Register study on the new cervical cancer screening from January 1, 2020 - data collection of the patients presented as part of the G-BA's clarification algorithm at dyssplasia units and consultations

Register study on the new cervical cancer screening from January 1, 2020 - data collection of the patients presented as part of the G-BA's clarification algorithm at dyssplasia units and consultations - ZGynO_Zervixkarzinomscreening

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00024931

Enrollment

1000

Registered

2021-04-13

Start date

2020-08-04

Completion date

Unknown

Last updated

2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

N87

Interventions

Group 1: Presentation as part of the G-BA's assessment algorithm in the respective dysplasia consultation hour or unit. Data collection by the attending physician (colposcopic, histological and cytolo

Eligibility

Sex/Gender

Female

Age

20 Years to No maximum

Inclusion criteria

Inclusion criteria: • Age older than 20 years • Presentation as part of the G-BA's assessment algorithm in the respective dysplasia consultation hour or unit. • signed informed consent

Exclusion criteria

Exclusion criteria: • Expected lack of compliance by the patient or inability of the patient to understand the purpose of the clinical trial • lack of patient consent

Design outcomes

Primary

Measure	Time frame
The aim of this registry study is, on the one hand, to carry out further quality assurance in the interests of our patients. On the other hand, these data should also be used to achieve a reduction in overdiagnosis and, if necessary, therapy through better predictive power of the findings. Overdiagnosis can possibly be associated with great physical and emotional stress in women. This could then be avoided in the future.	—

Measure

Time frame

The aim of this registry study is, on the one hand, to carry out further quality assurance in the interests of our patients. On the other hand, these data should also be used to achieve a reduction in overdiagnosis and, if necessary, therapy through better predictive power of the findings. Overdiagnosis can possibly be associated with great physical and emotional stress in women. This could then be avoided in the future.

—

Secondary

Measure	Time frame
In addition, the data collected represent an important basis for patient education.	—

Countries

Germany

Contacts

Public ContactMelanie Henes

Universitästklinikum Tübingen, Department für Frauengesundheit

melanie.henes@med.uni-tuebingen.de+49 7071 29 83117

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026