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Nomogram for Predicting Difficult Laparoscopic Appendectomy

Shanghai Jiao Tong University logo

Shanghai Jiao Tong University

Status

Enrolling

Conditions

Emergencies

Treatments

Other: Observations on preoperative and intraoperative factors influencing the difficulty of surgery

Study type

Observational

Funder types

Other

Identifiers

NCT06818942
2025-KY-094(K)

Details and patient eligibility

About

No prior studies have stratified the difficulty of laparoscopic appendectomy (LA). The investigators aimed to investigate preoperative factors as indicators of difficult LAs based on the experience of surgical trainees and to develop a predictive model accordingly.

Full description

Acute appendicitis is the most common cause of surgical emergencies and laparoscopic appendectomy (LA) is usually attempted by surgical trainees. This study aim to explore the preoperative and intraoperative factors affecting the degree of surgical difficulty and to establish a model for validation, so that it can be subsequently replicated in training programs.

Enrollment

500 estimated patients

Sex

All

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Clinical diagnosis of acute appendicitis
  • Participants who underwent laparoscopic appendectomy

Exclusion criteria

  • Participants refused or could not tolerate laparoscopic appendectomy
  • Incomplete preoperative examination or missed information

Trial design

500 participants in 2 patient groups

Difficult laparoscopic appendectomy
Description:
(1) operative time more than 75% of the overall study cases (2) severe intraoperative vascular or uncontrolled bleeding (3) conversion to open approach
Treatment:
Other: Observations on preoperative and intraoperative factors influencing the difficulty of surgery
Non-difficult laparoscopic appendectomy
Description:
the remaining of the entire study cases excluding the difficult cases
Treatment:
Other: Observations on preoperative and intraoperative factors influencing the difficulty of surgery

Trial contacts and locations

1

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Central trial contact

Ling Zhan, Dr

Data sourced from clinicaltrials.gov

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