Evidence map›Paper›PMID 35437449›Full record

ArticleComputational and mathematical methods in medicine2022

The Effect of Endoscopy on Patients with Malignant Esophageal Cancer after Medical Treatment and Chemotherapy.

Yu Liu, Lingqiong Zhao, Xingping Tan, Nana Liu, Teng Long

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Yu LiuDepartment of Oncology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, China.
Lingqiong ZhaoDepartment of Oncology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing 400014, China.
Xingping TanDepartment of Oncology, People's Hospital of Chongqing Hechuan, Chongqing 401520, China.
Nana LiuDepartment of Oncology, People's Hospital of Chongqing Hechuan, Chongqing 401520, China.ORCID https://orcid.org/0000-0001-5878-9874
Teng LongGeneral Surgery, People's Hospital of Chongqing Hechuan, Chongqing 401520, China.ORCID https://orcid.org/0000-0002-1110-4994
First People's Hospital of Chongqing · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The esophagus is one of the most commonly used parts in a person's life, and its importance is self-evident. With the unhealthy food diet, people are more and more likely to suffer from esophageal cancer, and there is an urgent need for breakthroughs in the treatment of esophageal cancer. This article is aimed at studying the effects of medical treatment and chemotherapy for patients with malignant esophageal cancer. To this end, this article proposes a treatment method based on endoscopy and improves the image imaging of the endoscopy and the image quality of the image and the edge processing of the image. At the same time, this article designs an experiment to conduct statistical analysis of the situation during the treatment process. The experimental results in this article show that the improved treatment method has a 21% increase in success rate compared with the existing treatment method. And the optimized image quality has increased by 27%. It can very well help the attending doctor to improve the efficiency of treatment in the actual treatment process. Its most important contribution is that through the edge optimization and image enhancement processing technology, the success rate of endoscopic treatment has been better improved, and the treatment efficiency has also been improved.

Indexed as

Esophageal NeoplasmsEndoscopyHumansImage EnhancementImage Processing, Computer-Assisted

Identifiers

PMID35437449
PMCPMC9013305
OpenAlexW4223908206

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.