Evidence map›Paper›PMID 35795286›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

Clinical Effect and Postoperative Pain of Laparo-Thoracoscopic Esophagectomy in Patients with Esophageal Cancer.

Yue Yu, Yun Han

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 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 It has been retracted, and should not be counted.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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Yue YuDepartment of Thoracic Surgery, Shengjing Hospital of China Medical University, Shenyang 110004, Liaoning, China.
Yun HanDepartment of Thoracic Surgery, Shengjing Hospital of China Medical University, Shenyang 110004, Liaoning, China.ORCID https://orcid.org/0000-0001-9491-2059
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the clinical effect and postoperative pain of laparo-thoracoscopic esophagectomy in patients with esophageal cancer. Methods: A total of 90 patients with esophageal cancer who were admitted and treated in our hospital from August 2020 to November 2021 were randomly selected as the research subjects for prospective analysis, and the patients were assigned to the control group and the experimental group according to the time of admission equally, with 45 cases in each group. Patients in the control group underwent conventional open surgery, and those in the experimental group underwent laparo-thoracoscopic esophagectomy. Then, operation-related indicators, postoperative pain, inflammatory factors, and complications were compared between the two groups. Results: The operation time, intraoperative blood loss, postoperative drainage, and postoperative length of stays of the experimental group were significantly shorter or less than those of the control group ( Conclusion: Laparo-thoracoscopic esophagectomy can significantly improve the clinical effect in patients with esophageal cancer. Thoracic-laparoscopic esophagectomy can significantly improve the clinical results of patients with esophageal cancer. With better performance in surgery-related indicators, lower inflammatory factor levels and postoperative pain, and fewer postoperative complications, it will speed up patients' recovery and is worthy of clinical promotion and application.

Identifiers

PMID35795286
PMCPMC9251098
OpenAlexW4283590075

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.