Evidence map›Paper›PMID 42063725›Full record

ArticleFrontiers in oncology2026

Real world report: PSMA-PET/CT-guided TNM restaging and its consequences for treatment planning in prostate cancer.

Han Chen, Peng Xian, Nan Liu, Yanping Song

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. 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

4 authors.

Han ChenDepartment of Urologic Oncology Surgery, Chongqing University Cancer Hospital (Chongqing Cancer Institute & Chongqing Cancer Hospital), Chongqing, China.
Peng XianDepartment of Urologic Oncology Surgery, Chongqing University Cancer Hospital (Chongqing Cancer Institute & Chongqing Cancer Hospital), Chongqing, China.
Nan LiuDepartment of Urologic Oncology Surgery, Chongqing University Cancer Hospital (Chongqing Cancer Institute & Chongqing Cancer Hospital), Chongqing, China.
Yanping SongDepartment of Urologic Oncology Surgery, Chongqing University Cancer Hospital (Chongqing Cancer Institute & Chongqing Cancer Hospital), Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to explore the effect of prostate-specific membrane antigen (PSMA) positron emission tomography and computed tomography (PET/CT) on clinical TNM (cTNM) staging assessment and treatment decision-making in prostate cancer,providing real-world evidence for its clinical application in China. Methods: We retrospectively analyzed the clinical data of 125 prostate cancer patients who underwent PSMA PET/CT at Chongqing University Cancer Hospital from January 2019 to June 2022. The results were compared with traditional imaging methods (bone scan, CT, MRI) in the overlapping subset of patients with both examinations to assess changes in TNM staging and treatment plans. Results: After PSMA PET/CT, TNM staging changed in 48 patients (38.40%), particularly in the primary prostate cancer and pre-radical surgery groups regarding regional lymph node detection (P = 0.007, P = 0.040). CTNM staging was revised in 36 patients (28.80%), most significantly in the post-radical surgery and mCRPC groups (47.06% and 55.88%, respectively; P = 0.036, P = 0.000). Changes in treatment plans did not reach statistical significance for newly diagnosis of Prostate and pre-radical surgery group (P = 0.222,P= 0.151). Conclusion: PSMA PET/CT significantly impacts cTNM staging assessment and treatment decisions in prostate cancer, offering precise evaluation and auxiliary diagnosis.

Indexed as

CTNMMDTprostate cancerprostate-specific membrane antigentreatment planning

Identifiers

PMID42063725
PMCPMC13124483

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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.