Evidence map›Paper›PMID 30624203›Full record

ArticleThe Permanente journal2019

Trend of Surgical Treatment of Localized Renal Cell Carcinoma.

Ramzi B Jabaji, Heidi Fischer, Tyler Kern, Gary W Chien

Abstract readMulticenter Study
In one paragraph

Article in The Permanente journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

4 authors.

Ramzi B JabajiLos Angeles Medical Center, CA.
Heidi FischerResearch and Evaluation for Kaiser Permanente in Pasadena, CA.
Tyler KernLos Angeles Medical Center, CA.
Gary W ChienLos Angeles Medical Center, CA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRapid adoption of robotics has introduced a paradigm change in prostate cancer treatment, with more than 80% of prostatectomies performed robotically in 2015. For treatment of renal cell carcinoma (RCC), this change has not previously been reported. We evaluated trends in surgical management of RCC in Kaiser Permanente Southern California (KPSC) within the last 16 years, especially after adoption of robotics.

methodsFrom January 1999 to September 2015, all KPSC members who underwent surgical treatment of suspected RCC were included retrospectively. Surgical approach, patient age, sex, clinicopathology, Charlson Comorbidity Index, and chronic kidney disease status were analyzed using robust Poisson multivariate regression.

resultsThe study included 5237 patients. Partial nephrectomy was increasingly used during the study period, and its use surpassed radical nephrectomy in 2012. In a multivariate model, partial nephrectomy was associated with lower pathologic tumor stage (p < 0.001) and lower Charlson Comorbidity Index (p = 0.004) vs radical nephrectomy. Robot-assisted laparoscopic partial nephrectomy (RALPN) started in KPSC in March 2011, and its relative use among all RCC surgeries increased in the following 3 years by 125%, 45%, and 14%. Laparoscopic partial nephrectomy and laparoscopic radical nephrectomy were the most frequently used surgical approaches for localized RCC when RALPN started in 2011. However, RALPN surpassed laparoscopic partial nephrectomy and laparoscopic radical nephrectomy in 2012 and 2014, respectively.

conclusionDuring our study, partial nephrectomy became the most common surgery for treatment of localized RCC. Since 2014, RALPN has become the most common renal oncologic surgical modality in KPSC.

Indexed as

AgedAge FactorsCaliforniaCarcinoma, Renal CellComorbidityFemaleHumansKidney NeoplasmsLaparoscopyMaleMiddle AgedNeoplasm StagingNephrectomyPractice Patterns, Physicians'Racial GroupsRenal Insufficiency, Chronic

Identifiers

PMID30624203
PMCPMC6326554

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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.