Evidence map›Paper›PMID 29849600›Full record

ArticleGastroenterology research and practice2018

Interobserver Agreement in the Diagnosis of Inflammatory Bowel Disease-Associated Neoplasia in China in Comparison to Subspecialized American Gastrointestinal Pathologists.

Xian-Rui Wu, Hua-Shan Liu, Xue-Ying Shi, Wei-Xun Zhou, Zhi-Nong Jiang, Yan Huang, Dipti M Karamchandani, John R Goldblum, Shu-Yuan Xiao, Hong-Fa Zhu and 7 more

Open access · goldAbstract read
In one paragraph

Article in Gastroenterology research and practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 7 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

17 authors at 10 institutions in 2 countries.

Xian-Rui WuDepartment of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Hua-Shan LiuDepartment of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Xue-Ying ShiDepartment of Pathology, Peking University Third Hospital, Beijing, China.
Wei-Xun ZhouDepartment of Pathology, Peking Union Medical College Hospital, Beijing, China.
Zhi-Nong JiangDepartment of Pathology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Yan HuangDepartment of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Dipti M KaramchandaniDepartment of Pathology, Penn State College of Medicine, Hershey, PA, USA.
John R GoldblumDepartment of Pathology, Cleveland Clinic, Cleveland, OH, USA.
Shu-Yuan XiaoDepartment of Pathology, The University of Chicago, Chicago, IL, USA.
Hong-Fa ZhuDepartment of Pathology, The Mount Sinai Hospital, New York, NY, USA.
Michael M FeelyDepartment of Pathology and Laboratory Medicine, University of Florida, Gainesville, FL, USA.
Amy L CollinsworthDepartment of Pathology and Laboratory Medicine, University of Florida, Gainesville, FL, USA.
Ashwini EsnakulaDepartment of Pathology and Laboratory Medicine, University of Florida, Gainesville, FL, USA.
Hao XieDepartment of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
Bo ShenDepartment of Gastroenterology/Hepatology, Cleveland Clinic, Cleveland, OH, USA.
Ping LanDepartment of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Xiu-Li LiuDepartment of Pathology and Laboratory Medicine, University of Florida, Gainesville, FL, USA.ORCID 0000-0001-5791-2017
Sun Yat-sen University · CNUniversity of Florida · USCleveland Clinic · USChinese Academy of Medical Sciences & Peking Union Medical College · CNMount Sinai Hospital · USPeking University · CNPenn State Milton S. Hershey Medical Center · USSir Run Run Shaw Hospital · CNUniversity of Chicago · USYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to evaluate the interobserver variability in diagnosing inflammatory bowel disease (IBD)-associated neoplasia among practicing pathologists from China using telepathology, a practice of remote diagnostic consultation increasingly used nationally and internationally, and its comparison with the interpretation of subspecialized gastrointestinal (GI) pathologists from the United States (US).

methodsEight GI pathologists from the US and 4 pathologists from China with an interest in GI pathology participated in this study. A total of 50 colonic biopsies from patients with a clinical history of IBD from 8 medical centers in China were included. All microscopic slides in each case were digitized using an Aperio system. One pathologist (XL) reviewed the digitized full-slide images, and selected areas of interest were captured at low, medium, and high magnifications at a resolution of 1712 × 1072 pixels and saved as tagged image file format (TIFF) files on read-only DVD. Each pathologist evaluated the images and selected the most appropriate diagnostic category for each case (negative, indefinite, low-grade dysplasia [LGD], high-grade dysplasia [HGD], and carcinoma). A Fleiss' kappa coefficient (

resultsThere was substantial interobserver agreement among 4 pathologists from China on the interpretation of IBD-associated neoplasia (kappa value 0.68, 95% confidence interval: 0.56-0.78). A consensus diagnosis included negative (

conclusionsThis study reveals substantial interobserver agreement for the interpretation of colonic neoplasia in IBD using digitized images among Chinese pathologists as well as between each Chinese pathologist and a consensus diagnosis generated by US GI pathologists.

Identifiers

PMID29849600
PMCPMC5937390
OpenAlexW2800090466

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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.