Evidence map›Paper›PMID 33724697›Full record

ArticleCancer medicine2021

Characteristics and risk differences of different tumor size on localized prostate cancer: A retrospective cohort study in the SEER database.

Zhen Zhou, Feng Yue, Liang Jin, Xiang Liu, Ting-Shuai Zhai, Jia-Xin Zhang, Wen-Yu Gu, Sheng-Hua Liu, Ming Luo, Bo Peng and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Clinicopathologic and survival patterns among prostate carcinosarcoma patients in the U.S. An analysis of SEER database.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2024
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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

12 authors at 2 institutions in 2 countries.

Zhen ZhouDepartment of Urology, Shanghai Tenth People's Hospital,Tongji University School of Medicine, Shanghai, China.ORCID 0000-0003-0763-771X
Feng YueDepartment of Urology, Dalian Friendship Hospital, Dalian, Liaoning, China.
Liang JinDepartment of Urology, Shanghai Tenth People's Hospital,Tongji University School of Medicine, Shanghai, China.
Xiang LiuDepartment of Urology, Shanghai Tenth People's Hospital,Tongji University School of Medicine, Shanghai, China.
Ting-Shuai ZhaiDepartment of Urology, Shanghai Tenth People's Hospital,Tongji University School of Medicine, Shanghai, China.ORCID 0000-0002-1441-6256
Jia-Xin ZhangDepartment of Urology, Shanghai Tenth People's Hospital,Tongji University School of Medicine, Shanghai, China.
Wen-Yu GuDepartment of Urology, Shanghai Tenth People's Hospital,Tongji University School of Medicine, Shanghai, China.
Sheng-Hua LiuDepartment of Urology, Shanghai Tenth People's Hospital,Tongji University School of Medicine, Shanghai, China.
Ming LuoDepartment of Urology, Shanghai Tenth People's Hospital,Tongji University School of Medicine, Shanghai, China.
Bo PengDepartment of Urology, Shanghai Tenth People's Hospital,Tongji University School of Medicine, Shanghai, China.ORCID 0000-0001-5656-2115
Xu-Dong YaoDepartment of Urology, Shanghai Tenth People's Hospital,Tongji University School of Medicine, Shanghai, China.
Lin YeDepartment of Urology, Shanghai Tenth People's Hospital,Tongji University School of Medicine, Shanghai, China.ORCID 0000-0001-5377-2264
Tongji University · CNHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aimed to evaluate the role of tumor size in predicting tumor risk for localized prostate cancer (PCa) patients undergoing radical prostatectomy (RP).

methodsTwenty-five thousand, one hundred twenty-seven men with PCa receiving RP from 2010 to 2015 were extracted from the Surveillance, Epidemiology, and End Results database. Kaplan-Meier plots and multivariable Cox regression analyses were used to illustrate overall survival (OS) according to the tumor size. The tumor size was confirmed by postoperative pathology after RP.

resultsAmong overall localized PCa, 84.6% were high-risk PCa, 9.2% were intermediate-risk PCa, and 6.2% were low-risk PCa. Multivariate analyses demonstrated that tumor size ≥21 mm was an independent risk predict factor of low-risk PCa (odds ratio [OR]: 11.940; 95% CI, 9.404-15.161; p < 0.001) and intermediate-risk PCa (OR: 1.887; 95% CI, 1.586-2.245; p < 0.001). Tumor sizes ≤5 mm significantly correlated with high-risk PCa (p < 0.001). Tumor size ≤5 mm had the worst OS in overall localized PCa and high-risk PCa (p < 0.001).

conclusionsIn localized PCa, tumor sizes ≥21 mm may help predict low or intermediate-risk PCa, while tumor sizes ≤5 mm might help predict high-risk PCa. In clinical practice, we should be on high alert for patients with tumors size ≤5 mm due to its poor prognosis after RP.

Indexed as

AgedHumansKaplan-Meier EstimateMaleMiddle AgedProportional Hazards ModelsProstatic NeoplasmsRetrospective StudiesRisk FactorsSEER Programdiseases stageslocalized prostate cancerodds radioprognosistumor size

Identifiers

PMID33724697
PMCPMC8026935
OpenAlexW3137656427

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.