Evidence map›Paper›PMID 37667341›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2023

Jinhui Yang, Jian Li, Ling Xiao, Ming Zhou, Zhihui Fang, Yi Cai, Yongxiang Tang, Shuo Hu

Open access · goldAbstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Overdiagnosis and Overtreatment in Prostate Cancer.Diseases (Basel, Switzerland) · 2025
    Review
  5. Review
  6. Article
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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

8 authors at 1 institution in 1 country.

Jinhui Yang *Department of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Jian LiDepartment of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Ling XiaoDepartment of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Ming ZhouDepartment of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zhihui Fang *Department of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yi CaiDepartment of Urology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, Hunan, China. cai-yi@csu.edu.cn.
Yongxiang TangDepartment of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China. xyyf0401@qq.com.
Shuo HuDepartment of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China. hushuo2018@163.com.ORCID http://orcid.org/0000-0003-0998-8943
Central South University · CN

Funding

Clinical Research Foundation of the National Clinical Research Center for Geriatric Diseases (XIANGYA) 2020LNJJ01National Natural Science Foundation of China 91859027Natural Science Foundation of Hunan Province 2020JJ5922Science and Technology Innovation Program of Hunan Province 2021RC4056
6 · The paper itself

Abstract

backgroundThe prostate-specific antigen (PSA) has been widely used in screening and early diagnosis of prostate cancer (PCa). However, in the PSA grey zone of 4-10 ng/ml, the sensitivity and specificity for diagnosing PCa are limited, resulting in considerable number of unnecessary and invasive prostate biopsies, which may lead to potential overdiagnosis and overtreatment. We aimed to predict clinically significant PCa (CSPCa) by combining the maximal standardized uptake value (SUVmax) based on

methods81 patients with suspected PCa based on increased serum total PSA (TPSA) levels of 4 - 10 ng/mL who underwent transrectal ultrasound/magnetic resonance imaging (MRI)/PET fusion-guided biopsy were enrolled. Among them, patients confirmed by histopathology were divided into the CSPCa group and the non-CSPCa group, and data on PSA concentration, prostate volume (PV), PSA density (PSAD), free PSA (FPSA)/TPSA, Prostate Imaging-Reporting and Data System version 2.1 (PI-RADS v2.1) score,

resultsCompared to non-CSPCa, CSPCa patients had smaller PVs (median, 31.40 mL), lower FPSA/TPSA (median, 0.12), larger PSADs (median, 0.21 ng/mL

conclusionGiven the low diagnostic accuracy of regular PSA tests, a new prediction model based on the

Indexed as

Prostate-Specific AntigenProstatic NeoplasmsGallium IsotopesGallium RadioisotopesHumansImage-Guided BiopsyMagnetic Resonance ImagingMalePositron Emission Tomography Computed Tomographygallium 68 PSMA-11Gallium IsotopesGallium RadioisotopesProstate-Specific AntigenClinically significant prostate cancerGray zonePET/CTProstate cancerPSMA

Identifiers

PMID37667341
PMCPMC10476329
OpenAlexW4386420939

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.