Evidence map›Paper›PMID 40734194›Full record

SynthesisCancer imaging : the official publication of the International Cancer Imaging Society2025

Prognostic significance of

Shaoli Li, Rui Bai, Hui Wang, Qunan Sun, Guannan Wang, Sujing Jiang, Ying Dong

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Cancer imaging : the official publication of the International Cancer Imaging Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. [European journal of nuclear medicine and molecular imaging · 2026
    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

7 authors.

Shaoli LiDepartment of Medical Oncology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
Rui BaiDepartment of Medical Oncology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
Hui WangDepartment of Pathology, Institute of Basic Medicine and Cancer (IBMC), The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Chinese Academy of Sciences, Hangzhou, 310022, China.
Qunan SunDepartment of Geriatrics, Xiaoshan Geriatric Hospital, Hangzhou, 311200, China.
Guannan WangDepartment of Medical Oncology, Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China.
Sujing JiangDepartment of Gastroenterology, The Second Affiliated Hospital, Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325027, China.
Ying DongDepartment of Medical Oncology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China. dongying74@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe role of

objectivesThis meta-analysis aimed to systematically evaluate the prognostic significance of

designThis study is a systematic review and meta-analysis. DATA SOURCES AND

methodsA literature search was conducted in PubMed, Embase, and the Cochrane Library for relevant studies up to January 1st, 2024. Studies exploring the association of maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) with overall survival (OS) and progression-free survival (PFS) in STS were included. Pooled hazard ratio (HR) with 95% confidence interval (CI) was calculated using random-effects models.

resultsNineteen studies with 962 patients were included in our meta-analysis. Among these, 16 studies evaluated the correlation between the SUVmax and OS, 10 studies assessed the relationship between MTV and OS, 9 studies examined the association of TLG with OS, and 8 studies investigated the prognostic value of SUVmax in relation to PFS. The pooled HRs of SUVmax, MTV, and TLG for OS were 1.17 (95% CI: 1.07-1.27),1.87 (95% CI: 1.16-3.03), and 2.00 (95% CI: 0.99-4.01), respectively. For PFS, the pooled HR of SUVmax was1.62 (95% CI: 1.14-2.31).

conclusionThis meta-analysis indicates that the metabolic parameter SUVmax derived from

Indexed as

Fluorodeoxyglucose F18Positron Emission Tomography Computed TomographySarcomaHumansPrognosisRadiopharmaceuticalsFluorodeoxyglucose F18Radiopharmaceuticals18F-Fluorodeoxyglucose positron emission tomography/computed tomographyMeta-analysisPredictionPrognosisSoft tissue sarcoma

Identifiers

PMID40734194
PMCPMC12308899

What Socratic 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 Socratic graph.