Evidence map›Paper›PMID 35495283›Full record

ArticleEuropean urology open science2022

Estimated Glomerular Filtration Rate Decline at 1 Year After Minimally Invasive Partial Nephrectomy: A Multimodel Comparison of Predictors.

Fabio Crocerossa, Cristian Fiori, Umberto Capitanio, Andrea Minervini, Umberto Carbonara, Savio D Pandolfo, Davide Loizzo, Daniel D Eun, Alessandro Larcher, Andrea Mari and 7 more

Abstract read
In one paragraph

Article in European urology open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 4 pooled it
–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

23 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Urinary MicroRNAs as Biomarkers of Urological Cancers: A Systematic Review.International journal of molecular sciences · 2023
    Pooled it
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  9. CT-based AI score associates with perioperative outcomes in nephron-sparing surgery for renal cell carcinoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
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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

17 authors.

Fabio CrocerossaDivision of Urology, VCU Health, Richmond, VA, USA.
Cristian FioriDivision of Urology, San Luigi Hospital, University of Turin, Orbassano, Italy.
Umberto CapitanioUnit of Urology, Division of Experimental Oncology, Urological Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.
Andrea MinerviniDepartment of Experimental and Clinical Medicine, Unit of Oncologic Minimally-Invasive Urology and Andrology, Careggi University Hospital, University of Florence, Florence, Italy.
Umberto CarbonaraDivision of Urology, VCU Health, Richmond, VA, USA.
Savio D PandolfoDivision of Urology, VCU Health, Richmond, VA, USA.
Davide LoizzoDivision of Urology, VCU Health, Richmond, VA, USA.
Daniel D EunDepartment of Urology, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, USA.
Alessandro LarcherUnit of Urology, Division of Experimental Oncology, Urological Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.
Andrea MariDepartment of Experimental and Clinical Medicine, Unit of Oncologic Minimally-Invasive Urology and Andrology, Careggi University Hospital, University of Florence, Florence, Italy.
Antonio Andrea GrossoDepartment of Experimental and Clinical Medicine, Unit of Oncologic Minimally-Invasive Urology and Andrology, Careggi University Hospital, University of Florence, Florence, Italy.
Fabrizio Di MaidaDepartment of Experimental and Clinical Medicine, Unit of Oncologic Minimally-Invasive Urology and Andrology, Careggi University Hospital, University of Florence, Florence, Italy.
Lance J HamptonDivision of Urology, VCU Health, Richmond, VA, USA.
Francesco CantielloDepartment of Urology, Magna Graecia University, Catanzaro, Italy.
Rocco DamianoDepartment of Urology, Magna Graecia University, Catanzaro, Italy.
Francesco PorpigliaDivision of Urology, San Luigi Hospital, University of Turin, Orbassano, Italy.
Riccardo AutorinoDivision of Urology, VCU Health, Richmond, VA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Long-term renal function after partial nephrectomy (PN) is difficult to predict as it is influenced by several modifiable and nonmodifiable variables, often intertwined in complex relations. Objective: To identify variables influencing long-term renal function after PN and to assess their relative weight. Design setting and participants: A total of 457 patients who underwent either robotic ( Outcome measurements and statistical analysis: The 1-yr estimated glomerular filtration rate (eGFR) percentage loss (1YPL), defined as the eGFR percentage change from baseline at 1 yr after surgery, was the outcome endpoint. Predictors evaluated included demographic data, tumor features, and operative and postoperative variables. Bayesian multimodel analysis of covariance was used to build all possible models and compare the fit of each model to the data via model Bayes factors. Bayesian model averaging was used to quantify the support for each predictor via the inclusion Bayes factor (BF Results and limitations: Several models were found to be plausible for estimation of 1YPL. The best model, comprising postoperative eGFR percentage loss (PPL), sex, ischemia technique, and preoperative eGFR, was 207 times more likely than all the other models regarding relative predictive performance. Its components were part of the top 44 models and were the predictors with the highest BF Conclusions: Preoperative eGFR, sex, ischemia technique, and PPL are the best predictors of eGFR percentage loss at 1 yr after minimally invasive PN. Other predictors seem to be irrelevant, as their influence is insignificant or already nested in the effect of these four parameters. Patient summary: Kidney function at 1 year after partial removal of a kidney depends on sex, the technique used to halt blood flow to the kidney during surgery, and kidney function at baseline and in the early postoperative period.

Indexed as

Kidney neoplasmsLaparoscopyPartial nephrectomyRoboticsTreatment outcomes

Identifiers

PMID35495283
PMCPMC9051959

What OpenQuestion holds

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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.