Evidence map›Paper›PMID 40276059›Full record

ArticleFrontiers in oncology2025

Predictive significance of

Zhang Shilai, Mo Shaozhou, Wei Linlin, Chai Hua, Pu Weiwei, Liu Ziya, Qiu Wenming, Yang Zhi, Liao Hai, Xiao Guoyou

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. 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. 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

10 authors.

Zhang Shilai *Department of Nuclear Medicine, Guangxi Key Clinical Specialty (Department of Nuclear Medicine), Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Mo Shaozhou *Department of Nuclear Medicine, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Wei Linlin *Department of Nuclear Medicine, Guangxi Key Clinical Specialty (Department of Nuclear Medicine), Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Chai Hua *Department of Nuclear Medicine, Guangxi Key Clinical Specialty (Department of Nuclear Medicine), Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Pu WeiweiDepartment of Nuclear Medicine, Guangxi Key Clinical Specialty (Department of Nuclear Medicine), Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Liu ZiyaDepartment of Nuclear Medicine, Guangxi Key Clinical Specialty (Department of Nuclear Medicine), Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Qiu WenmingDepartment of Nuclear Medicine, Guangxi Key Clinical Specialty (Department of Nuclear Medicine), Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Yang ZhiDepartment of Nuclear Medicine, Guangxi Key Clinical Specialty (Department of Nuclear Medicine), Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Liao HaiDepartment of Nuclear Medicine, Guangxi Key Clinical Specialty (Department of Nuclear Medicine), Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.
Xiao GuoyouDepartment of Nuclear Medicine, Guangxi Key Clinical Specialty (Department of Nuclear Medicine), Guangxi Medical University Cancer Hospital, Nanning, Guangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the predictive value of pertinent metabolic parameters of Materials and methods: The data was retrospectively acquired from 105 patients who had been pathologically diagnosed gastric cancer prior to treatment at our institution, including clinical data, laboratory test results, histological information, Results: Among the 105 patients, 27 exhibited positive HER2 expression, while 78 demonstrated negative HER2 expression. Significant differences in MTV and TLG between patients exhibiting positive and negative HER2 expression ( Conclusions: The negative correlations between MTV/TLG and HER2 status demonstrated that HER2-positive tumors are associated with reduced metabolic burden, providing imaging biomarkers for clinical prognostic assessment. Notably, subgroup analysis in gastric adenocarcinoma and Lauren classification subgroups revealed significant negative associations between MTV and HER2 positivity, highlighting MTV's potential utility in predicting HER2 expression across histological subtypes of gastric cancer and supporting its role in precision oncology.

Indexed as

18 F-FDG PET/CTgastric cancerHER2metabolic parametersmetabolic tumor volume (MTV)total lesion glycolysis (TLG)

Identifiers

PMID40276059
PMCPMC12018366

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.