Evidence map›Paper›PMID 36034197›Full record

ArticleContrast media & molecular imaging2022

Research on Improving Radiotherapy Accuracy Based on Image-Guided Radiotherapy.

Shunping Huang, Yang Xiao, Heng Li, Daochang Li

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Contrast media & molecular imaging, 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 It has been retracted, and should not be counted.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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 25% 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, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

  • Retraction · 2023-09-27Concerns/Issues about Data · Concerns/Issues about Results and/or Conclusions · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Informed/Patient Consent - None/Withdrawn · Investigation by Journal/Publisher · Investigation by Third Party · Lack of IRB/IACUC Approval and/or Compliance · Paper Mill · Computer-Aided Content or Computer-Generated Content · Unreliable Results and/or Conclusions · · See also: https://pubpeer.com/publications/28B8EF28104557FC2194BDA0625903
  • Retracted
5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Shunping HuangDepartment of Cancer Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, Jiangsu 404100, China.ORCID 0000-0002-7025-4917
Yang XiaoDepartment of Cancer Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, Jiangsu 404100, China.
Heng LiDepartment of Cancer Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, Jiangsu 404100, China.
Daochang LiDepartment of Cancer Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, Jiangsu 404100, China.
Dalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the changes of people's diet and lifestyle, the number of patients with abdominal malignant tumors is increasing year by year. In order to analyze the effectiveness of cone-beam CT (CBCT) enhancement technology in improving the accuracy of radiotherapy for clinical malignant tumors, 92 patients with abdominal malignant tumor are divided into the control group and the CBCT radiotherapy group. The experimental results show that precise radiotherapy technology can promote the recovery of the immune function of patients with abdominal malignant tumors, improve the effect of treatment, and decrease the incidence of complications.

Indexed as

Radiotherapy, Image-GuidedCone-Beam Computed TomographyHumansRadiotherapy Planning, Computer-Assisted

Identifiers

PMID36034197
PMCPMC9381236
OpenAlexW4290769181

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.