Evidence map›Paper›PMID 34901145›Full record

ArticleFrontiers in surgery2021

Predicting Cancer-Specific Survival Among Patients With Prostate Cancer After Radical Prostatectomy Based on the Competing Risk Model: Population-Based Study.

Xianghong Zhou, Shi Qiu, Kun Jin, Qiming Yuan, Di Jin, Zilong Zhang, Xiaonan Zheng, Jiakun Li, Qiang Wei, Lu Yang

Abstract read
In one paragraph

Article in Frontiers in surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. IntegratingCancers · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

10 authors.

Xianghong ZhouDepartment of Urology, National Clinical Research Center for Geriatrics and Center of Biomedical Big Data, Institute of Urology, West China Hospital of Sichuan University, Chengdu, China.
Shi QiuDepartment of Urology, National Clinical Research Center for Geriatrics and Center of Biomedical Big Data, Institute of Urology, West China Hospital of Sichuan University, Chengdu, China.
Kun JinDepartment of Urology, National Clinical Research Center for Geriatrics and Center of Biomedical Big Data, Institute of Urology, West China Hospital of Sichuan University, Chengdu, China.
Qiming YuanDepartment of Urology, National Clinical Research Center for Geriatrics and Center of Biomedical Big Data, Institute of Urology, West China Hospital of Sichuan University, Chengdu, China.
Di JinDepartment of Urology, National Clinical Research Center for Geriatrics and Center of Biomedical Big Data, Institute of Urology, West China Hospital of Sichuan University, Chengdu, China.
Zilong ZhangDepartment of Urology, National Clinical Research Center for Geriatrics and Center of Biomedical Big Data, Institute of Urology, West China Hospital of Sichuan University, Chengdu, China.
Xiaonan ZhengDepartment of Urology, National Clinical Research Center for Geriatrics and Center of Biomedical Big Data, Institute of Urology, West China Hospital of Sichuan University, Chengdu, China.
Jiakun LiDepartment of Urology, National Clinical Research Center for Geriatrics and Center of Biomedical Big Data, Institute of Urology, West China Hospital of Sichuan University, Chengdu, China.
Qiang WeiDepartment of Urology, National Clinical Research Center for Geriatrics and Center of Biomedical Big Data, Institute of Urology, West China Hospital of Sichuan University, Chengdu, China.
Lu YangDepartment of Urology, National Clinical Research Center for Geriatrics and Center of Biomedical Big Data, Institute of Urology, West China Hospital of Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

competing risk analysespost-surgerypredicting modelprostate cancerradical prostatectomy

Identifiers

PMID34901145
PMCPMC8660757

What Socratic 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 Socratic graph.