Evidence map›Paper›PMID 32420201›Full record

ArticleTranslational andrology and urology2020

Does race impact functional outcomes in patients undergoing robotic partial nephrectomy?

Ugo G Falagario, Alberto Martini, John Pfail, Patrick-Julien Treacy, Kennedy E Okhawere, Bheesham D Dayal, John P Sfakianos, Ronney Abaza, Daniel D Eun, Akshay Bhandari and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Translational andrology and urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

13 authors at 7 institutions in 2 countries.

Ugo G FalagarioDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Alberto MartiniDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
John PfailDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Patrick-Julien TreacyDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Kennedy E OkhawereDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Bheesham D DayalDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
John P SfakianosDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Ronney AbazaRobotic Urologic Surgery, Ohio Health Dublin Methodist Hospital, Columbus, OH, USA.
Daniel D EunDepartment of Urology, Temple University School of Medicine, Philadelphia, PA, USA.
Akshay BhandariDivision of Urology, Columbia University at Mount Sinai, Miami Beach, FL, USA.
James R PorterSwedish Urology Group, Seattle, WA, USA.
Ashok K HemalDepartment of Urology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Ketan K BadaniDepartment of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn School of Medicine at Mount Sinai · USHouston Methodist · USMount Sinai Medical Center · USSwedish Medical Center · USTemple University · USVita-Salute San Raffaele University · ITWake Forest University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe role of race on functional outcomes after robotic partial nephrectomy (RPN) is still a matter of debate. We aimed to evaluate the clinical and pathologic characteristics of African American (AA) and Caucasian patients who underwent RPN and analyzed the association between race and functional outcomes.

methodsData was obtained from a multi-institutional database of patients who underwent RPN in 6 institutions in the USA. We identified 999 patients with complete clinical data. Sixty-three patients (6.3%) were AA, and each patient was matched (1:3) to Caucasian patients by age at surgery, gender, Charlson Comorbidity Index (CCI) and renal score. Bivariate and multivariate logistic regression analyses were used to evaluate predictors of acute kidney injury (AKI). Kaplan-Meier method and multivariable semiparametric Cox regression analyses were performed to assess prevalence and predictors of significant eGFR reduction during follow-up.

resultsOverall, 252 patients were included. AA were more likely to have hypertension (58.7%

conclusionsAlthough African American patients were more likely to have hypertension, renal function outcomes of robotic partial nephrectomies were not significantly different when stratified by race. However, future studies with larger cohorts are necessary to validate these findings.

Indexed as

Acute kidney injury (AKI)chronic kidney disease (CKD)functional outcomepartial nephrectomy

Identifiers

PMID32420201
PMCPMC7214979
OpenAlexW2983935085

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.