Evidence map›Paper›PMID 24782624›Full record

Trial reportWorld journal of gastroenterology2014

Improved biopsy accuracy in Barrett's esophagus with a transparent cap.

Bai-Li Chen, Xiang-Bin Xing, Jin-Hui Wang, Ting Feng, Li-Shou Xiong, Jin-Ping Wang, Yi Cui

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in World journal of gastroenterology, 2014. 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
0.3field-weighted citation impact, top 39% 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, 8 citations in OpenAlex.

  1. Prevalence and Predictors of Barrett's Esophagus After Negative Initial Endoscopy: Analysis From Two National Databases.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2024
    Article
  2. Review
  3. 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

7 authors at 1 institution in 1 country.

Bai-Li ChenBai-Li Chen, Xiang-Bin Xing, Jin-Hui Wang, Ting Feng, Li-Shou Xiong, Jin-Ping Wang, Yi Cui, Department of Gastroenterology, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China.
Xiang-Bin XingBai-Li Chen, Xiang-Bin Xing, Jin-Hui Wang, Ting Feng, Li-Shou Xiong, Jin-Ping Wang, Yi Cui, Department of Gastroenterology, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China.
Jin-Hui WangBai-Li Chen, Xiang-Bin Xing, Jin-Hui Wang, Ting Feng, Li-Shou Xiong, Jin-Ping Wang, Yi Cui, Department of Gastroenterology, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China.
Ting FengBai-Li Chen, Xiang-Bin Xing, Jin-Hui Wang, Ting Feng, Li-Shou Xiong, Jin-Ping Wang, Yi Cui, Department of Gastroenterology, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China.
Li-Shou XiongBai-Li Chen, Xiang-Bin Xing, Jin-Hui Wang, Ting Feng, Li-Shou Xiong, Jin-Ping Wang, Yi Cui, Department of Gastroenterology, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China.
Jin-Ping WangBai-Li Chen, Xiang-Bin Xing, Jin-Hui Wang, Ting Feng, Li-Shou Xiong, Jin-Ping Wang, Yi Cui, Department of Gastroenterology, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China.
Yi CuiBai-Li Chen, Xiang-Bin Xing, Jin-Hui Wang, Ting Feng, Li-Shou Xiong, Jin-Ping Wang, Yi Cui, Department of Gastroenterology, the First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China.
Shaanxi Research Association for Women and Family · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo evaluate the efficacy of endoscopy with a transparent cap on biopsy positioning in Barrett's esophagus (BE).

methodsOne hundred and sixty-eight patients with suspected BE at endoscopy were enrolled in our study from November 2007 to December 2009 and divided into two groups: transparent cap group (n = 60) and control group (n = 108). Endoscopy with or without a transparent cap and subsequent biopsy of suspected lesions were performed by five experienced endoscopists in our hospital. In both groups, two biopsy specimens were taken from each patient, and the columnar epithelium or goblet cells in histological assessment were used as the diagnostic standard for BE.

resultsIn the transparent cap group, 41 cases were tongue type, while 17 and two cases were identified as island type and circumferential type, respectively. In the control group, 65 tongue-type cases were confirmed, with 38 island-type and five circumferential-type cases. Moreover, there was no significant difference with regard to the composition of endoscopic BE types in the two groups (P > 0.05). In the biopsy specimens, BE was detected in 50 cases in the transparent cap group (83.3%, 50/60), whereas the detection rate in the control group (69.4%, 75/108) was lower compared to that in the transparent cap group (P < 0.05). In addition, goblet cells were recognized in only eight cases (all with columnar epithelium) (8/60, 13.3%) in the transparent cap group, with 11 cases in the control group.

conclusionTransparent cap-fitted endoscopy can guide biopsy positioning in BE without other accompanying complications, thus increasing the detection rate of BE.

Indexed as

EsophagoscopesAdolescentAdultAgedBarrett EsophagusBiopsyChinaEquipment DesignEsophagoscopyEsophagusFemaleHumansMaleMiddle AgedPredictive Value of TestsYoung AdultBarrett’s esophagusBiopsyEndoscopyTransparent cap

Identifiers

PMID24782624
PMCPMC4000508
OpenAlexW1979178273

What OpenQuestion holds

Textmetadata
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.