Evidence map›Paper›PMID 33085053›Full record

ArticleInternational urology and nephrology2021

Patterns of surveillance intensity in kidney cancer.

Suzanne B Merrill, Justin Loloi, Eric W Schaefer, Christopher S Hollenbeak

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Article in International urology and nephrology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
–field-weighted citation impact, top 79% of its field
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Suzanne B MerrillDivision of Urology, Department of Surgery, Penn State College of Medicine, The Pennsylvania State University, 500 University Drive, H055, Hershey, PA, 17033-0850, USA. smerrill1@pennstatehealth.psu.edu.ORCID http://orcid.org/0000-0002-6755-8039
Justin LoloiPenn State College of Medicine, Hershey, PA, USA.
Eric W SchaeferDepartment of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA.
Christopher S HollenbeakDepartment of Health Policy and Administration, The Pennsylvania State University, University Park, PA, USA.
Pennsylvania State University · USPenn State Milton S. Hershey Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSurveillance guidelines for kidney cancer following surgery are heterogeneous, making it unclear what factors influence surveillance intensity in practice. Thus, we assessed the patterns of surveillance intensity in kidney cancer after primary surgery among patients ≥ 66 years.

methodsNon-metastatic kidney cancer patients after primary surgery (n = 2433) from 2007 to 2011 were identified in SEER-Medicare. Surveillance intensity was measured as the number of unique inpatient and outpatient claims made for kidney cancer starting 60 days after primary surgery. Multivariable linear regressions assessed relationships between patient factors and surveillance intensity (log-transformed). Parameters were reported using risk ratios (RRs).

resultsPatients diagnosed in contemporary years experienced 10% more surveillance visits/12 months (RR 1.10 for every 1-year increase, 95% CI 1.07-1.13, p < 0.001). Compared to pT1 stage, patients with pT2-4 disease experienced 108% more surveillance visits/12 months (RR 2.08, 95% CI 1.90-2.27, p < 0.001). Both older age and living in a metro/urban area, as compared to a big metropolitan location, were associated with significantly fewer follow-up visits (10-year increase in age: RR 0.89, 95% CI 0.83-0.95, p < 0.001; metro/urban: RR 0.86, 95% CI 0.79-0.93, p < 0.001). Surgery type (radical, partial or ablation), gender, race and Charlson comorbidity score were not significantly associated with surveillance intensity.

conclusionsSimilar to guidelines, surveillance intensity in practice was associated with stage, but not with surgery type. Other factors such as diagnosis year, care location and patient age were associated with the amount of surveillance administered by the clinician. These additional influences are augmenting the heterogeneous delivery of kidney cancer surveillance care.

Indexed as

Kidney NeoplasmsPopulation SurveillanceAgedFemaleHumansMaleMedicarePractice Patterns, Physicians'SEER ProgramUnited StatesGuidelinesKidney cancerNephrectomySurveillance

Identifiers

PMID33085053
OpenAlexW3094391602

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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.