Evidence map›Paper›PMID 38873329›Full record

ArticleSurgery open science2024

Association of severe obesity with risk of conversion to open in laparoscopic cholecystectomy for acute cholecystitis.

Troy N Coaston, Amulya Vadlakonda, Joanna Curry, Saad Mallick, Nguyen K Le, Corynn Branche, Nam Yong Cho, Peyman Benharash

Abstract 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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
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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

8 authors.

Troy N CoastonDepartment of Surgery, University of California, Los Angeles, CA, USA.
Amulya VadlakondaDepartment of Surgery, University of California, Los Angeles, CA, USA.
Joanna CurryDepartment of Surgery, University of California, Los Angeles, CA, USA.
Saad MallickDepartment of Surgery, University of California, Los Angeles, CA, USA.
Nguyen K LeDepartment of Surgery, University of California, Los Angeles, CA, USA.
Corynn BrancheDepartment of Surgery, University of California, Los Angeles, CA, USA.
Nam Yong ChoDepartment of Surgery, University of California, Los Angeles, CA, USA.
Peyman BenharashDepartment of Surgery, University of California, Los Angeles, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Obesity is a known risk factor for cholecystitis and is associated with technical complications during laparoscopic procedures. The present study seeks to assess the association between obesity class and conversion to open (CTO) during laparoscopic cholecystectomy (LC). Methods: Adult acute cholecystitis patients with obesity undergoing non-elective LC were identified in the 2017-2020 Nationwide Readmissions Database. Patients were stratified by obesity class; class 1 (Body Mass Index [BMI] = 30.0-34.9), class 2 (BMI = 35.0-39.9), and class 3 (BMI ≥ 40.0). Multivariable regression models were developed to assess factors associated with CTO and its association with perioperative complications and resource utilization. Results: Of 89,476 patients undergoing LC, 40.6 % had BMI ≥ 40.0. Before adjustment, class 3 obesity was associated with increased rates of CTO compared to class 1-2 (4.6 vs 3.8 %; Conclusions: Class 3 obesity is a significant risk factor for CTO. Moreover, CTO is associated with increased hospitalization costs and LOS. As the prevalence of obesity grows, improved understanding of operative risk by approach is required to optimize clinical outcomes. Our findings are relevant to shared decision-making and informed consent.

Indexed as

Body mass indexCholecystectomyConversion to openLaparoscopicObesity

Identifiers

PMID38873329
PMCPMC11166894

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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.