ConductScience.org, home

Trial · NCT07888478

Surgical Intuition in Anastomotic Leakage After Colorectal Surgery

NCT07888478, Recruiting, University Hospital, Basel, Switzerland

3 sourcestrials-2026-11-12-0.5.0

Download JSON
Cite this record

ConductScience Library. Surgical Intuition in Anastomotic Leakage After Colorectal Surgery. Trials, record NCT07888478. Release trials-2026-11-12-0.5.0, 12 Nov 2026. https://conductscience.org/library/trials/NCT07888478

On this page

Trial

As registered on ClinicalTrials.gov, in the graph's capture of the registry.

Title
Surgical Intuition in Anastomotic Leakage After Colorectal Surgery
NCT number
NCT07888478
Status
Recruiting
Enrollment
4,300 participants, estimated
Lead sponsor
University Hospital, Basel, Switzerland
Conditions
Anastomotic Leaks
First posted
2026-10-22
Last updated
2026-10-22

Source ClinicalTrials.gov

Registered outcomes5

Each outcome the trial registered, primary first, in ClinicalTrials.gov's words.

ListOutcomeTime frameDescription
PrimaryDiscriminative performance of the machine learning model for predicting anastomotic leakageWithin 30 days after surgery
Area under the receiver operating characteristic curve (AUC), with a 95% confidence interval, for the previously developed machine learning model in predicting anastomotic leakage within 30 days after surgery. Model-predicted risks will be compared with observed leakage outcomes in the colon and rectal resection cohorts. Higher AUC values indicate better discrimination.
SecondaryIncidence of anastomotic leakageWithin 30 days after surgeryPercentage of participants who develop anastomotic leakage within 30 days after surgery, reported for the colon and rectal resection cohort
SecondaryPredictive accuracy of surgical intuition for anastomotic leakagePreoperative assessment on day -1 or day 0 and post-operative assessment on day 0, with outcome follow-up through postoperative day 30
Predictive performance of surgeons' estimated probabilities of anastomotic leakage, recorded using structured preoperative and postoperative questionnaires. Discrimination will be assessed using the area under the curve (AUC), comparing surgeons' risk estimates with observed leakage outcomes within 30 days after surgery.
SecondaryDifference in AUC after adding surgical intuition to the machine learning modelWithin 30 days after surgery
Difference in the area under the receiver operating characteristic curve (Delta AUC) between the model incorporating surgical intuition and the original machine learning model alone for predicting anastomotic leakage within 30 days. Paired AUC comparisons will assess the additional discriminative value of surgical intuition. Positive differences indicate improved discrimination.
SecondaryNet reclassification improvement after adding surgical intuition to the machine learning modelWithin 30 days after surgery
Net reclassification improvement (NRI) comparing the model incorporating surgical intuition with the original machine learning model alone. This measure will evaluate changes in predicted risk for participants with and without anastomotic leakage within 30 days after surgery.

Outcomes0

Each outcome the trial posted results for, in ClinicalTrials.gov's words.

None in this release.

Results by group0

Each measurement the trial posted, group by group, in the words and numbers it posted.

None in this release.

Participant flow0

How many started, completed or left each group, period by period.

None in this release.

Adverse events0

Each adverse event the trial posted, group by group: the participants affected out of those at risk.

None in this release.

Adverse event totals0

The totals the trial posted for each group.

None in this release.

Papers0

The papers the trial lists on ClinicalTrials.gov.

None in this release.

Grants0

The grants NIH RePORTER links to the trial, newest funded first: NIH's, and some of AHRQ's, CDC's, FDA's and VA's. Each shows its title, principal investigators, organization and funder in its newest year.

None in this release.

Trial comparisons0

Comparisons of the trial's two groups, calculated by ConductScience from the counts it posted.

None in this release.

Tests0

The ConductCognition tests this trial's registered outcomes name, as ScienceGraph matched them in trial-tests-2026-11-12-0.2.1.

None in this release.

Data dates

The day each source was copied for this release.

ClinicalTrials.gov
2026-11-12
ClinicalTrials.gov
Results, from AACT
2026-03-23
AACT
NIH grant links
2026-11-13
NIH RePORTER

Sources 3

  • ClinicalTrials.gov's posted results, through CTTI's AACTFreely available. Acknowledgement requested
  • ClinicalTrials.govNo license stated
  • NIH RePORTER's clinical studies and project filesPublic domain
Each source's terms
  • ClinicalTrials.gov's posted results, through CTTI's AACTClinicalTrials.gov data via Aggregate Analysis of ClinicalTrials.gov (AACT), CTTI. CTTI makes its materials freely available and requests acknowledgement. https://aact.ctti-clinicaltrials.org/documentation/299
  • ClinicalTrials.govnone stated
  • NIH RePORTER's clinical studies and project filesPublic domain (NIH RePORTER)

ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.

For software

Read this trial from software.

The record and each of its lists are JSON, twenty rows a page. No key.

GET https://conductscience.org/api/trials/v1/NCT07888478

GET https://conductscience.org/api/trials/v1/NCT07888478/registered