Evidence map›Paper›PMID 34285582›Full record

ArticleCancer management and research2021

Prognostic Values of Different Clinicopathological Factors and Predictive Models for Penile Carcinoma.

Yanxiang Shao, Thongher Lia, Yaohui Wang, Kan Wu, Xu Hu, Yang Liu, Shuyang Feng, Shangqing Ren, Zhen Yang, Sanchao Xiong and 4 more

Abstract read
In one paragraph

Article in Cancer management and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

14 authors.

Yanxiang Shao *Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Thongher Lia *Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Yaohui Wang *Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.ORCID 0000-0002-9115-5133
Kan WuDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Xu HuDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.ORCID 0000-0003-4306-4656
Yang LiuDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Shuyang FengDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Shangqing RenDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Zhen YangDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Sanchao XiongDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Weixiao YangDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Qiang WeiDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Hao ZengDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Xiang LiDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.ORCID 0000-0001-8471-0015

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the prognostic factors of penile cancer and the utility of prognostic models.

methodsWe analyzed postoperatively collected data of 311 patients diagnosed with penile cancer. Survival analysis (Kaplan-Meier and cox regression methods) was performed on this cohort. The c-index was used to determine the predictive accuracies of potential prognostic factors. The accuracies of four prognostic models were also evaluated, which were AJCC prognostic stage group for three recent editions, and four nomograms constructed by the Surveillance, Epidemiology, and End Results program (SEER). Two novel nomograms using our data were created and AUC of 2-year survival were determined to compare existing and newly established models.

resultsTumor site, T and N stages, nuclear grade and lymph vascular invasion (LVI) significantly influenced prognosis. The 8th T and N stages had better c-indexes than former editions, while no improvement was seen in the 8thAJCC stage group. 6th AJCC+grade nomogram had a higher c-index than other three nomograms (SEER+grade, 6th TNM+grade, and 6th T

conclusionTumor site, stages, grade, and LVI play important roles in predicting survival of penile cancer. The 8th stages have better predictive accuracy than former editions. We proposed two models with better predictive accuracy than former models; specifically, nomogram 1 may be a more precise and convenient tool for predicting penile cancer outcomes.

Indexed as

external validationnomogrampenile cancersurvivalTNM stage

Identifiers

PMID34285582
PMCPMC8285520

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