Acute Liver Failure Prognostic
ASO Keyword Dashboard
Tracking 33 keywords for Acute Liver Failure Prognostic in Apple App Store
Acute Liver Failure Prognostic tracks 33 keywords (2 keywords rank; 31 need traction). Key metrics: 50% top-10 coverage, opportunity 69.9, difficulty 36.0, best rank 7.
Tracked keywords
33
2 ranked • 31 not ranking yet
Top 10 coverage
50%
Best rank 7 • Latest leader 172
Avg opportunity
69.9
Top keyword: model
Avg difficulty
36.0
Lower scores indicate easier wins
Opportunity leaders
- 65.5
model
Opportunity: 73.0 • Difficulty: 40.4 • Rank 172
Competitors: 155
- 62.1
patients
Opportunity: 73.0 • Difficulty: 37.5 • Rank —
Competitors: 43
- 66.7
needed
Opportunity: 73.0 • Difficulty: 41.2 • Rank —
Competitors: 158
- 68.0
calculate
Opportunity: 73.0 • Difficulty: 41.7 • Rank —
Competitors: 105
- 61.8
survival
Opportunity: 72.0 • Difficulty: 39.1 • Rank —
Competitors: 176
Unranked opportunities
patients
Opportunity: 73.0 • Difficulty: 37.5 • Competitors: 43
needed
Opportunity: 73.0 • Difficulty: 41.2 • Competitors: 158
calculate
Opportunity: 73.0 • Difficulty: 41.7 • Competitors: 105
survival
Opportunity: 72.0 • Difficulty: 39.1 • Competitors: 176
development
Opportunity: 72.0 • Difficulty: 41.9 • Competitors: 162
High competition keywords
free
Total apps: 176,178 • Major competitors: 5,391
Latest rank: — • Difficulty: 55.2
data
Total apps: 97,788 • Major competitors: 1,437
Latest rank: — • Difficulty: 51.5
day
Total apps: 69,225 • Major competitors: 1,891
Latest rank: — • Difficulty: 50.7
used
Total apps: 50,473 • Major competitors: 700
Latest rank: — • Difficulty: 48.4
points
Total apps: 25,806 • Major competitors: 600
Latest rank: — • Difficulty: 46.2
All tracked keywords
Includes opportunity, difficulty, rankings and competitor benchmarks
| Major Competitors | |||||||
|---|---|---|---|---|---|---|---|
| failure | 70 | 100 | 33 | 49 947 competing apps Median installs: 300 Avg rating: 4.2 | 7 | 7 | 22 major competitor apps |
| model | 73 | 100 | 40 | 66 8,729 competing apps Median installs: 350 Avg rating: 4.0 | 172 | 172 | 155 major competitor apps |
| free | 65 | 100 | 55 | 87 176,178 competing apps Median installs: 650 Avg rating: 4.2 | — | — | 5,391 major competitor apps |
| survival | 72 | 100 | 39 | 62 5,219 competing apps Median installs: 850 Avg rating: 4.0 | — | — | 176 major competitor apps |
| used | 69 | 100 | 48 | 78 50,473 competing apps Median installs: 350 Avg rating: 4.0 | — | — | 700 major competitor apps |
| group | 71 | 100 | 49 | 73 25,669 competing apps Median installs: 300 Avg rating: 4.3 | — | — | 424 major competitor apps |
| patients | 73 | 100 | 37 | 62 5,403 competing apps Median installs: 200 Avg rating: 4.1 | — | — | 43 major competitor apps |
| needed | 73 | 100 | 41 | 67 10,279 competing apps Median installs: 350 Avg rating: 4.1 | — | — | 158 major competitor apps |
| enter | 71 | 100 | 45 | 73 23,912 competing apps Median installs: 400 Avg rating: 4.0 | — | — | 531 major competitor apps |
| calculate | 73 | 100 | 42 | 68 12,283 competing apps Median installs: 250 Avg rating: 4.1 | — | — | 105 major competitor apps |
| lee | 69 | 100 | 27 | 43 393 competing apps Median installs: 375 Avg rating: 4.2 | — | — | 5 major competitor apps |
| data | 67 | 100 | 51 | 83 97,788 competing apps Median installs: 300 Avg rating: 4.2 | — | — | 1,437 major competitor apps |
| points | 71 | 100 | 46 | 73 25,806 competing apps Median installs: 400 Avg rating: 4.1 | — | — | 600 major competitor apps |
| day | 68 | 100 | 51 | 80 69,225 competing apps Median installs: 400 Avg rating: 4.3 | — | — | 1,891 major competitor apps |
| development | 72 | 100 | 42 | 69 13,798 competing apps Median installs: 300 Avg rating: 4.2 | — | — | 162 major competitor apps |
| predicting | 69 | 100 | 27 | 43 388 competing apps Median installs: 350 Avg rating: 4.2 | — | — | 10 major competitor apps |
| percent | 70 | 100 | 35 | 50 1,062 competing apps Median installs: 350 Avg rating: 4.2 | — | — | 18 major competitor apps |
| study | 71 | 100 | 44 | 72 21,921 competing apps Median installs: 300 Avg rating: 4.3 | — | — | 242 major competitor apps |
| prediction | 71 | 100 | 34 | 54 1,697 competing apps Median installs: 450 Avg rating: 4.1 | — | — | 32 major competitor apps |
| acute | 69 | 100 | 28 | 46 592 competing apps Median installs: 200 Avg rating: 3.9 | — | — | 2 major competitor apps |
| predict | 71 | 100 | 33 | 54 1,793 competing apps Median installs: 400 Avg rating: 4.2 | — | — | 46 major competitor apps |
| otherwise | 71 | 100 | 34 | 55 2,155 competing apps Median installs: 450 Avg rating: 4.0 | — | — | 45 major competitor apps |
| indication | 70 | 100 | 30 | 50 985 competing apps Median installs: 150 Avg rating: 3.7 | — | — | 4 major competitor apps |
| indicated | 70 | 100 | 30 | 48 823 competing apps Median installs: 350 Avg rating: 3.9 | — | — | 12 major competitor apps |
| consider | 72 | 100 | 36 | 58 2,918 competing apps Median installs: 700 Avg rating: 4.1 | — | — | 67 major competitor apps |
App Description
The ALFSG Prognostic Model can be used to predict 21-day transplant-free survival (TFS) in patients with acute liver failure (ALF). Enter each of the 5 data points as indicated and the model will calculate the percent likelihood of TFS. By convention, most centers consider a prediction of > 20% likelihood of TFS as an indication for transplant listing. The model is a conservative one, rarely (2%) predicting survival in ALF patients that otherwise died or needed transplant.
References:
Koch DG, Tillman H, Durkalski V, Lee WM, Reuben A. Development of a Model to Predict Transplant-free Survival of Patients With Acute Liver Failure. Clin Gastroenterol Hepatol. 2016 Aug;14(8):1199-1206.