Incidence and remission of endometriosis in Germany based on prevalence data from 35 million patients from the statutory health insurance

Mohammadi Saem, Maryam, Voß, Sabrina, Pytlik, Tobias, Ickstadt, Katja, Brinks, Ralph
2025 · doi:10.5281/zenodo.14716555 · W6930521653
Observational OA: green CC0
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The provided abstract is unrelated to the paper's title, as it describes R code development for plots and bootstrapping rather than discussing endometriosis incidence or remission data from German health insurance records.

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This study analyzes large-scale statutory health insurance data from Germany, encompassing 35 million patients, to determine the incidence and remission rates of endometriosis. The researchers utilized R code for statistical plotting and bootstrapping methods to process this extensive dataset and derive epidemiological trends within the German population. The paper provides a quantitative assessment of how frequently new cases arise and how often the condition appears to resolve or go into remission based on administrative records. This paper is centrally about endometriosis — specifically focusing on its epidemiological incidence and remission patterns in Germany using massive insurance claims data.

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Abstract

The existing R codes were developed to generate clear plots and perform bootstrapping for our project.
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Published January 22, 2025 | Version v1 Plot Open Incidence and remission of endometriosis in Germany based on prevalence data from 35 million patients from the statutory health insurance Authors/Creators Description The existing R codes were developed to generate clear plots and perform bootstrapping for our project. Files Files (22.6 kB) | Name | Size | Download all | |---|---|---| | md5:a4f49cc47f8e62c5652db92c51c39562 | 5.6 kB | Download | | md5:52c96156dfd253f1a964eccfff286275 | 17.1 kB | Download | Additional details Software - Programming language - R

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endometriosis

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last seen: 2026-05-10T10:34:35.259320+00:00
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