Evidence map›Paper›PMID 28161843›Full record

ArticleInternational urology and nephrology2017

Validation of 3D volumetric-based renal function prediction calculator for nephron sparing surgery.

Renato Corradi, Aashish Kabra, Melissa Suarez, Jacob Oppenheimer, Zhamshid Okhunov, Hugh White, Stephanie Nougaret, Hebert A Vargas, Jaime Landman, Jonathan Coleman and 1 more

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in International urology and nephrology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
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

11 authors.

Renato CorradiDepartment of Urology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Aashish KabraDepartment of Urology, University of Texas Health Science Center San Antonio, 7703, Floyd Curl Drive, San Antonio, TX, USA.
Melissa SuarezDepartment of Urology, University of California-Irvine, Irvine, CA, USA.
Jacob OppenheimerDepartment of Urology, University of Texas Health Science Center San Antonio, 7703, Floyd Curl Drive, San Antonio, TX, USA.
Zhamshid OkhunovDepartment of Urology, University of California-Irvine, Irvine, CA, USA.
Hugh WhiteDepartment of Radiology, University of Texas Health Science Center San Antonio, San Antonio, TX, USA.
Stephanie NougaretDepartment of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Hebert A VargasDepartment of Urology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Jaime LandmanDepartment of Urology, University of California-Irvine, Irvine, CA, USA.
Jonathan ColemanDepartment of Urology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Michael A LissDepartment of Urology, University of Texas Health Science Center San Antonio, 7703, Floyd Curl Drive, San Antonio, TX, USA. liss@uthscsa.edu.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

objectiveTo evaluate a recently published volume-based renal function prediction calculator intended to be used in small renal mass surgical counseling.

methodsRetrospective data collection included three-dimensional calculation of renal mass and parenchyma of patients who have undergone extirpative therapy. The predicted glomerular filtration rate (GFR) was calculated using the online calculator. The predicted GFR was compared with the actual 6-month GFR. The Pearson correlation coefficient, paired t test and root-mean-square error (RMSE) are utilized for statistical analysis.

resultsAfter institutional review board approval, three institutions provided data for analysis. After patients with renal mass size >300 cc, renal size >400 cc or preoperative CKD ≥stage 3 had been excluded, we retrospectively analyzed data from 136 patients. The median mass volume was 22.2 cc (IQR 7-49). In multiple linear regression analysis, the most significant variables predicting postoperative GFR were partial versus radical nephrectomy and preoperative GFR with an overall R

conclusionsThe predictive tool to determine renal function benefit of nephron sparing surgery compared to radical nephrectomy online calculator effectively predicts GFR and could potentially be used to help urologists and patients discuss renal function prior to extirpative renal surgery.

Indexed as

Glomerular Filtration RateAgedCarcinoma, Renal CellClinical Decision-MakingFemaleHumansImaging, Three-DimensionalInternetKidneyKidney NeoplasmsMaleMiddle AgedMultidetector Computed TomographyNephrectomyNephronsOrgan Sparing TreatmentsCalculatorChronic kidney diseasePartial nephrectomyRenal cancerRenal mass

Identifiers

PMID28161843
PMCPMC5589462

What OpenQuestion holds

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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 OpenQuestion graph.