Evidence map›Paper›PMID 41296030›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2026

A dual-tracer approach for enhanced nodal staging in prostate cancer: the role of [

Ruohua Chen, Yining Wang, Liang Dong, Haitao Zhao, Lianghua Li, Gang Huang, Jianjun Liu

Abstract read
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In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 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. 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.

Ruohua Chen *Department of Nuclear Medicine, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, Shanghai, China.
Yining Wang *Department of Nuclear Medicine, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China.
Liang DongDepartment of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Haitao ZhaoDepartment of Nuclear Medicine, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China.
Lianghua LiDepartment of Nuclear Medicine, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China.
Gang HuangDepartment of Nuclear Medicine, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, Shanghai, China. huang2802@163.com.
Jianjun LiuDepartment of Nuclear Medicine, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, Shanghai, China. nuclearj@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeA subset of newly diagnosed prostate cancer patients harbor occult lymph node metastases (LNM) that are not detected by standard [ METHODOLOGY: We retrospectively analyzed 133 patients with newly diagnosed prostate cancer who were considered node-negative (miN0) by [

resultsPost-surgical pathology confirmed occult LNM in 11.3% (15/133) of patients. On a patient-based analysis, [

conclusionsIn patients with newly diagnosed prostate cancer deemed node-negative by [

Indexed as

Edetic AcidFluorodeoxyglucose F18OligopeptidesPositron Emission Tomography Computed TomographyProstatic NeoplasmsAgedGallium IsotopesGallium RadioisotopesHumansLymphatic MetastasisMaleMiddle AgedNeoplasm StagingRadioactive TracersRetrospective StudiesEdetic AcidFluorodeoxyglucose F18gallium 68 PSMA-11Gallium IsotopesGallium RadioisotopesOligopeptidesPSMA-11Radioactive Tracers[18F]FDG[68 Ga]Ga-PSMA-11Lymph node metastasesProstate cancer

Identifiers

PMID41296030

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.