No definition available.
Endpoint definition
↥
Endpoint definition steps |
FinnGen |
---|---|
Phenotype data |
520210 |
1. Apply sex-specific ruleonly males |
226837 |
2. Check conditionsNone |
226837 |
3. Check pre-conditions, main-only, mode, registry filtersRegistry filters: 2 out of 7 registries used, show all original rules. |
609 |
4. Check minimum number of eventsNone |
609 |
5. Include endpoints |
737 |
6. Filter based on genotype QC (FinnGen only) |
737 |
Control definitions (FinnGen only)
Controls for this endpoint are individuals that are not cases.
Extra metadata
- Level in the ICD hierarchy
- 2
- First used in FinnGen datafreeze
- DF3
- Parent code in ICD-10
- D10-D36
- Name in latin
- Neoplasmata benigna organorum genitalium masculinorum
Similar endpoints
↥List of similar endpoints to Benign neoplasm of male genital organs based on the number of shared cases.
Similar with more cases:
- Benign neoplasm of male genital organs
- Benign neoplasms
- Benign neoplasms
- Neoplasms
- Any event in hilmo or specialist outpatient
Similar with less cases:
Case counts by codes
↥Summary Statistics
↥-FinRegistry-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | |||
Whole population | 5564 | - | 5564 |
Only index persons | 4801 | - | 4801 |
Unadjusted period prevalence (%) | |||
Whole population | 0.16 | - | 0.16 |
Only index persons | 0.18 | - | 0.18 |
Median age at first event (years) | |||
Whole population | - | - | 52.91 |
Only index persons | - | - | 50.02 |
-FinnGen-
Key figures
All | Female | Male | |
---|---|---|---|
Number of individuals | 737 | - | 737 |
Unadjusted period prevalence (%) | 0.32 | - | 0.32 |
Median age at first event (years) | 58.18 | - | 58.18 |
-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
- 673
- Matched controls
- 6730
LabWAS
↥Mortality – FinRegistry
↥Association
Association between endpoint CD2_BENIGN_MALE_GEN and mortality.
Females
No dataMales
Parameter | HR [95% CI] | p-value |
---|---|---|
CD2_BENIGN_MALE_GEN | 1.301 [1.15, 1.47] | < 0.001 |
Birth year | 0.986 [0.98, 1.0] | 0.003 |
During the follow-up period (1.1.1998 — 31.12.2019), 965 out of 3809 males with CD2_BENIGN_MALE_GEN died.
Mortality risk
Mortality risk for people of age
years, who have CD2_BENIGN_MALE_GEN.N-year risk | Females | Males |
---|---|---|
1 | No data | 0.238% |
5 | No data | 1.447% |
10 | No data | 3.479% |
15 | No data | 6.681% |
20 | No data | 11.102% |
Relationships between endpoints
↥Index endpoint: CD2_BENIGN_MALE_GEN – Benign neoplasm of male genital organs
GWS hits: -