Evidence map›Paper›PMID 26660495›Full record

ArticleJournal of cancer research and clinical oncology2016

Age-adjusted Charlson comorbidity index is a significant prognostic factor for long-term survival of patients with high-risk prostate cancer after radical prostatectomy: a Bayesian model averaging approach.

Joo Yong Lee, Ho Won Kang, Koon Ho Rha, Nam Hoon Cho, Young Deuk Choi, Sung Joon Hong, Kang Su Cho

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

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0cells of the map it votes in
16citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Time-Sensitive Antibiotic Adjustments in Gram-Negative Bacteremia: A Survival Perspective.Medical science monitor : international medical journal of experimental and clinical research · 2025
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Joo Yong LeeDepartment of Urology, Severance Hospital, Urological Science Institute, Yonsei University College of Medicine, Seoul, Korea.
Ho Won KangDepartment of Urology, Chungbuk National University College of Medicine, Cheongju, Korea.
Koon Ho RhaDepartment of Urology, Severance Hospital, Urological Science Institute, Yonsei University College of Medicine, Seoul, Korea.
Nam Hoon ChoDepartment of Pathology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Young Deuk ChoiDepartment of Urology, Severance Hospital, Urological Science Institute, Yonsei University College of Medicine, Seoul, Korea.
Sung Joon HongDepartment of Urology, Severance Hospital, Urological Science Institute, Yonsei University College of Medicine, Seoul, Korea.
Kang Su ChoDepartment of Urology, Gangnam Severance Hospital, Urological Science Institute, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, Korea. kscho99@yuhs.ac.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe investigated the long-term prognostic impact of age-adjusted Charlson comorbidity index (ACCI) on overall mortality (OM), cancer-specific mortality (CSM), and other-cause mortality (OCM) according to risk stratification in patients with prostate cancer who underwent radical prostatectomy.

methodsData from 542 patients who underwent radical prostatectomy between 1992 and 2006 were analyzed. The impact of preoperative variables including age, prostate-specific antigen, biopsy Gleason sum, clinical stage, and ACCI on OM, CSM, and OCM were analyzed according to risk groups, with a median follow-up of 101 months.

resultsSubjects were stratified into either the high-risk group (n = 241) or the non-high-risk group (n = 301). Cox proportional hazards model demonstrated that the ACCI was the only significant predictor for OM in all patients (hazard ratio, HR 1.41; 95 % confidence interval, CI 1.19-1.66), non-high-risk group (HR 1.45; 95 % CI 1.09-1.91), and high-risk group (HR 1.37; 95 % CI 1.11-1.69). In competing risk analysis, CSM was not associated with the ACCI in either risk group. However, the ACCI had a significant impact on OCM in both the non-high-risk (HR 1.55; 95 % CI 1.16-2.1) and high-risk groups (HR 1.60; 95 % CI 1.23-2.08). A Bayesian model averaging approach verified that the ACCI was the most powerful predictor for OM and OCM in the both high-risk and non-high-risk groups.

conclusionsA thorough assessment of comorbidities is mandatory in establishing prognoses, even when considering invasive treatment modalities in high-risk prostate cancer patients.

Indexed as

ProstatectomyAgedAge FactorsBayes TheoremBiomarkers, TumorComorbidityHumansKaplan-Meier EstimateLymphatic MetastasisMaleMiddle AgedNeoplasm GradingNeoplasm StagingPredictive Value of TestsPrognosisProportional Hazards ModelsBiomarkers, TumorProstate-Specific AntigenBayes theoremComorbidityMortalityProstatic neoplasmsRisk

Identifiers

PMID26660495
PMCPMC11819223

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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.