Evidence map›Paper›PMID 39456613›Full record

ArticleCancers2024

The Added Value of Controlling Nutritional Status (Conut) Score for Preoperative Counselling on Significant Early Loss of Renal Function After Radical Nephrectomy for Renal Cell Carcinoma.

Matteo Boltri, Fabio Traunero, Luca Ongaro, Francesca Migliozzi, Fabio Vianello, Oliviero Lenardon, Francesco Visalli, Lorenzo Buttazzi, Daniele Maruzzi, Carlo Trombetta and 3 more

Abstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  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

13 authors.

Matteo BoltriUrological Clinic, Department of Medical, Surgical and Health Sciences, University of Trieste, 34127 Trieste, Italy.ORCID 0000-0002-5177-6445
Fabio TrauneroUrological Clinic, Department of Medical, Surgical and Health Sciences, University of Trieste, 34127 Trieste, Italy.ORCID 0000-0002-3272-528X
Luca OngaroDepartment of Urology, Royal Free London NHS Foundation Trust, London NW3 2QG, UK.ORCID 0000-0001-5649-4095
Francesca MigliozziUrological Clinic, Department of Medical, Surgical and Health Sciences, University of Trieste, 34127 Trieste, Italy.
Fabio VianelloUrology Unit, "San Giovanni di Dio" Hospital, 34170 Gorizia, Italy.
Oliviero LenardonUrology Department, "Santa Maria degli Angeli" Hospital, 33170 Pordenone, Italy.
Francesco VisalliUrology Department, "Santa Maria degli Angeli" Hospital, 33170 Pordenone, Italy.
Lorenzo ButtazziUrology Department, "Santa Maria degli Angeli" Hospital, 33170 Pordenone, Italy.
Daniele MaruzziUrology Department, "Santa Maria degli Angeli" Hospital, 33170 Pordenone, Italy.ORCID 0000-0002-1553-8060
Carlo TrombettaUrological Clinic, Department of Medical, Surgical and Health Sciences, University of Trieste, 34127 Trieste, Italy.ORCID 0000-0003-0237-544X
Alchiede SimonatoDepartment of Surgical, Oncological and Stomatological Sciences, University of Palermo, 90133 Palermo, Italy.ORCID 0000-0001-9513-4869
Nicola PavanUrological Clinic, Department of Medical, Surgical and Health Sciences, University of Trieste, 34127 Trieste, Italy.ORCID 0000-0001-7355-7625
Francesco ClapsUrological Clinic, Department of Medical, Surgical and Health Sciences, University of Trieste, 34127 Trieste, Italy.ORCID 0000-0003-2812-5553

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesWe aimed at evaluating the impact of Controlling Nutritional Status (CONUT) score on clinically significant decline in estimated glomerular filtration rate (eGFR) in patients with non-metastatic Clear Cell Renal Cell Carcinoma (ccRCC) undergoing radical nephrectomy (RN). MATERIALS AND

methodsWe retrospectively analyzed a multi-institutional cohort of 140 patients with ccRCC who underwent RN between 2016 and 2018 at three Urological Centers. The CONUT score was calculated with an algorithm including serum albumin, total lymphocyte count, and cholesterol. Clinical and pathologic features were analyzed using Fisher's exact test for categorical variables and a Mann-Whitney U test for continuous variables. To define the independent predictors of clinically significant eGFR decline, univariable (UVA) and multivariable (MVA) binomial logistic regression analyses were performed in order to assess the Odds Ratio (OR) with 95% Confidence Intervals (CIs).

resultsThe optimal cut-off value to discriminate between a low and high CONUT score was assessed by calculating the ROC curve. The area under the curve (AUC) was 0.67 (95%CI 0.59-0.78) with the most appropriate cut-off value at 2 points. Overall, 46 patients (32.9%) had a high CONUT score (>2). Statistically significant variables associated with eGFR decline at 24 months were age ≥ 70 (OR 2.01; 95%CI 1.17-3.09;

conclusionsThe CONUT score is a low-time-consuming, cost-effective, and promising tool able to preoperatively screen patients at risk of developing CKD after a RN.

Indexed as

biomarkerschronic kidney diseaseCONUTmorbiditynutritional status assessmentradical nephrectomyRenal Cell Carcinoma

Identifiers

PMID39456613
PMCPMC11506166

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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.