Evidence map›Paper›PMID 35075394›Full record

ArticleJournal of healthcare engineering2022

Factors Affecting Adenoma Risk Level in Patients with Intestinal Polyp and Association Analysis.

Ying Dai, Weimin Chen, Xuanfu Xu, Jianqing Chen, Wenhui Mo, Yiming Chen, Shuqi Xu

Open access · hybridAbstract read
In one paragraph

Article in Journal of healthcare engineering, 2022. 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
0.5field-weighted citation impact, top 38% 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, 3 citations in OpenAlex.

  1. Observational
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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

7 authors.

Ying DaiDepartment of Gastroenterology, Shidong Hospital of Yangpu District, Shanghai 200438, China.
Weimin ChenDepartment of Gastroenterology, Shidong Hospital of Yangpu District, Shanghai 200438, China.
Xuanfu XuDepartment of Gastroenterology, Shidong Hospital of Yangpu District, Shanghai 200438, China.
Jianqing ChenDepartment of Gastroenterology, Shidong Hospital of Yangpu District, Shanghai 200438, China.
Wenhui MoDepartment of Gastroenterology, Shidong Hospital of Yangpu District, Shanghai 200438, China.
Yiming ChenDepartment of Gastroenterology, Shidong Hospital of Yangpu District, Shanghai 200438, China.
Shuqi XuDepartment of Gastroenterology, Shidong Hospital of Yangpu District, Shanghai 200438, China.ORCID 0000-0002-6904-9115

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the factors affecting the adenoma risk level in patients with intestinal polyp and association.

methodsThe clinical data of 3,911 patients with intestinal polyp treated in our hospital from January 2018 to January 2021 were retrospectively analyzed, all patients accepted the histopathological examination, their risk of suffering from adenoma was evaluated according to the results of pathological diagnosis, and relevant hazard factors affecting adenoma risk level in them were analyzed by multifactor logistic regression analysis.

resultsThe results of multifactor logistic analysis showed that male gender, age ≥60 years, number of polyps >3, diameter ≥2 cm, onset at colon, and physiologically tubulovillous adenoma were the hazard factors causing high-grade adenoma risk in patients with intestinal polyp.

conclusionThere are many risk factors causing high-grade adenoma in patients with intestinal polyp, and therefore, the screening for high-risk population shall be enhanced to reduce the potential of carcinomatous change in such patients.

Indexed as

AdenomaColonic PolypsColonHumansIntestinal PolypsMaleMiddle AgedRetrospective Studies

Identifiers

PMID35075394
PMCPMC8783700
OpenAlexW4206023748

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.