Evidence map›Paper›PMID 36636233›Full record

ArticleAmerican journal of nuclear medicine and molecular imaging2022

Comparison of PSMA-based

Trinh T Nguyen, Priya R Bhosale, Guofan Xu, Tinsu Pan, Peng Wei, Yang Lu

Open access · greenAbstract read
PubMed Full text at PMC
In one paragraph

Article in American journal of nuclear medicine and molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. PSMA-basedAmerican journal of nuclear medicine and molecular imaging · 2022
    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

6 authors at 1 institution in 1 country.

Trinh T NguyenDepartment of Nuclear Medicine, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center Houston, United States.
Priya R BhosaleDepartment of Abdominal Imaging, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center Houston, United States.
Guofan XuDepartment of Nuclear Medicine, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center Houston, United States.
Tinsu PanDepartment of Imaging Physics, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center Houston, United States.
Peng WeiDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center Houston, United States.
Yang LuDepartment of Nuclear Medicine, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center Houston, United States.
The University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo directly compare the performance of pelvic mpMRI versus recently approved and increasingly used PSMA-based

methodsA retrospective analysis was performed on patients who had

resultsA total of 57 patients with 57 paired exams were included. The rate of concordant exams was 43/57 or 75.4%. Lesion-based analyses of sensitivity, specificity, PPV and NPV for mpMRI and

conclusionOur study demonstrated that PSMA-based

Indexed as

18F-DCFPyLmetastasesMRIPET/CTprostate cancerPSMA

Identifiers

PMID36636233
PMCPMC9831857
OpenAlexW4315928763

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.