Evidence map›Paper›PMID 38764557›Full record

ArticleSurgery open science2024

Comparison of two methods: Clipping and suturing in laparoscopic appendectomy.

Parham Khoshdani Farahani, Neda Safaei

Registry-linked trialAbstract read
In one paragraph

Article in Surgery open science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07115303 (Results of Laparoscopic Appendectomy With Application of Clips Versus Ligature for Stump Closure), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07115303 narecruitingnot on this mapstarted 2025, after this paper: background citation

Results of Laparoscopic Appendectomy With Application of Clips Versus Ligature for Stump Closure: A Comparative Study

TypeinterventionalSponsorSohag UniversityRan2025 to 2026Enrolled80ConditionsAppendicitisArmsLaparoscopic Appendectomy with application of clips for stump closure, Laparoscopic Appendectomy with ligature for stump closure
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Parham Khoshdani FarahaniDepartment of Surgery, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran.
Neda SafaeiStudent Research Committee, Alborz University of Medical Sciences, Karaj, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Closure of the appendix stump after appendectomy is considered one of the most important parts of laparoscopic appendectomy. Various techniques are used during this surgery, commonly including endoclips and ligatures. Therefore, this study was conducted to compare endoclips with intra-corporeal ligatures in closing the appendix stump during laparoscopic appendectomy. Methods: This retrospective study was conducted using data from 50 patients with acute appendicitis who underwent uncomplicated laparoscopic appendectomy. The data from patients whose stumps were closed using endoclips in 25 patients (Group I) and with intra-corporeal ligatures in 25 patients (Group II) were extracted and compared regarding the occurrence of intraoperative and postoperative complications. Results: There were no differences between the two methods in terms of intraoperative and postoperative complications. The duration of surgery in the ligature group was significantly longer than in the clip group ( Conclusion: Endoclips for closing the appendix stump are safer with a shorter operating time and also a simpler method. Therefore, they could be a reliable alternative to the method of closing the appendix stump with ligatures.

Indexed as

AppendectomyEndoclipsIntra-corporealLaparoscopicSurgery

Identifiers

PMID38764557
PMCPMC11099320

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.