Nomogram Control of Predictive Factors of Early Withdrawal After Gynecologic Oncology Surgery in the Enhanced Recovery After Surgery (ERAS) Protocol and Assessment of Practices

Status

UNKNOWN

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT03470870

Acronym

NomogramGyneco

Enrollment

370

Registered

2018-03-20

Start date

2018-01-08

Completion date

2020-02-08

Last updated

2018-03-20

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

Conditions

Gynecological Cancers

Keywords

Enhanced recovery after surgery, gynecologic oncology surgery, Nomogram control

Brief summary

Validation of a predictive nomogram of a short hospital stay (less than two days after surgery) on a prospective cohort of patients.

Detailed description

* Validation of a predictive nomogram of short-term hospitalization (less than two days after surgery) * Analysis of the factors influencing the variations of average length of stay * Morbidity analysis of the ERAS program

Interventions

OTHERComparative analysis of the characteristics

* Predictive nomogram of short-term hospitalization (less than two days after surgery) * Factors influencing the variations of average stay lenght * Morbidity of the ERAS program

Study design

Observational model

COHORT

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

FEMALE

Age

18 Years to No maximum

Healthy volunteers

Inclusion criteria

* All patients who had surgery for gynecological cancer under the ERAS program.

Exclusion criteria

* None

Design outcomes

Primary

Measure	Time frame	Description
Validation of a predictive nomogram of a short hospital stay (less than two days after surgery) on a prospective cohort of patients.	2 days	Validation of a predictive nomogram of short-term hospitalization (less than two days after surgery)

Secondary

Measure	Time frame	Description
Descriptive analysis of the cohort.	1 day	Descriptive analysis of the cohort.
Analysis of the factors influencing the variations of average length of stay.	1 day	Analysis of the factors influencing the variations of the average duration of stay in time.
Analysis of the variation of the average duration of stay in time.	1 day	Analysis of the variation of the average duration of stay in time.
Morbidity analysis of the ERAS program.	1 day	Morbidity analysis of the ERAS program
Description of the implementation of the ERAS program on the entire cohort.	1 day	Description of the implementation of the ERAS program on the entire cohort.

Countries

France

Contacts

Primary ContactEric LAMBAUDIE

LAMBAUDIEE@ipc.unicancer.fr0491225810

Backup ContactJerome MATHIS

MATHISJ@ipc.unicancer.fr0491227792

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026