Evidence map›Paper›PMID 36568229›Full record

ArticleFrontiers in oncology2022

Siying Dong, Yanmei Li, Jian Chen, Yongliang Li, Pengfei Yang, Juan Li

Abstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Efficacy of [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Pooled it
  2. Journal of racial and ethnic health disparities · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. 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.

Siying DongDepartment of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China.
Yanmei LiDepartment of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China.
Jian ChenDepartment of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China.
Yongliang LiDepartment of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China.
Pengfei YangDepartment of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China.
Juan LiDepartment of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to assess the value of Methods: Sixty patients referred for Results: Among 60 patients, 46 were assigned to the HR group and 16 to the LIR group. In all patients, SUVmax, TL-PSMAp, and PSMA-TVp were moderately correlated with pre-treatment PSA values ( Conclusions: TL-PSMAp had a superior ability to identify high-risk PCa. The semi-quantitative parameters of primary tumor on

Indexed as

18F-PSMA-1007PET/CTprostate cancerrisk stratificationsemi-quantitative parameters

Identifiers

PMID36568229
PMCPMC9768475

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.