Evidence map›Paper›PMID 32377601›Full record

ArticleInvestigative and clinical urology2020

Development of the clinical calculator for mortality of patients with metastatic clear cell type renal cell carcinoma: An analysis of patients from Korean Renal Cancer Study Group database.

Jae Young Park, Bum Sik Tae, Chang Wook Jeong, Cheryn Song, Seong Il Seo, Sung Kyu Hong, Jinsoo Chung, Sung-Hoo Hong, Eu Chang Hwang, Cheol Kwak and 4 more

Abstract read
In one paragraph

Article in Investigative and clinical urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. 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

14 authors.

Jae Young ParkDepartment of Urology, Korea University Ansan Hospital, Ansan, Korea.ORCID 0000-0002-6664-6846
Bum Sik TaeDepartment of Urology, Korea University Ansan Hospital, Ansan, Korea.ORCID 0000-0003-2963-7366
Chang Wook JeongDepartment of Urology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0002-2200-5019
Cheryn SongDepartment of Urology, Asan Medical Center, Seoul, Korea.ORCID 0000-0002-1823-4281
Seong Il SeoDepartment of Urology, Samsung Medical Center, Seoul, Korea.ORCID 0000-0002-9792-7798
Sung Kyu HongDepartment of Urology, Seoul National University Bundang Hospital, Seongnam, Korea.ORCID 0000-0002-8344-6774
Jinsoo ChungDepartment of Urology, National Cancer Center, Goyang, Korea.ORCID 0000-0003-2251-5331
Sung-Hoo HongDepartment of Urology, The Catholic University of Korea, Seoul St. Mary's Hospital, Seoul, Korea.ORCID 0000-0002-1952-4010
Eu Chang HwangDepartment of Urology, Chonnam National University Hwasun Hospital, Hwasun, Korea.ORCID 0000-0002-2031-124X
Cheol KwakDepartment of Urology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0002-1987-2111
Ill Young SeoDepartment of Urology, Wonkwang University Hospital, Iksan, Korea.ORCID 0000-0003-2061-8214
Suyeon ParkDepartment of Biostatistics, Soonchunhyang University Seoul Hospital, Seoul, Korea.ORCID 0000-0002-6391-557X
Chanwang ParkAnesthesia Consultants of Indianapolis, Indianapolis, IN, USA.ORCID 0000-0001-5099-5550
Korean Renal Cancer Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To develop the clinical calculator for mortality of patients with metastatic renal cell carcinoma (mRCC) using Korean Renal Cancer Study Group (KRoCS) database. Materials and Methods: Data from 1,115 patients with mRCC treated in 4 hospitals joining KRoCS between 1993 and 2016 were pooled. Five-year survival rates were calculated using Kaplan-Meier curve. A clinical calculator for 5-year mortality was developed using multivariable logistic regression analysis and validated externally using dataset including 916 patients from 4 other hospitals. Results: Overall survival rates and cancer specific survival rate at 5 years were 28.5% and 29.4%, respectively. Among baseline factors, increased neutrophil-lymphocyte ratio (≥4), synchronous metastasis, low albumin (<3.0 g/dL), and low hemoglobin (<lower limit of normal: male, 13 g/dL; female, 11.5 g/dL) were the significant factors in 5-year mortality. Good internal validity was demonstrated with area under the curve estimates being 0.774 at 5-year mortality calculation and the calibration plot. In the external validation, 758 (82.8%) died by 5 years among these patients, with the average model-predicted rate of 72.9%. Conclusions: A clinical calculator has been developed to quantify the risk of death for individual patients after treatment of mRCC. This tool may be useful for patients or their guardians who want to know their prognosis and to identify patients requiring aggressive therapy and additional supportive measures during and after treatment.

Indexed as

AgedCarcinoma, Renal CellDatabases, FactualFemaleHumansKidney NeoplasmsLogistic ModelsMaleMiddle AgedMultivariate AnalysisRepublic of KoreaRetrospective StudiesSurvival RateCarcinomaCarcinoma, renal cellMortalityPrognosis

Identifiers

PMID32377601
PMCPMC7189103

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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.