Evidence map›Paper›PMID 30104082›Full record

ArticleEuropean urology2018

Below Safety Limits, Every Unit of Glomerular Filtration Rate Counts: Assessing the Relationship Between Renal Function and Cancer-specific Mortality in Renal Cell Carcinoma.

Alessandro Antonelli, Andrea Minervini, Marco Sandri, Roberto Bertini, Riccardo Bertolo, Marco Carini, Maria Furlan, Alessandro Larcher, Guglielmo Mantica, Andrea Mari and 7 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European urology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Management and optimization of chronic renal insufficiency in the setting of kidney cancer A Systematic Review.International braz j urol : official journal of the Brazilian Society of Urology
    Pooled it
  5. Trial
  6. Trial
  7. Article
  8. Urinary NephroCheckBMC nephrology · 2025
    Observational
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Alessandro AntonelliDepartment of Urology, Spedali Civili Hospital, University of Brescia, Brescia, Italy. Electronic address: alessandro_antonelli@me.com.
Andrea MinerviniDepartment of Urology, Careggi Hospital, University of Florence, Florence, Italy.
Marco SandriData Methods and Systems Statistical Laboratory, University of Brescia, Brescia, Italy.
Roberto BertiniDivision of Experimental Oncology, Department of Urology, URI-Urological Research Institute, Vita-Salute San Raffaele University, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Riccardo BertoloDepartment of Urology, San Luigi Gonzaga Hospital, School of Medicine, Orbassano, Turin, Italy.
Marco CariniDepartment of Urology, Careggi Hospital, University of Florence, Florence, Italy.
Maria FurlanDepartment of Urology, Spedali Civili Hospital, University of Brescia, Brescia, Italy.
Alessandro LarcherDivision of Experimental Oncology, Department of Urology, URI-Urological Research Institute, Vita-Salute San Raffaele University, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Guglielmo ManticaDepartment of Urology, IRCCS San Martino Hospital, University of Genoa, Genoa, Italy.
Andrea MariDepartment of Urology, Careggi Hospital, University of Florence, Florence, Italy.
Francesco MontorsiDivision of Experimental Oncology, Department of Urology, URI-Urological Research Institute, Vita-Salute San Raffaele University, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Carlotta PalumboDepartment of Urology, Spedali Civili Hospital, University of Brescia, Brescia, Italy.
Francesco PorpigliaDepartment of Urology, San Luigi Gonzaga Hospital, School of Medicine, Orbassano, Turin, Italy.
Paola RomagnaniDepartment of Biomedical Experimental and Clinical Science "Mario Serio", University of Florence, Florence, Italy.
Claudio SimeoneDepartment of Urology, Spedali Civili Hospital, University of Brescia, Brescia, Italy.
Carlo TerroneDepartment of Urology, IRCCS San Martino Hospital, University of Genoa, Genoa, Italy.
Umberto CapitanioDivision of Experimental Oncology, Department of Urology, URI-Urological Research Institute, Vita-Salute San Raffaele University, IRCCS San Raffaele Scientific Institute, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe hypothesis that renal function could influence oncological outcomes is supported by anecdotal literature.

objectiveTo determine whether estimated glomerular filtration rate (eGFR) is related to cancer-specific mortality (CSM) in patients who had undergone surgery for renal cell carcinoma (RCC). DESIGN, SETTING, AND

participantsA retrospective analysis of 3457 patients who underwent radical (39%) or partial nephrectomy (61%) for cT1-2 RCC between 1990 and 2015. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The eGFR was calculated by the Chronic Kidney Disease Epidemiology Collaboration equation. CSM was analyzed in a multivariable competing-risk framework, estimating the subdistribution hazard ratio (SHR) accounting for deaths from other causes. The relationship between eGFR and CSM was investigated from multiple statistical approaches-extended Cox regression with eGFR incorporated as a time-dependent covariate, landmark analysis, and joint modeling. Other predictors were selected by competing-risk random forest method and backward elimination. RESULTS AND LIMITATIONS: The relationship between eGFR and CSM was graphically described by a linear spline, i.e. a continuous piecewise linear function with two lines joined by a knot. For eGFR treated as a time-dependent covariate, the knot was located at 65ml/min; at landmark analysis with eGFR at the baseline, 12 mo, and last functional follow-up, the knots were 85, 60, and 65ml/min, respectively. In multivariable competing-risk analysis, CSM was associated with eGFR only for values of eGFR below these cutoffs, with SHRs for every 10ml/min of reduction in eGFR of 1.25 (p=0.003), 1.16 (p=0.028), 1.44 (p=0.02), and 1.16 (p=0.042), corresponding to time-dependent eGFR, and eGFR at baseline, 12 mo, and last functional follow-up, respectively. Joint modeling confirmed these results. A retrospective design with inherent biases in data collection represents a limitation.

conclusionsIn patients undergoing surgery for RCC, renal function should be preserved in order to improve cancer-related survival. PATIENT SUMMARY: The relationship between renal function and probability of dying due to renal cancer is complex. The present study found a correlation between glomerular filtration rate and cancer specific mortality that could reconsider the oncological role of renal function in patients undergoing surgery for renal cancer.

Indexed as

Glomerular Filtration RateAgedClinical Decision-MakingFemaleHumansItalyKidney NeoplasmsMaleMiddle AgedNephrectomyRetrospective StudiesRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeCancer-specific mortalityEstimated glomerular filtration ratePartial nephrectomyPrognosisRadical nephrectomyRenal cell carcinomaRenal function

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.