Evidence map›Paper›PMID 38280161›Full record

ArticleObesity surgery2024

Can Surgeons Reliably Identify Non-cirrhotic Liver Disease During Laparoscopic Bariatric Surgery?

Alexandra Wuopio, Brett M Baker, Benjamin Koethe, Martin D Goodman, Reuben Shin, Nikolay Bugaev, Dmitry Nepomnayshy, Woon Cho Kim, Thomas Schnelldorfer

Abstract read
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Article in Obesity surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 41% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

9 authors at 4 institutions in 1 country.

Alexandra WuopioDepartment of Surgery, Lahey Hospital and Medical Center, Burlington, MA, 01805, USA.
Brett M BakerSouthern New Hampshire Health, Nashua, NH, USA.
Benjamin KoetheTufts Clinical and Translational Science Institute, Tufts University, and Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, 02111, USA.
Martin D GoodmanDepartment of Surgery, Tufts Medical Center, Boston, MA, 02111, USA.
Reuben ShinDepartment of Surgery, Lahey Hospital and Medical Center, Burlington, MA, 01805, USA.
Nikolay BugaevDepartment of Surgery, Tufts Medical Center, Boston, MA, 02111, USA.
Dmitry NepomnayshyDepartment of Surgery, Lahey Hospital and Medical Center, Burlington, MA, 01805, USA.
Woon Cho KimDepartment of Surgery, Tufts Medical Center, Boston, MA, 02111, USA.
Thomas SchnelldorferDepartment of Surgery, Tufts Medical Center, Boston, MA, 02111, USA. thomas.schnelldorfer@tufts.edu.ORCID 0000-0003-4454-8361
Lahey Hospital and Medical Center · USTufts Medical Center · USTufts University · USSouthern New Hampshire Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIdentification of liver disease during bariatric operations is an important task given the patients risk for occult fatty liver disease. Surgeon's accuracy of assessing for liver disease during an operation is poorly understood. The objective was to measure surgeons' performance on intra-operative visual assessment of the liver in a simulated environment.

methodsLiver images from 100 patients who underwent laparoscopic bariatric surgery and pre-operative ultrasound elastography between July 2020 and July 2021 were retrospectively evaluated. The perception of 15 surgeons regarding the degree of hepatic steatosis and fibrosis was collected in a simulated clinical environment by survey and compared to results determined by ultrasonographic exam.

resultsThe surgeons' ability to correctly identify the class of steatosis and fibrosis was poor (accuracy 61% and 59%, respectively) with a very weak correlation between the surgeon's predicted class and its true class (r = 0.17 and r = 0.12, respectively). When liver disease was present, surgeons completely missed its presence in 26% and 51% of steatosis and fibrosis, respectively. Digital image processing demonstrated that surgeons subjectively classified steatosis based on the "yellowness" of the liver and fibrosis based on texture of the liver, despite neither correlating with the true degree of liver disease.

conclusionLaparoscopic visual assessment of the liver surface for identification of non-cirrhotic liver disease was found to be an inaccurate method during laparoscopic bariatric surgery. While validation studies are needed, the results suggest the clinical need for alternative approaches.

Indexed as

Bariatric SurgeryLaparoscopyNon-alcoholic Fatty Liver DiseaseObesity, MorbidSurgeonsHumansLiverLiver CirrhosisRetrospective StudiesAccuracyBariatric surgeryFibrosisLaparoscopyLiverSteatosis

Identifiers

PMID38280161
OpenAlexW4391282756

What OpenQuestion holds

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Registered trials

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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.