No definition available.
Endpoint definition
↥
Endpoint definition steps |
FinnGen |
---|---|
Phenotype data |
520210 |
1. Apply sex-specific ruleNone |
520210 |
2. Check conditionsNone |
520210 |
3. Check pre-conditions, main-only, mode, registry filtersRegistry filters: 2 out of 7 registries used, show all original rules. |
112 |
4. Check minimum number of eventsNone |
112 |
5. Include endpointsNone |
112 |
6. Filter based on genotype QC (FinnGen only) |
112 |
Control definitions (FinnGen only)
- Control exclude
- K11_HERNIA
Extra metadata
- First used in FinnGen datafreeze
- DF3
Similar endpoints
↥List of similar endpoints to Femoral hernia, bilateral based on the number of shared cases.
Similar with more cases:
- Femoral hernia
- Inguinal or femoral hernia, bilateral
- Hernia
- Gastrointestinal diseases
- Any event in hilmo or specialist outpatient
Similar with less cases:
None
Case counts by codes
↥Summary Statistics
↥-FinRegistry-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | |||
Whole population | 879 | 487 | 390 |
Only index persons | 757 | 427 | 330 |
Unadjusted period prevalence (%) | |||
Whole population | 0.01 | 0.01 | 0.01 |
Only index persons | 0.01 | 0.02 | 0.01 |
Median age at first event (years) | |||
Whole population | 64.25 | 66.06 | 61.96 |
Only index persons | 62.17 | 63.86 | 59.99 |
-FinnGen-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | 112 | 68 | 44 |
Unadjusted period prevalence (%) | 0.02 | 0.02 | 0.02 |
Median age at first event (years) | 60.92 | 60.53 | 61.52 |
-FinRegistry-
Age distribution of first events
-FinnGen-
Age distribution of first events
-FinRegistry-
Year distribution of first events
-FinnGen-
Year distribution of first events
-FinRegistry-
Cumulative Incidence Function
-FinnGen-
Cumulative Incidence Function
CodeWAS (R11)
↥CodeWAS is a tool for exploring the associations between an endpoint and all of the medical codes and drug codes.
This is a new tool, please reach out using the contact form for feedback and improvement ideas.
First, a cohort is built by matching controls to the endpoint cases using year of birth and sex. Then, a Fisher test is done for all the medical codes and drug codes between the cases and controls of this cohort. Codes are reported in the table below if they have −log10(p-value) ≥ 6.
Matched cohort
- Matched cases
- 97
- Matched controls
- 968
LabWAS
↥Mortality – FinRegistry
↥Association
Association between endpoint FEMHER_BILATERAL and mortality.
Females
Parameter | HR [95% CI] | p-value |
---|---|---|
FEMHER_BILATERAL | 1.462 [1.18, 1.81] | < 0.001 |
Birth year | 1.0 [0.99, 1.01] | 0.999 |
During the follow-up period (1.1.1998 — 31.12.2019), 156 out of 427 females with FEMHER_BILATERAL died.
Males
Parameter | HR [95% CI] | p-value |
---|---|---|
FEMHER_BILATERAL | 1.338 [1.05, 1.71] | 0.021 |
Birth year | 0.989 [0.98, 1.0] | 0.022 |
During the follow-up period (1.1.1998 — 31.12.2019), 126 out of 348 males with FEMHER_BILATERAL died.
Mortality risk
Mortality risk for people of age
years, who have FEMHER_BILATERAL.N-year risk | Females | Males |
---|---|---|
1 | 0.167% | 0.245% |
5 | 0.996% | 1.493% |
10 | 2.343% | 3.873% |
15 | 4.664% | 7.459% |
20 | 7.967% | 12.692% |
Relationships between endpoints
↥Index endpoint: FEMHER_BILATERAL – Femoral hernia, bilateral
GWS hits: 1