Evidence map›Paper›PMID 33784972›Full record

ArticleBMC anesthesiology2021

Confocal laser endomicroscopy under propofol-based sedation for early gastric cancer and pre-cancerous lesions is associated with better diagnostic accuracy: a retrospective cohort study in China.

Lihua Chu, Jialian Zhao, Cheng Sheng, Min Yue, Feifei Wang, Shengwen Song, Baoli Cheng, Guohao Xie, Xiangming Fang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC anesthesiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
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 3 institutions in 1 country.

Lihua ChuDepartment of Anesthesiology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Zhejiang, Hangzhou, China.
Jialian ZhaoDepartment of Anesthesiology, the Children's Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Cheng ShengDepartment of Anesthesiology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Zhejiang, Hangzhou, China.
Min YueDepartment of Gastroenterology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Feifei WangDepartment of Intensive Care Unit, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Shengwen SongDepartment of Anesthesiology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Zhejiang, Hangzhou, China.
Baoli Cheng *Department of Anesthesiology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Zhejiang, Hangzhou, China. chengbaoli1979@zju.edu.cn.
Guohao Xie *Department of Anesthesiology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Zhejiang, Hangzhou, China. 13958075805@126.com.
Xiangming FangDepartment of Anesthesiology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Zhejiang, Hangzhou, China.
Zhejiang University · CNChildren's Hospital of Zhejiang University · CNNingbo First Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConfocal laser endomicroscopy (CLE) has advantages in detecting gastric neoplastic lesions, meanwhile it requires strict patient cooperation. Sedation could improve patient cooperation and quality of endoscopy. However, sedation is still not very popular in some resource-limited countries and regions. The purpose of this study was to compare propofol-based sedated versus un-sedated CLE in the value of diagnosing early gastric cancer (EGC) and precancerous lesions.

methodsA retrospective, cohort, single center study of 226 patients who underwent CLE between January 1, 2015 and December 31, 2017 was performed. Patients enrolled were allocated into the propofol-based sedated group (n = 126) and the un-sedated group (n = 100). The comparison of validity and reliability of CLE for identifying EGC and precancerous lesions between the two groups was performed through analyzing CLE diagnosis and pathological diagnosis. Reporting followed the STROBE guidelines.

resultsThe area under receiver operating characteristic curve (AUROC) of diagnosing EGC in the sedated group was 0.97 (95 % CI: 0.95 to 0.99), which was higher than that in the un-sedated group (0.88 (95 % CI: 0.80 to 0.97), P = 0.0407). CLE with sedation performed better than without sedation in diagnosing intraepithelial neoplasia and intestinal metaplasia (P = 0.0008 and P = 0.0001, respectively). For patients considered as high-grade intraepithelial neoplasia or EGC by endoscopists, they would not get biopsy during CLE but receive endoscopic submucosal dissection (ESD) subsequently, and the misdiagnosis rate of CLE was 0 % in the sedated group and 27.59 % (95 % CI: 10.30-44.91 %) in the un-sedated group (P = 0.006).

conclusionsPropofol based sedation was associated with improved diagnostic value of CLE for detecting EGC as well as precancerous lesions (intraepithelial neoplasia OR intestinal metaplasia).

Indexed as

LasersAnesthetics, IntravenousCohort StudiesEarly Detection of CancerEndoscopy, GastrointestinalFemaleHumansMaleMicroscopy, ConfocalMiddle AgedPrecancerous ConditionsPropofolReproducibility of ResultsRetrospective StudiesStomach NeoplasmsAnesthetics, IntravenousPropofolConfocal laser endomicroscopyEarly gastric cancerPrecancerous lesionsPropofol‐based sedation

Identifiers

PMID33784972
PMCPMC8008607
OpenAlexW3117283509

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.