Evidence map›Paper›PMID 32734457›Full record

Trial reportEuropean journal of nuclear medicine and molecular imaging2021

Le-Le Zhang, Wen-Cheng Li, Zheng Xu, Nan Jiang, Shi-Ming Zang, Lu-Wei Xu, Wen-Bing Huang, Feng Wang, Hong-Bin Sun

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in European journal of nuclear medicine and molecular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
5.7field-weighted citation impact, top 3% of its field
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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it, 86 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Transrectal Ultrasound-Guided Prostate Biopsy with and without PSMA-PET-Targeted Prostate Biopsy for Prostate Cancer Diagnosis.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Trial
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Artificial intelligence in prostate cancer.Chinese medical journal · 2025
    Review
  11. Review
  12. Article
  13. Review
  14. Real-time diagnosis of sampled lesions in targeted biopsy of prostate Cancer using a novel tracer [European journal of nuclear medicine and molecular imaging · 2025
    Article
  15. Article
  16. Review
  17. Comparison betweenAsian journal of urology · 2025
    Article
  18. Diagnostic value of [Frontiers in oncology · 2025
    Article
  19. Real world experience with [EJNMMI reports · 2024
    Article
  20. A comparative study ofBMC medical imaging · 2024
    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

9 authors at 1 institution in 1 country.

Le-Le Zhang *Department of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Wen-Cheng Li *Department of Urology, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Zheng Xu *Department of Urology, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Nan JiangDepartment of Urology, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Shi-Ming ZangDepartment of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Lu-Wei XuDepartment of Urology, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Wen-Bing HuangDepartment of Pathology, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Feng WangDepartment of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China. fengwangcn@hotmail.com.ORCID 0000-0003-1089-3095
Hong-Bin SunDepartment of Urology, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China. docshb@126.com.
Nanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose

methodsThis single-centre study randomly allocated 120 patients with elevated serum prostate-specific antigen (PSA) levels (> 4 ng/ml) to PSMA-PET or TRUS group. Patients with PSMA-avid lesions (SUVmax ≥ 8.0) underwent PSMA-TB via a single-puncture percutaneous transgluteal approach (n = 25), whilst patients with negative PSMA-PET underwent systematic TRUS-GB (n = 35). All patients in the TRUS group underwent TRUS-GB directly (n = 60).

resultsPCa and csPCa were detected in 26/60 (43.3%) and 24/60 (40.0%) patients in the PSMA-PET group and 19/60 (31.6%) and 15/60 (25.0%) in the TRUS group, respectively. In the PSMA-PET group, the detection rate of PCa and csPCa were significantly higher in PSMA-PET-positive than negative patients (PCa, 23/25 (92.0%) vs 3/35 (8.6%), P < 0.01; csPCa, 22/25 (88.0%) vs 2/35 (5.7%), P < 0.01). PSMA-TB detected significantly more PCa and csPCa than TRUS-GB in the TRUS controls (PCa, 21/25 (84.0%) vs 19/60 (31.6%), P < 0.01; csPCa, 20/25 (80.0%) vs 15/60 (25.0%), P < 0.01). PSMA-PET detected significantly more cases of csPCa amongst patients with PSA 4.0-20.0 ng/ml than TRUS (27.02% vs 8.82%, P < 0.05). No haematuria, urinary retention or pelvic infection was observed after PSMA-TB compare with TRUS-GB.

conclusions

Indexed as

Positron Emission Tomography Computed TomographyProstatic NeoplasmsEdetic AcidGallium IsotopesGallium RadioisotopesHumansMaleOligopeptidesProspective StudiesProstate-Specific AntigenUltrasonography, InterventionalEdetic Acidgallium 68 PSMA-11Gallium IsotopesGallium RadioisotopesOligopeptidesProstate-Specific Antigen68Ga-PSMA PET/CTProstate cancerTargeted biopsyTransgluteal approach

Identifiers

PMID32734457
PMCPMC7835307
OpenAlexW3045828804

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.