Evidence map›Paper›PMID 39839749›Full record

ArticleAmerican journal of clinical and experimental urology2024

Impact of race-based calculations of eGFR on the management of muscle invasive bladder cancer.

Amir Khan, Shu Wang, Kathryn Hughes Barry, Eberechukwu Onukwugha, Michael Phelan, Rehan Choudhry, Mohummad Minhaj Siddiqui

Abstract read
In one paragraph

Article in American journal of clinical and experimental urology, 2024. 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
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1 · What the graph read from it

What it found

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2 · The registry

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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

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0 citing papers in PubMed.

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4 · The record

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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

7 authors.

Amir KhanDivision of Urology, Department of Surgery, School of Medicine, University of Maryland Baltimore, MD, USA.
Shu WangDivision of Urology, Department of Surgery, School of Medicine, University of Maryland Baltimore, MD, USA.
Kathryn Hughes BarryDivision of Cancer Epidemiology, Department of Epidemiology and Public Health, School of Medicine, University of Maryland Baltimore, MD, USA.
Eberechukwu OnukwughaDivision of Practice, Sciences and Health Outcomes Research, School of Pharmacy, University of Maryland Baltimore, MD, USA.
Michael PhelanDivision of Urology, Department of Surgery, School of Medicine, University of Maryland Baltimore, MD, USA.
Rehan ChoudhryDivision of Urology, Department of Surgery, School of Medicine, University of Maryland Baltimore, MD, USA.
Mohummad Minhaj SiddiquiDivision of Urology, Department of Surgery, School of Medicine, University of Maryland Baltimore, MD, USA.

Funding

Epigenomic and transcriptomic markers of aggressive prostate cancer among African American menK07CA230182 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI BARRY, KATHRYN HUGHES · 2018 to 2023
$827k
NCI NIH HHS K07 CA230182
6 · The paper itself

Abstract

purposeThe estimated glomerular filtration rate (eGFR) has historically been calculated with a race-coefficient multiplier (RCM); however, the RCM has been broadly criticized as inaccurate and a potential contributor to exacerbating disparities. We evaluated the impact of the RCM on eGFR and examined the 30-day post-cystectomy complications in a muscle-invasive bladder cancer cohort. MATERIALS AND

methodsWe retrospectively analyzed patients diagnosed with MIBC who underwent cystectomy in the ACS NSQIP database from 2006 to 2020 using CPT and ICD codes. The eGFR was computed using the Modification of Diet in Renal Diseases equation which has RCM = 1.212 for black patients. Using the race data field, patients were categorized into Black and non-Black. The eGFR cut-off of 60 mL/min/1.73 m

resultsThe application of the RCM to estimate eGFR in the Black cohort increased the mean eGFR from 57.8 to 70.0 ml/min/1.73 m

conclusionIn this study, we found that inclusion of RCM in the eGFR significantly increases the proportion of Black patients with eGFR≥60. This RCM might also be associated with higher post-cystectomy CV&P complications; therefore, future studies are needed to evaluate the implications of race-based algorithms on outcomes.

Indexed as

Estimated glomerular filtration rate (eGFR)outcomesrace factorsracial disparitiesurinary bladder neoplasms

Identifiers

PMID39839749
PMCPMC11744352

What Socratic holds

Textmetadata
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Registered trials

None linked

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 Socratic graph.