Evidence map›Paper›PMID 32454797›Full record

ReviewMediators of inflammation2020

Detection and Prognosis of Prostate Cancer Using Blood-Based Biomarkers.

Wei Jin, Xiang Fei, Xia Wang, Yan Song, Fangjie Chen

Open access · goldAbstract readReview
In one paragraph

Review in Mediators of inflammation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
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  7. Review
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  15. Highly Selective Optical Sensor Eu (TTA)Frontiers in chemistry · 2020
    Article
  16. Advancements in Biomarkers of Prostate Cancer: A Review.Technology in cancer research & treatment
    Review
  17. Review
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

5 authors at 1 institution in 1 country.

Wei JinDepartment of Urology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.ORCID https://orcid.org/0000-0002-6026-6105
Xiang FeiDepartment of Urology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Xia WangDepartment of Urology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Yan SongDepartment of Urology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.ORCID https://orcid.org/0000-0002-1720-227X
Fangjie ChenDepartment of Medical Genetics, School of Life Sciences, China Medical University, Shenyang, Liaoning, China.ORCID https://orcid.org/0000-0003-0996-3447
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is second only to lung cancer as a cause of death. Clinical assessment of patients and treatment efficiency therefore depend on the disease being diagnosed as early as possible. However, due to issues regarding the use of prostate-specific antigen (PSA) for screening purposes, PCa management is among the most contentious of healthcare matters. PSA screening is problematic primarily because of diagnosis difficulties and the high rate of false-positive biopsies. Novel PCa biomarkers, such as the Prostate Health Index (PHI) and the 4Kscore, have been proposed in recent times to improve PSA prediction accuracy and have shown higher performance by preventing redundant biopsies. The 4Kscore also shows high precision in determining the risk of developing high-grade PCa, whereas elevated PHI levels suggest that the tumor is aggressive. Some evidence also supports the effectiveness of miRNAs as biomarkers for distinguishing PCa from benign prostatic hyperplasia and for assessing the aggressiveness of the disease. A number of miRNAs that possibly act as tumor inhibitors or oncogenes are impaired in PCa. These new biomarkers are comprehensively reviewed in the present study in terms of their potential use in diagnosing and treating PCa.

Indexed as

AdultAgedBiomarkers, TumorBiopsyDisease ProgressionExosomesHumansMaleMiddle AgedPrognosisProspective StudiesProstatic NeoplasmsReproducibility of ResultsTreatment OutcomeBiomarkers, Tumor

Identifiers

PMID32454797
PMCPMC7218965
OpenAlexW3022102160

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.