carbonicum
    • ⇒ 28% +5% 8 with «heart dysfunction»
    • ⇒ 22% +14% 9 with «impaired lung function»
    • On average: 8% 1% 24 
    • ⇒ 5% -7% 9 with «pain throughout the body»
    • ⇒ 5% -7% 9 with «pain in the left side of the body»
    • ⇒ 4% -5% 7 with «pain in the knees»
    • ⇒ 4% -17% 7 with «lower back pain»
    • ⇒ 3% -12% 8 with «back pain»
    • ⇒ 3% -11% 7 with «frequent urination at night»
    • ⇒ 2% -4% 9 with «speeded up urination»
    • ⇒ 2% -7% 8 with «frequent urination during the day»
    • ⇒ 2% -7% 7 with «veins bloating»
    • ⇒ 0% +3% 6 with «hot patient»
  •  4%+9%4 read Aconitum napellus
  •  2%-25%7 read Echinacea compositum sn
  • 1%-14%26 read Sulphur
    • On average: 1% -14% 26 
    • ⇒ 0% -27% 5 with «cough»
    • ⇒ 0% -16% 11 with «eating and drinking»
    • ⇒ 0% -9% 6 with «likes sweets»
    • ⇒ 0% -5% 6 with «swelling»
    • ⇒ 0% -25% 5 with «inflammation»
    • ⇒ 0% -12% 4 with «desire for fresh air»
    • ⇒ 0% +1% 4 with «no thirst»
    • ⇒ 0% -17% 6 with «sweating is increased»
    • ⇒ 0% -9% 9 with «hot patient»
    • ⇒ 0% -22% 7 with «lazy»
    • ⇒ 0% -15% 4 with «cholesterolemia»
    • ⇒ 0% -21% 4 with «benign neoplasms»
    • ⇒ 0% -24% 4 with «emotional»
  • -1%-9%33 read Lachesis muta
    • ⇒ 17% -12% 4 with «discharge phobias»
    • ⇒ 17% -16% 4 with «congestion belching»
    • ⇒ 16% +6% 6 with «forgetfulness»
    • ⇒ 16% -11% 5 with «sympathetic»
    • ⇒ 15% +9% 7 with «sociable»
    • ⇒ 9% -10% 10 with «poor sleep»
    • ⇒ 7% -16% 7 with «venous mesh on legs»
    • ⇒ 7% -16% 7 with «varicose veins of the legs»
    • ⇒ 7% -16% 7 with «impaired venous function»
    • ⇒ 7% -16% 7 with «veins swelling on the legs»
    • ⇒ 6% -16% 10 with «veins bloating»
    • ⇒ 5% +10% 9 with «pain throughout the body»
    • ⇒ 5% +10% 9 with «pain in the left side of the body»
    • ⇒ 5% -8% 11 with «swelling»
    • ⇒ 3% -5% 11 with «headaches»
    • ⇒ 0% -18% 4 with «no thirst»
    • ⇒ 0% -19% 4 with «chatty»
    • ⇒ 0% -16% 6 with «feeling in the throat»
    • On average: -1% -9% 33 
    • ⇒ -6% -14% 7 with «dyspnea»
    • ⇒ -8% -14% 7 with «worse during day»
    • ⇒ -12% -14% 7 with «screams with anger»
    • ⇒ -12% -14% 7 with «aggressive»
    • ⇒ -12% -14% 7 with «flash screams in anger»
    • ⇒ -12% -14% 7 with «outbursts of anger»
    • ⇒ -13% -19% 7 with «worse from movement»
    • ⇒ -13% -14% 6 with «eating and drinking»
    • ⇒ -14% -10% 6 with «pain in the foot»
    • ⇒ -19% -14% 4 with «thirst»
    • ⇒ -22% -5% 6 with «cough»
    • ⇒ -26% -21% 5 with «pain in the right leg»
    • ⇒ -27% -39% 4 with «anxiety»
  •  -3%-27%9 read Silica terra
  •  Antimonium tartaricum read
  •  Argentum metallicum read
  •  Baptisia tinctoria read
  •  Franciscaea uniflora read
  •  Gunpowder read
  •  Lac vaccinum defloratum read
  •  Lycopus virginicus read
  •  Mercurius corrosivus read
  •  Mercurius iodatus ruber read
  •  Muriaticum acidum read
  •  Natrum phosphoricum read
  •  Platinum metallicum read
  •  Pyrogenium read
  •  Rhus aromatica read
  •  Sarsaparilla officinalis read
  •  Secale cornutum read
  •  Tarentula hispanica read
  •  Uranium nitricum read
  •  Диабетин read
  •  Финадон read

Tree of ICD-10 diagnoses



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