Evidence map›Paper›PMID 41788997›Full record

ArticleFrontiers in oncology2026

Ting Li, Junhu Wang, Yun Zhang

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Ting Li *Department of Nuclear Medicine, Yuncheng Central Hospital Affiliated to Shanxi Medical University, Yun Cheng, China.
Junhu Wang *Department of Nuclear Medicine, Yuncheng Central Hospital Affiliated to Shanxi Medical University, Yun Cheng, China.
Yun ZhangDepartment of Critical Care Medicine, Yuncheng Central Hospital Affiliated to Shanxi Medical University, Yun Cheng, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of this study is to evaluate the ability of Methods: One-hundred and twenty-five patients with colorectal cancers and 57 with colorectal adenomas were retrospectively analyzed. Parameters assessed on Results: Colorectal carcinomas demonstrated significantly higher SUVmax (P = 0.003), SUVmean (P = 0.005), MTV (P < 0.001) and TLG (P< 0.001). The AUCs for differentiating colorectal carcinomas and adenomas were 0.657, 0.649, 0.979, and 0.987, for SUVmax, SUVmean, MTV, and TLG, respectively. The optimal cut-off value for MTV and TLG was 3.5 and 22.6, respectively, yielding a high sensitivity and specificity (96.5% and 92.5% for MTV, 96.5% and 95.5% for TLG). The optimal cut-off value for SUVmax and SUVmean was 8.8 and 4.4, respectively, yielding a sensitivity of 88.6% for SUVmax and 95.6% for SUVmean, and a low specificity of 42.5% for SUVmax, and 32.5% for SUVmean. Conclusions: Of the

Indexed as

18F-FDGadenomascolorectal carcinomasparametersPET/CT

Identifiers

PMID41788997
PMCPMC12956513

What OpenQuestion holds

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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.