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Development and Evaluation of a CEA Algorithm.

Development and Evaluation of a CEA Algorithm.

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
NL-OMON
Registry ID
NL-OMON27002
Enrollment
3000
Registered
2019-07-21
Start date
2019-01-01
Completion date
Unknown
Last updated
2024-02-28

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

Conditions

Maligne colorectal tumor.

Interventions

None.

Sponsors

None.
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Patients older than eighteen years of age after resection of colorectal maligne tumor with at least one serum CEA measurement in follow up.

Exclusion criteria

Exclusion criteria: None, only if data showed no evidence of cancer.

Design outcomes

Primary

MeasureTime frame
The aim of the study is to create a serum CEA-measurement based algorithm of CEA rising. If the algorithm proves higher sensitivity of detecting recurrence, and therefore higher curable treatment, it can result in an application which helps professionals in health care, mainly general practitioners, with decision making. One should think of decisions like closer monitoring of CEA measurements, additional imaging based on serum CEA measurements (“CEA-triggered imaging”) or referring to a specialist

Secondary

MeasureTime frame
When there is an algorithm created, the second aim is to compare CEA algorithm triggered imaging of ultrasonography of the liver with the regular follow up and the detection of recurrence. Also comparing the cost efficacy of it.

Contacts

Public ContactLaura Koolen

Zuyderland Medical Centre

Laura.koolen@gmail.com+31613536836

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP)