Evidence map›Paper›PMID 42489991›Full record

ReviewAnnals of surgical oncology2026

Early Identification and Management of Biochemical Recurrence Following Radical Prostatectomy.

Yuxin Duan, Fawei He, Zeng Li, Wenlong Gao, Fang Zhang, Shukui Zhou

Abstract readReview
PubMed Publisher
In one paragraph

Review in Annals of surgical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yuxin Duan *Department of Urology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Fawei He *Department of Ultrasound, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Zeng LiDepartment of Urology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Wenlong GaoDepartment of Urology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China.
Fang ZhangDepartment of Pathology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China. zhangfang@scszlyy.org.cn.
Shukui ZhouDepartment of Urology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China. jackten@aliyun.com.

Funding

Beijing Kangmeng Charity Foundation Health Development Promotion Project-Spark Program-Solid Tumor Research Project wsjk-XH20250516the Research Special Project of the Sichuan Provincial Administration of Traditional Chinese Medicine 25MSZX507
6 · The paper itself

Abstract

Biochemical recurrence (BCR) is a common clinical event after radical prostatectomy (RP). Accurate risk stratification and timely individualized treatment are still major problems in clinical practice and research. Current clinical guidelines and key original studies describe several main components of BCR management after RP, including how BCR is defined, which factors affect prognosis, how imaging is used for evaluation, and which treatment options are available. These components help guide clinical decisions at different stages of care. Recent work has focused on the use of artificial intelligence (AI). Multimodal AI models that integrate clinical features, MRI-based radiomics, and whole-slide image pathology features demonstrate superior performance compared with single-modal approaches in predicting BCR after RP.

Indexed as

Early Detection of CancerNeoplasm Recurrence, LocalProstatectomyProstate-Specific AntigenProstatic NeoplasmsArtificial IntelligenceHumansMalePrognosisProstate-Specific Antigen

Identifiers

What OpenQuestion holds

Textmetadata
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.