Comparing CCI and POSSUM to predict complications after gynecologic cancer surgery
Official title: A Comparison of the Charlson Comorbidity Index (CCI) vs POSSUM Score for Prediction of Perioperative Complications in Patients Undergoing Oncogynecologic Surgery
Run by Mahidol University · NCT07287280 · Data updated 2026-11-12
This project will test whether the Charlson Comorbidity Index (CCI) or the POSSUM score better predicts perioperative complications in adults having elective gynecologic cancer surgery.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | Women only |
| Enrollment | 300 (estimated) |
| Sponsor | Mahidol University Academic / other |
| Locations | 1 site (Bangkok) |
| Status | Recruiting |
| Started | September 1, 2025 |
| Main results expected | June 30, 2027 |
| Study ends | October 31, 2027 |
| Registry record updated | December 17, 2025 |
| Trial ID | NCT07287280 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged over 18 who underwent elective onco-gynecologic surgery at the study center with complete perioperative records are the intended participants.
✕Probably not a fit
Patients who had emergency surgery or whose charts lack key perioperative data (for example, missing anesthetic records) are excluded and would not benefit from the study findings.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational, single-center study will retrospectively calculate CCI and POSSUM scores for adults who underwent elective onco-gynecologic surgeries and compare those scores to recorded perioperative complications and mortality. Investigators will extract comorbidity data, physiological measurements, and operative details from clinical charts to derive each risk score. Statistical analyses will compare discrimination and calibration metrics, such as area under the ROC curve, sensitivity, specificity, and calibration plots, for each tool. The goal is to determine which score more reliably identifies patients at higher risk of complications to inform perioperative planning.
Why it matters
Potential benefit: If one score proves more accurate, clinicians could better identify high-risk patients before surgery and target interventions to reduce complications.
How similar studies have gone: Both CCI and POSSUM have shown predictive value in various surgical populations, but direct head-to-head comparisons in onco-gynecologic surgery remain limited.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age \> 18 years * Patient underwent elective onco-gynecologic surgery Exclusion Criteria: * Patient required emergency surgery from any indication * Patient chart that not contained primary outcome data eg. absent of the anesthetic record
Where it's running
-
Faculty of Medicine Siriraj Hospital, Mahidol University
Bangkok, Thailand Recruiting
Study contacts
- Principal investigator: Patchareya Nivatpumin, M.D. — Department of Anesthesiology, Faculty of Medicine Siriraj Hospital
- Study coordinator: Patchareya Nivatpumin, M.D.
- Email: patchareya.niv@mahidol.ac.th
- Phone: +66896662187
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
Energy needs after head and neck cancer surgery with free flap reconstruction
This study tests how many calories people need before and after free flap surgery for head and neck cancer and whether nutrition relates to recovery and complications.
-
A new treatment model for elderly lung cancer patients
This trial tests a comprehensive, integrated care approach for older adults with lung cancer to improve perioperative management and outcomes.
-
Guiding anesthesia with CoreSys during open abdominal hysterectomy
This trial will test whether using CoreSys monitoring to guide anesthesia in women having elective open abdominal hysterectomy reduces inflammatory and hormonal stress responses after surgery.
-
Using smartwatches, hearing tests, and health records to predict disease risk in adults
This project will try to see if combining smartwatch data, hearing tests, questionnaires, and health records can predict future disease risk for adults living in Taiwan.
-
Cardiac MRI-based prediction tool for outcomes in dilated cardiomyopathy
This project will test whether adding multi-parameter stress perfusion cardiac MRI to routine clinical data can better predict which people with dilated cardiomyopathy will go on to develop heart failure, arrhythmias, hospitalizations, or death.
-
Surgical techniques and outcomes across the lifespan in congenital heart disease in China
See which surgical factors and care patterns affect recovery after heart surgery for people with complex congenital heart disease in China.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.