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⌂ /ICD-10 diagnoses /
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E13.4 Other specified diabetes mellitus with neurological complications

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Found partially in the 39 (39) ⓘ✘Found partially in the 39 drugs (39 of these, according to Kiberis statistics) in 0 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.
  • e13.4 other specified diabetes mellitus with neurological complications
  •  25%+0%9   Hidden. Need a subscription
  •  24%-20%10 read Ubichinon compositum
  •  24%-16%7 read Berberis vulgaris
  •  22%-8%7 read Galium-heel
  •  21%-3%9 read Radium bromatum
  •  19%-24%9 read Laurocerasus officinalis
  •  17%-5%11 read Bryonia alba
  • 16%-15%15 read Crotalus horridus
    • On average: 16% -15% 15 
    • ⇒ 1% -15% 8 with «dyspnea»
  • 16%-3%32 read Natrum muriaticum
    • ⇒ 56% +6% 5 with «rash on the limbs»
    • ⇒ 40% +2% 5 with «outbursts of anger»
    • ⇒ 40% +2% 5 with «aggressive»
    • ⇒ 37% +1% 9 with «back pain»
    • ⇒ 36% +10% 8 with «brain damage»
    • ⇒ 29% +0% 5 with «desire for salty»
    • On average: 16% -3% 32 
    • ⇒ 6% +2% 7 with «heart dysfunction»
    • ⇒ 4% -4% 8 with «swelling»
    • ⇒ 0% -12% 7 with «inflammation»
    • ⇒ 0% -10% 7 with «no thirst»
    • ⇒ -2% -13% 8 with «worse from movement»
    • ⇒ -3% -10% 8 with «dyspnea»
    • ⇒ -6% -6% 7 with «thirst»
    • ⇒ -8% -27% 5 with «warts»
  •  13%+2%10 read Conium maculatum
  •  13%-13%10 read Traumeel s
  •  13%-7%9 read Physostigma venenosum
  • 13%-2%25 read Lycopodium clavatum
    • ⇒ 25% +11% 6 with «pain in the shins»
    • ⇒ 23% +4% 7 with «warts»
    • On average: 13% -2% 25 
    • ⇒ 12% -7% 11 with «hypertension»
    • ⇒ 5% -11% 7 with «pain in the right leg»
    • ⇒ 4% -11% 8 with «numbness of the extremities»
    • ⇒ 2% -14% 11 with «sensations in the legs»
    • ⇒ 0% +0% 7 with «likes sweets»
  • 12%+7%22 read Arsenicum album
    • On average: 12% 7% 22 
    • ⇒ 3% +14% 9 with «sweating is increased»
  • 12%-4%17 read Thuja occidentalis
    • ⇒ 43% +10% 5 with «pain in the legs»
    • On average: 12% -4% 17 
    • ⇒ 6% -2% 7 with «hypertension»
    • ⇒ 2% +0% 7 with «increased sugar»
    • ⇒ 0% +1% 4 with «warts»
    • ⇒ 0% +1% 4 with «warts on the face»
  •  11%+0%9 read Plumbum metallicum
  •  11%-14%7 read Discus compositum
  •  11%-1%18 read Cardiomil
  •  10%-11%10 read Chininum arsenicosum
  • 9%+0%22 read Phosphorus
    • On average: 9% 0% 22 
    • ⇒ -3% +0% 6 with «hot patient»
    • ⇒ -3% +2% 8 with «inflammation»
    • ⇒ -7% -14% 6 with «swelling»
  • 7%-15%29 read Natrum sulphuricum
    • ⇒ 23% +9% 8 with «pneumonia»
    • ⇒ 19% +3% 8 with «pain throughout the body»
    • ⇒ 19% +3% 8 with «pain in the left side of the body»
    • On average: 7% -15% 29 
    • ⇒ 1% +0% 6 with «sweating is increased»
    • ⇒ 0% +16% 5 with «impaired lung function»
    • ⇒ 0% -2% 5 with «itchy skin»
    • ⇒ -12% -4% 4 with «workaholic»
  • 7%+2%31 read Pulsatilla nigricans
    • ⇒ 20% +7% 7 with «no thirst»
    • On average: 7% 2% 31 
    • ⇒ 2% +15% 7 with «headaches»
    • ⇒ 0% -3% 5 with «likes sweets»
    • ⇒ 0% +13% 7 with «inflammation»
    • ⇒ 0% +7% 4 with «chilly»
    • ⇒ 0% +14% 6 with «sweating is increased»
    • ⇒ -1% -1% 6 with «s eyes cloudy»
    • ⇒ -4% +15% 5 with «desire for fresh air»
  • 7%-1%18 read Calcarea carbonica
    • On average: 7% -1% 18 
    • ⇒ 1% -7% 4 with «numbness of the extremities»
    • ⇒ 1% -4% 6 with «sensations in the hands»
    • ⇒ 1% -7% 4 with «numbness of the hands»
    • ⇒ 0% -4% 4 with «night sweating»
    • ⇒ 0% -4% 4 with «night sweat»
    • ⇒ 0% -4% 4 with «excessive sweating at night»
    • ⇒ 0% -4% 4 with «sweating during the day»
    • ⇒ -5% -22% 4 with «desire for eggs»
    • ⇒ -6% -22% 3 with «desire for meat»
  •  6%-24%8 read Nux vomica-homaccord
  • 5%-5%23 read Causticum hahnemanni
    • On average: 5% -5% 23 
    • ⇒ 3% -4% 7 with «increased sugar»
    • ⇒ 0% -2% 11 with «sweating is increased»
    • ⇒ 0% -2% 8 with «hot patient»
    • ⇒ 0% -4% 4 with «outbursts of anger»
    • ⇒ 0% -4% 4 with «aggressive»
    • ⇒ 0% +4% 4 with «thirst»
  • 4%-12%22 read Sulphur
    • On average: 4% -12% 22 
    • ⇒ 1% -9% 10 with «sensations in the legs»
    • ⇒ 0% -5% 5 with «swelling»
    • ⇒ 0% +5% 4 with «no thirst»
    • ⇒ 0% -2% 4 with «bone deformation»
    • ⇒ 0% -9% 7 with «hot patient»
    • ⇒ 0% -18% 5 with «lazy»
  •  3%-1%23 read Kalium carbonicum
  • 3%-9%21 read Arnica montana
    • On average: 3% -9% 21 
    • ⇒ 0% -15% 6 with «pain throughout the body»
    • ⇒ 0% -15% 6 with «pain in the left side of the body»
  • 3%-7%30 read Lachesis muta
    • ⇒ 16% +12% 7 with «sociable»
    • ⇒ 11% -12% 9 with «poor sleep»
    • On average: 3% -7% 30 
    • ⇒ -3% -15% 6 with «dyspnea»
    • ⇒ -10% -18% 7 with «worse from movement»
    • ⇒ -10% -18% 4 with «quickly gets tired»
    • ⇒ -12% -9% 6 with «worse during day»
    • ⇒ -27% -38% 4 with «anxiety»
    • ⇒ -27% -38% 4 with «unspecified mental disorders»
  • 3%-6%13 read Nux vomica
    • On average: 3% -6% 13 
    • ⇒ 0% -13% 6 with «sensations in the legs»
    • ⇒ 0% -13% 6 with «pain in the legs»
    • ⇒ 0% -25% 4 with «impressionability»
    • ⇒ 0% -25% 4 with «emotional»
  •  3%-24%6 read Echinacea compositum sn
  •  1%+4%9 read Calcarea phosphorica
  •  1%-3%7 read Carboneum sulphuratum
  •  1%-15%7 read China officinalis
  •  0%+6%6 read Tuberculinum bovinum kent
  •  0%+1%13 read Carbo vegetabilis
  •  -2%-7%8 read Chelidonium majus
  •  -2%-23%8 read Silica terra
  •  -9%-23%14 read Rhus toxicodendron

Tree of ICD-10 diagnoses



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