Evidence map›Paper›PMID 36033516›Full record

ArticleFrontiers in oncology2022

Combined SUVmax and localized colonic wall thickening parameters to identify high-risk lesions from incidental focal colorectal

Wenmin Xu, Hansen Li, Ziqian Guo, Linqi Zhang, Rusen Zhang, Long Zhang

Abstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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.

  1. Article
  2. Clinical significance ofJournal of cancer research and clinical oncology · 2024
    Article
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

6 authors.

Wenmin XuDepartment of Endoscopy, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China.
Hansen LiDepartment of Endoscopy, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China.
Ziqian GuoDepartment of Endoscopy, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China.
Linqi ZhangDepartment of Nuclear Medicine, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China.
Rusen ZhangDepartment of Nuclear Medicine, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China.
Long ZhangDepartment of Endoscopy, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the detection ability of Patients and methods: A total of 6394 patients who underwent Results: Of the 6394 patients, 145 patients were found to have incidental focal colorectal FDG uptake foci (2.3%), and 44 patients underwent colonoscopy and pathological examination at the same time. In fact, 45 lesions, including 12 low-risk lesions and 33 high-risk lesions (22 high-risk adenomas, 11 adenocarcinoma), were found by colonoscopy. The area under the ROC curve of SUVmax for low-risk lesions and high-risk lesions was 0.737, and the optimal cut-off value was 6.45 (with a sensitivity of 87.9% and specificity of 58.3%). When SUVmax ≥6.45, the combination of localized CWT parameters has little influence on the sensitivity and specificity of detection; when SUVmax <6.45, the combination of localized CWT parameters can improve the specificity of detection of high-risk lesions, but the sensitivity has little change. In addition, the size of high-risk adenomas discovered incidentally by Conclusions: The combination of SUVmax and localized CWT parameters of

Indexed as

CWThigh-risk lesionsincidental focal colorectal 18F-FDG uptakePET/CTSUVmax

Identifiers

PMID36033516
PMCPMC9416927

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.