Evidence map›Paper›PMID 30586226›Full record

ArticleThoracic cancer2019

Lung cancer outcome in the setting of chronic kidney disease: Does the glomerular filtration estimation formula matter?

Ming-Shian Lu, Hung-I Lu, Tzu-Ping Chen, Miao-Fen Chen, Chien-Chao Lin, Yuan-Hsi Tseng, Ying-Huang Tsai

Abstract readMulticenter Study
In one paragraph

Article in Thoracic cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Ming-Shian LuDivision of Thoracic and Cardiovascular Surgery, Chang Gung Memorial Hospital at ChiaYi, Putz City, Taiwan.ORCID 0000-0002-9619-0288
Hung-I LuDivision of Thoracic and Cardiovascular Surgery, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University, College of Medicine, Kaohsiung, Taiwan.
Tzu-Ping ChenDivision of Thoracic and Cardiovascular Surgery, Chang Gung Memorial Hospital at Keelung, Keelung City, Taiwan.
Miao-Fen ChenDepartment of Radiation Oncology, Chang Gung Memorial Hospital at ChiaYi, Putz City, Taiwan.
Chien-Chao LinDivision of Thoracic and Cardiovascular Surgery, Chang Gung Memorial Hospital at ChiaYi, Putz City, Taiwan.
Yuan-Hsi TsengDivision of Thoracic and Cardiovascular Surgery, Chang Gung Memorial Hospital at ChiaYi, Putz City, Taiwan.
Ying-Huang TsaiDivision of Pulmonary and Critical Care Medicine, Chang Gung Memorial Hospital at ChiaYi and Department of Respiratory Therapy, Chang Gung University, Putz City, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe survival outcomes of lung cancer patients with coexisting chronic kidney disease (CKD) reported in the literature have been conflicting. We evaluate whether the survival of lung cancer patients with and without CKD differ significantly using two different formulas.

methodsA retrospective, multicenter, propensity-matched study of lung cancer patients with and without CKD was conducted. CKD was defined as an estimated glomerular filtration rate (eGFR) < 60 mL/minute. Kaplan-Meier survival analysis was used to determine survival differences between CKD and non-CKD patients using the Cockcroft-Gault formula (CKD-CG) compared to the Chronic Kidney Disease Epidemiology Collaboration Formula (CKD-EPI).

resultsBaseline clinical characteristics did not differ statistically significantly between the groups. The CKD-CG formula demonstrated median survival of 10.61 months (95% confidence interval [CI] 9.33-11.89) for the non-CKD group compared to 10.58 months (95% CI 9.03-12.13) for the CKD group (P = 0.76). The CKD-EPI formula demonstrated median survival of 9.10 months (95% CI 8.01-10.20) for the non-CKD group compared to 7.59 months (95% CI 6.50-8.68) for the CKD group (P = 0.19). Cox regression analysis using both models revealed that CKD is not an independent risk factor for mortality in lung cancer patients. Although the CKD-EPI formula revealed an increased risk of mortality and the CKD-CG formula revealed decreased survival, these results were not statistically significant.

conclusionLung cancer survival did not differ significantly between CKD and non-CKD patients using either formula.

Indexed as

Glomerular Filtration RateAdenocarcinomaAgedCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellFemaleFollow-Up StudiesHumansLung NeoplasmsMalePrognosisRenal Insufficiency, ChronicRetrospective StudiesRisk FactorsSmall Cell Lung CarcinomaSurvival RateChronic kidney diseaselung canceroutcomesurvival

Identifiers

PMID30586226
PMCPMC6360203

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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.