Evidence map›Paper›PMID 36262991›Full record

ArticleContrast media & molecular imaging2022

Clinical Value of PET.CT Based on Big Data in Colorectal and Peritoneal Metastatic Cancer.

Lili Xiang, Chuanhua Yang, Wenneng Liu, Dong Li, Zongze Jiang, Huijun Zhou

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 It has been retracted, and should not be counted.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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-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

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

6 authors at 2 institutions in 1 country.

Lili XiangDepartment of Gastrointestinal Surgery, West China School of Public Health and West China Fourth Hospital, Chengdu 61000, Sichuan, China.ORCID 0000-0001-9964-3556
Chuanhua YangDepartment of Gastrointestinal Surgery, West China School of Public Health and West China Fourth Hospital, Chengdu 61000, Sichuan, China.
Wenneng LiuDepartment of Gastrointestinal Surgery, West China School of Public Health and West China Fourth Hospital, Chengdu 61000, Sichuan, China.
Dong LiDepartment of Gastrointestinal Surgery, West China School of Public Health and West China Fourth Hospital, Chengdu 61000, Sichuan, China.
Zongze JiangDepartment of Gastrointestinal Surgery, West China School of Public Health and West China Fourth Hospital, Chengdu 61000, Sichuan, China.
Huijun ZhouDepartment of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China.ORCID 0000-0002-9893-026X
West China Medical Center of Sichuan University · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study focuses on the evaluation of the clinical utility of PET-CT imaging in peritoneal metastases and colorectal cancer. One hundred patients with colorectal peritoneal metastases, who underwent whole-body PET-CT imaging from January 2015 to December 2019, were selected as the experimental group, and 20 healthy individuals were selected as the control group. The SUVmax of the two groups of patients was 5.73 ± 3.84 and 2.70 ± 2.32, respectively, and the difference was statistically significant. The SUVmax AUC was 0.720, and the AUC of serum AFP, CEA, CA125, and CA199 were 0.596, 0.677, 0.642, and 0.696, respectively.

Indexed as

Colorectal NeoplasmsPeritoneal Neoplasmsalpha-FetoproteinsBig DataFluorodeoxyglucose F18HumansPositron Emission Tomography Computed TomographyTomography, X-Ray Computedalpha-FetoproteinsFluorodeoxyglucose F18

Identifiers

PMID36262991
PMCPMC9546711
OpenAlexW4298120746

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.