Evidence map›Paper›PMID 39329070›Full record

ArticleEuropean urology open science2024

The Detrimental Effect of Metabolic Syndrome on Long-term Renal Function in Patients Undergoing Elective Partial Nephrectomy for Small Renal Masses.

Pietro Scilipoti, Giuseppe Rosiello, Federico Belladelli, Marco Gambirasio, Francesco Trevisani, Arianna Bettiga, Chiara Re, Giacomo Musso, Francesco Cei, Lucia Salerno and 10 more

Abstract read
In one paragraph

Article in European urology open science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

20 authors.

Pietro ScilipotiDepartment of Urology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Giuseppe RosielloDepartment of Urology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Federico BelladelliDepartment of Urology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Marco GambirasioDepartment of Urology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Francesco TrevisaniDepartment of Urology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Arianna BettigaDepartment of Urology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Chiara ReDepartment of Urology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Giacomo MussoDepartment of Urology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Francesco CeiDepartment of Urology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Lucia SalernoDepartment of Urology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Zhe TianCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, Canada.
Pierre I KarakiewiczCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, Canada.
Alexandre MottrieDepartment of Urology, Onze-Lieve-Vrouwziekenhuis, Aalst, Belgium.
Isaline RoweURI, Urological Research Institute, Division of Experimental Oncology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Alberto BrigantiDepartment of Urology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Roberto BertiniDepartment of Urology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Andrea SaloniaDepartment of Urology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Francesco MontorsiDepartment of Urology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Alessandro LarcherDepartment of Urology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Umberto CapitanioDepartment of Urology, IRCCS San Raffaele Scientific Institute, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: Metabolic syndrome (MetS) is a clinical condition associated with higher rates of overall and cardiovascular mortality. There is scarce evidence regarding the impact of MetS on surgical and functional outcomes for patients undergoing partial nephrectomy (PN) for clinically localized small renal masses (SRMs). Methods: We analyzed data from a prospectively maintained institutional database for 690 patients with cT1a renal cancer undergoing PN between 2000 and 2023 at a tertiary referral center. MetS was defined according to international guidelines. Cumulative incidence curves were used to estimate the 5-yr risk of stage IIIB-V chronic kidney disease (CKD) stage and other-cause mortality (OCM). Multivariable regression models were used to analyze the impact of MetS on the risk of complications, acute kidney injury (AKI), stage IIIB-V CKD, and OCM. Key findings and limitations: Overall, 10% of the PN cohort had MetS. The MetS group was older (median age 70 yr, interquartile range [IQR] 65-74 vs 61 yr, IQR 50-69; Conclusions and clinical implications: Patients with MetS had worse postoperative, functional, and survival outcomes after SRM surgery in comparison to patients without MetS. Multidisciplinary care could help in reducing the preoperative metabolic burden in these patients. Further research should explore if alternative approaches (eg, surveillance or focal therapy) could minimize postoperative comorbidities and protect long-term renal function in this population. Patient summary: Patients with a condition called metabolic syndrome who have part of their kidney removed for small kidney tumors are at higher risk of complications and long-term kidney issues. Patient care from a multidisciplinary team could help in reducing the metabolic burden before surgery. Further research is needed to explore if less invasive treatment options could reduce these risks.

Indexed as

Kidney cancerMetabolic syndromePostoperative outcomesRenal cancerRenal functionSurvival

Identifiers

PMID39329070
PMCPMC11424979

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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.