Evidence map›Paper›PMID 33269254›Full record

ArticleWorld journal of clinical cases2020

Analysis of 234 cases of colorectal polyps treated by endoscopic mucosal resection.

Lu Yu, Na Li, Xiao Mei Zhang, Tao Wang, Wei Chen

Abstract read
In one paragraph

Article in World journal of clinical cases, 2020. 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
–field-weighted citation impact
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.

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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.

Lu YuDepartment of Gastroenterology, Maanshan Central Hospital, Maanshan 243000, Anhui Province, China. yulu0827@163.com.
Na LiDepartment of Gastroenterology, Affiliated Hospital of Southeast University, Nanjing 210009, Jiangsu Province, China.
Xiao Mei Zhang-Department of Gastroenterology, Maanshan Central Hospital, Maanshan 243000, Anhui Province, China.
Tao Wang-Department of Gastroenterology, Maanshan Central Hospital, Maanshan 243000, Anhui Province, China.
Wei Chen-Department of Gastroenterology, Maanshan Central Hospital, Maanshan 243000, Anhui Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal polyps refer to all neoplasms that protrude into the intestinal cavity. Researchers believe that 50%-70% of colorectal cancers originate from adenomatous polyps.

aimTo investigate the endoscopic morphologic features, pathologic types, and clinical situation; evaluate the efficacy and safety of endoscopic mucosal resection (EMR); and guide clinicians in their daily practice.

methodsTwo hundred thirty-four patients who underwent EMR in our hospital from January 1, 2018 to December 31, 2019 were recruited. Data including sex, age, endoscopic morphology of the polyps, and pathological characteristics were analyzed among groups.

resultsA total of 295 polyps were resected from the 234 subjects enrolled in the study, of which 4 (1.36%) were Yamada type I. There were 75 (25.42%) type II, 101 (34.24%) type III, and 115 (38.98%) type IV adenomas. Among them, 41 were non-adenomas, 110 were low-risk adenomas, 139 were high-risk adenomas, and 5 were carcinomas. The differences in distribution were not statistically significant, with

conclusionColorectal polyps ranging from non-adenomatous polyps, low-risk adenomas, and high-risk adenomas to adenocarcinomas each has their own endoscopic features, while EMR, as a mature intervention, has good safety and operability and should be promoted clinically, especially at the primary care level.

Indexed as

1,4-bis (diphenylphosphino) butaneAdenocarcinomasColorectal polypEndoscopic mucosal resectionHigh-risk adenomaRisk factors

Identifiers

PMID33269254
PMCPMC7674734

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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.