Procreative management

MESH PheWeb

Z21_PROCREATIVE_MANAG

No definition available.

Endpoint definition

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FinnGen phenotype data

321302 individuals

Apply sex-specific rule None

321302

Check conditions None

321302

Filter registries

Hospital Discharge: ICD-10 Z31

Cause of death: ICD-10 Z31

8764

Check pre-conditions, main-only, mode, ICD version

Look only at ICD versions H.D: 10 ; C.O.D: 10

8764

Check minimum number of events None

8764

Include endpoints None

8764

Z21_PROCREATIVE_MANAG

Extra metadata

Level in the ICD hierarchy 3

First used in FinnGen datafreeze DF4

Parent code in ICD-10 Z3

Similar endpoints

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List of similar endpoints to Procreative management based on the number of shared cases.

Broader endpoints:

Narrower endpoints:

None

Show all endpoint correlations

Summary Statistics

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Key figures

All

Female

Male

Number of individuals

8363

5662

2701

Unadjusted prevalence (%)

2.71

3.26

2.00

Mean age at first event (years)

40.43

41.34

38.53

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Follow-up

Amount of time to look for the endpoint since entering the study. This is either either 1, 5, 15 years or the full study time from 1998 to 2019.

Absolute risk

Estimates the probability of dying from the current endpoint. Check the Documentation page for Mortality: absolute risk to get more details.

Hazard Ratio (HR) and 95% Confidence Interval (CI)

Measures how much the risk of dying increases (HR > 1) or decreases (HR < 1).

Number of individuals (N)

Number of individuals having the current endpoint and died during the follow-up time.
Mortality

Follow-up	Absolute risk	HR [95% CI]	p	N
1998–2019	0.06	4.48 [2.35, 8.51]	4.9e-6	191
15 years	0.01	1.94 [0.90, 4.19]	9.3e-2	66
5 years	0.01	8.69 [5.00, 15.08]	1.6e-14	82
1 year	0.00	15.61 [8.73, 27.91]	1.8e-20	29

Age distribution of first events

Year distribution of first events

Cumulative Incidence

Correlations

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Index endpoint: Z21_PROCREATIVE_MANAG – Procreative management
GWS hits: 2

Survival analyses between endpoints

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Plot

before Procreative management
after Procreative management

Loading survival analyses plot

Table

Loading survival analyses table

Drugs most likely to be purchased after Procreative management

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