Evidence map›Paper›PMID 31169140›Full record

ArticleAsian journal of andrology

Establishment of two new predictive models for prostate cancer to determine whether to require prostate biopsy when the PSA level is in the diagnostic gray zone (4-10 ng ml

Jun Liu, Zhi-Qian Wang, Min Li, Ming-Yang Zhou, Yi-Fei Yu, Wei-Wei Zhan

Abstract read
In one paragraph

Article in Asian journal of andrology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. [Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Article
  6. Article
  7. Article
  8. Cancer imaging : the official publication of the International Cancer Imaging Society · 2023
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Diagnosis of Prostate Cancer in Patients with Prostate-Specific Antigen (PSA) in the Gray Area: Construction of 2 Predictive Models.Medical science monitor : international medical journal of experimental and clinical research · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. 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.

Jun LiuDepartment of Ultrasonic Diagnosis, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200025, China.
Zhi-Qian WangDepartment of Ultrasonic Diagnosis, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200025, China.
Min LiDepartment of Ultrasonic Diagnosis, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200025, China.
Ming-Yang ZhouDepartment of Ultrasonic Diagnosis, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200025, China.
Yi-Fei YuDepartment of Ultrasonic Diagnosis, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200025, China.
Wei-Wei ZhanDepartment of Ultrasonic Diagnosis, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200025, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our goal was to establish two new predictive models of prostate cancer to determine whether to require a prostate biopsy when the prostate-specific antigen level is in the diagnostic gray zone. A retrospective analysis of 197 patients undergoing prostate biopsy with prostate-specific antigens between 4 and 10 ng ml

Indexed as

Models, TheoreticalAgedBiopsyHumansMaleMiddle AgedPredictive Value of TestsProstateProstate-Specific AntigenProstatic NeoplasmsSensitivity and SpecificityProstate-Specific Antigenpredictive modelprostate biopsyprostate cancerprostate-specific antigen

Identifiers

PMID31169140
PMCPMC7155794

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.