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Record W4402564014 · doi:10.1016/j.euros.2024.08.019

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

2024· article· en· W4402564014 on OpenAlex
Pietro Scilipoti, Giuseppe Rosiello, Federico Belladelli, Marco Gambirasio, Francesco Trevisani, Arianna Bettiga, Chiara Re, Giacomo Musso, Francesco Cei, Lucia Salerno, Zhe Tian, Pierre I. Karakiewicz, Alexandre Mottrie, Isaline Rowe, Alberto Briganti, R. Bertini, Andrea Salonia, Francesco Montorsi, Alessandro Larcher, Umberto Capitanio

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Urology Open Science · 2024
Typearticle
Languageen
FieldMedicine
TopicRenal cell carcinoma treatment
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsNephrectomyRenal functionMedicineRenal massUrologyTerm (time)KidneyInternal medicine

Abstract

fetched live from OpenAlex

Patients with small renal masses and metabolic syndrome who undergo partial nephrectomy have poorer perioperative, functional and survival outcomes in comparison to patients without metabolic syndrome. Multidisciplinary care can help in managing the metabolic burden in these patients before surgery. 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). 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. 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; p < 0.001) and had worse preoperative kidney function (median estimated glomerular filtration rate 65 [IQR 62–81] vs 88 [IQR 69–98] ml/min/1.73 m 2 ; p < 0.001) than the group without MetS. The MetS group had higher incidence of complications (odds ratio [OR] 1.81, 95% confidence interval [CI] 1.05–3.08; p = 0.03) and postoperative AKI (OR 3.17, 95% CI 1.54–6.41; p = 0.001). The 5-yr risk of stage IIIB–V CKD (45% vs 7.2%; hazard ratio [HR] 2.34, 95% CI 1.27–4.30; p = 0.006) and OCM (14% vs 3.5%; HR 3.00, 95% CI 1.06–8.55; p = 0.039) were also higher in the MetS group. The main limitations are the extended accrual time and unmeasured confounders that could potentially affect outcomes. 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. 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.471

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.291
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it