Evidence map›Paper›PMID 29777405›Full record

ArticleLasers in medical science2018

Ability of blue laser imaging with magnifying endoscopy for the diagnosis of gastric intestinal metaplasia.

Honglei Chen, Yanan Liu, Yi Lu, Xutao Lin, Qiuning Wu, Jiacheng Sun, Chujun Li

Abstract read
PubMed Publisher
In one paragraph

Article in Lasers in medical science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Diagnosis: gastric intestinal metaplasia - what to do next?Current opinion in gastroenterology · 2019
    Review
  7. Article
  8. Article
  9. 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

7 authors at 1 institution in 1 country.

Honglei ChenDepartment of Gastrointestinal Endoscopy, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, No.26 Yuancun Er Heng Rd, Tianhe District, Guangzhou, 510655, Guangdong Province, People's Republic of China. chl_830830@163.com.ORCID http://orcid.org/0000-0002-5860-4734
Yanan LiuDepartment of Gastrointestinal Endoscopy, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, No.26 Yuancun Er Heng Rd, Tianhe District, Guangzhou, 510655, Guangdong Province, People's Republic of China.
Yi LuDepartment of Gastrointestinal Endoscopy, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, No.26 Yuancun Er Heng Rd, Tianhe District, Guangzhou, 510655, Guangdong Province, People's Republic of China.
Xutao LinDepartment of Gastrointestinal Endoscopy, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, No.26 Yuancun Er Heng Rd, Tianhe District, Guangzhou, 510655, Guangdong Province, People's Republic of China.
Qiuning WuDepartment of Gastrointestinal Endoscopy, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, No.26 Yuancun Er Heng Rd, Tianhe District, Guangzhou, 510655, Guangdong Province, People's Republic of China.
Jiacheng SunDepartment of Gastrointestinal Endoscopy, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, No.26 Yuancun Er Heng Rd, Tianhe District, Guangzhou, 510655, Guangdong Province, People's Republic of China.
Chujun LiDepartment of Gastrointestinal Endoscopy, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, No.26 Yuancun Er Heng Rd, Tianhe District, Guangzhou, 510655, Guangdong Province, People's Republic of China. lichujun@mail.sysu.edu.cn.
Sun Yat-sen University · CN

Funding

Guangdong province medical science and technology research fund project A2017273
6 · The paper itself

Abstract

We aimed to determine the utility of blue laser imaging (BLI) with magnifying endoscopy (BLI-ME) for the prediction and diagnosis of gastric intestinal metaplasia (GIM). Participants, aged between 40 and 75 years, undergoing gastroscopy from January to April 2017 were included in this study. The ability of BLI-ME and white light endoscopy (WLE) to detect GIM was assessed by comparing the endoscopic findings with the histological findings. The correlation between the grades of light blue crest (LBC) appearance and histology grade of GIM was calculated. We included 100 participants in this study. GIM was diagnosed in 27 participants; 20 participants were detected by both BLI and WLE, four by BLI only, and three exclusively by random biopsies. The values of sensitivity, specificity, positive predictive values, and negative predictive values for detecting GIM were 34.9, 38.9, 25.4, and 57.1%, respectively, for WLE and 88.9, 96.7, 94.1, and 93.3%, respectively, for BLI-ME. The diagnostic accuracy for GIM was 43% for WLE and 94.0% for BLI-ME. A good correlation between the grades of LBC and the grades of GIM on histology was observed (P < 0.01). BLI-ME achieved a good diagnostic efficiency for detection of GIM. LBC seen on BLI-ME is a typical indicator of GIM.

Indexed as

GastroscopyLasersOptical ImagingAdultAgedDemographyFemaleHumansIntestinesMaleMetaplasiaMiddle AgedStomach NeoplasmsBlue laser imagingDetectionIntestinal metaplasiaMagnifying endoscopyWhite light endoscopy

Identifiers

PMID29777405
OpenAlexW2803405107

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.