Evidence map›Paper›PMID 37646636›Full record

ArticleThe Journal of international medical research2023

Assessment of a Real-world Learning Curve for the Endoscopic Resection of Gastric Gastrointestinal Stromal Tumors.

Ying Sun, Luojie Liu, Dongtao Shi, Chao Ma, Xiaodan Xu

Open access · goldAbstract read
In one paragraph

Article in The Journal of international medical research, 2023. 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
0.8field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Ying SunDepartment of Gastroenterology, Changshu Hospital Affiliated to Soochow University, Suzhou, China.
Luojie LiuDepartment of Gastroenterology, Changshu Hospital Affiliated to Soochow University, Suzhou, China.ORCID 0000-0003-1806-5155
Dongtao ShiDepartment of Gastroenterology, the First Affiliated Hospital of Soochow University. Suzhou, China.
Chao MaDepartment of Gastroenterology, the First Affiliated Hospital of Soochow University. Suzhou, China.
Xiaodan XuDepartment of Gastroenterology, Changshu Hospital Affiliated to Soochow University, Suzhou, China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEndoscopic resection (ER) is a proven treatment for gastric gastrointestinal stromal tumors (gGISTs). We aimed to assess the learning curve (LC) associated with ER for gGISTs and identify determinants.

methodsWe conducted an analysis of 289 patients who underwent the ER of gGISTs by an experienced endoscopist. To characterize the LC, we employed cumulative sum analysis of the duration of surgery. The participants were divided into an early phase (cases 1-50) and a later phase (case 51-289), which were compared. Furthermore, we identified risk factors for the conversion from endoscopic to laparoscopic resection (LR).

resultsThe durations of surgery and hospitalization were shorter, and there were fewer complications and fasting days in the later phase. The conversion rates to LR were 6.0% and 2.5% in the early and later phases, respectively. The tumor diameter (≥3.0 cm) and invasion beyond the muscularis propria were significant risk factors for conversion to LR (odds ratio 17.92, 95% confidence interval 2.66-120.87; and 58.03, 6.40-525.84; respectively).

conclusionsThe LC for ER of gGISTs lasts for approximately 50 cases. In addition, tumors ≥3.0 cm in diameter and those that invade beyond the muscularis propria are more likely to require conversion to LR.

Indexed as

Gastrointestinal Stromal TumorsLaparoscopyStomach NeoplasmsFastingHumansLearning Curvecumulative sum analysisduration of surgeryendoscopic resectiongastrointestinal stromal tumorinvasionlaparoscopic resectionLearning curvemuscularis propria

Identifiers

PMID37646636
PMCPMC10469254
OpenAlexW4386271657

What OpenQuestion holds

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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.