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Anastomotic LeakNCT04985981

The Prediction of Anastomotic Insufficiency Risk After Colorectal Surgery (PANIC) Study

An observational study of Anastomotic Leak and Colorectal Cancer, run by Michel Adamina, MD at 2 sites in Switzerland.

Suspended

Paused. Enrolment is on hold for now and may resume.

Official record
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Trial summary

The Prediction of Anastomotic Insufficiency risk after Colorectal surgery (PANIC) study aims to establish a machine-learning-based application that allows for accurate preoperative prediction of patients at risk for anastomotic insufficiency after colon and colorectal surgery. Read more about this study

Who is it for?
Ages 18 years and older
How many people
11,000 participants
Where
2 sitesSwitzerland
Study dates
1 Apr 2021to 31 Dec 2022
How long will I take part?
5 Years
Phase
Observational
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 years and older
  • All sexes
  • No healthy volunteers
  • Adult, Older adult

Study population: Patients who underwent colon or colorectal anastomosis for neoplasia, diverticulitis, mesenterial ischemia, iatrogenic or traumatic perforation, or inflammatory bowel disease. Only patients who have reached the age of 18 will be accepted. Only patients who are able to give informed consent to the procedure will be accepted.

Who may be able to join

  • Patients who underwent colon or colorectal anastomosis for neoplasia, diverticulitis, mesenterial ischemia, iatrogenic or traumatic perforation, or inflammatory bowel disease

Who cannot join

  • age < 18
  • recurrent colorectal cancer
  • peritoneal carcinomatosis or unresectable metastatic disease at time of bowel resection
  • informed consent not obtainable
  • follow-up < 6 weeks after surgery
  • no reversal of and ostomy

Trial locations and contacts

2 sites in 1 country.

Switzerland2 sites
  • Clinical Research and Artificial Intelligence in Surgery, Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland

    Allschwil, Basel, 4123

  • Kantonsspital Winterthur

    Winterthur, Canton of Zurich, 8401

Other trials in Switzerland

About this study

Official title: The Prediction of Anastomotic Insufficiency Risk After Colorectal Surgery (PANIC) Study: Development and External Validation of an International, Multicenter Machine Learning Algorithm for Prediction of Anastomotic Insufficiency After Colonic or Colorectal Anastomosis

The Prediction of Anastomotic Insufficiency risk after Colorectal surgery (PANIC) study aims to establish a machine-learning-based application that allows for accurate preoperative prediction of patients at risk for anastomotic insufficiency after colon and colorectal surgery.

Read the detailed description

Anastomotic insufficiency leads to clinical strains for patients, and significantly increases morbidity and mortality. On average, hospital stay is extended by 12 days while healthcare-related expenses are increased by 30,000 USD when patients suffer from an anastomotic leak. In experienced centers, the approximated incidence of anastomotic insufficiency is 3,3% for colon and 8.6% for colorectal procedures. Multiple subgroups of patients with increased risk for anastomotic leaks have been described in previous publications. Meticulous preoperative recognition of patients with increased risk for anastomotic insufficiency is clinically beneficial, as it would permit improved ressource preparation, enhanced patient education and superior surgical decision-making. However, it is often difficult for clinicians to balance the plethora of crucial risk factors for anastomotic leaks for a single patient. Machine learning methods have been exceptionally effective at incorporating various clinical variables into one unified risk prediction model. To the authors' best knowledge, there does not yet exist a credible prediction model or a conclusive prediction score for anastomotic insufficiency after colon and colorectal anastomosis. The aim of the Prediction of Anastomotic Insufficiency risk after Colorectal surgery (PANIC) study is to establish and externally validate an efficient machine-learning-based prediction tool based on multicenter data from a range of international centers.

Keywords
Anastomotic Leak
Medical subject headings
Anastomotic Leak, Colorectal Neoplasms, Diverticulum, Crohn Disease, Colitis, Ulcerative, Mesenteric Ischemia

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Occurrence of Anastomotic leak

    Occurrence of anastomotic insufficiency/leak is defined as any clinical signs of leakage, confirmed by radiological examination, endoscopy, clinical examination of the anastomosis, or upon reoperation.

    Measured: 5 years

Secondary outcomes (2)
  1. Occurrence of Death

    Measured: 90 days

  2. Time to diagnosis of anastomotic leak

    Time to diagnosis of a leakage will be calculated as days between the index operation and diagnosis of the leakage by imaging with extraluminal contrast, endoscopy, re-operation, or when fecal containing fluid is objectified in a drainage.

    Measured: 90 days

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted2 Aug 2021
  2. Study start1 Apr 2021
  3. Primary completion31 Dec 2022 (estimated)
  4. Study completion31 Dec 2022 (estimated)

Why it stopped: Change in core study organization

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Other
Time perspective
Other
Enrolment
11,000 participants (estimated)
Target duration
5 Years
IDs, dates and publications
ClinicalTrials.gov ID
NCT04985981
Sponsor's protocol ID
PANIC
Status last verified
Nov 2021
First submitted
22 Jul 2021
Last updated
1 Dec 2021
Results posted
No
Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
Undecided

Questions about this trial

What is this clinical trial studying?

An observational study of Anastomotic Leak and Colorectal Cancer, run by Michel Adamina, MD at 2 sites in Switzerland.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 1 inclusion and 6 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: paused, as of the sponsor's last update on 1 Dec 2021. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 2 sites in Switzerland. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

Results are not available in the source record.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Occurrence of Anastomotic leak (time frame: 5 years). It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 1 Dec 2021.

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