Evidence map›Paper›PMID 38891093›Full record

ArticleCells2024

First-Line Treatments and Management of Metastatic Renal Cell Carcinoma Patients: An Italian Interdisciplinary Uro-Oncologic Group Algorithm.

Francesco Bloise, Fiorella Manfredi, Luca Zatteri, Giovanni Dima, Chiara Carli, Rosanna Di Vita, Maria Olivieri, Enrico Sammarco, Marco Ferrari, Alessia Salfi and 9 more

Abstract read
In one paragraph

Article in Cells, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Biomedicines · 2026
    Article
  2. Review
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

19 authors.

Francesco BloiseMedical Oncology Unit, San Donato Hospital, Azienda Toscana Sud Est, 52100 Arezzo, Italy.ORCID 0009-0005-9375-2184
Fiorella ManfrediMedical Oncology Unit, Sant'Andrea Hospital, Azienda Sanitaria Locale 5 Spezzino, 19124 La Spezia, Italy.
Luca ZatteriMedical Oncology Unit 2, Santa Chiara Hospital, Azienda Ospedaliero-Universitaria Pisana, 56124 Pisa, Italy.
Giovanni DimaMedical Oncology Unit 2, Santa Chiara Hospital, Azienda Ospedaliero-Universitaria Pisana, 56124 Pisa, Italy.ORCID 0000-0002-1973-734X
Chiara CarliMedical Oncology Unit 2, Santa Chiara Hospital, Azienda Ospedaliero-Universitaria Pisana, 56124 Pisa, Italy.
Rosanna Di VitaMedical Oncology Unit 2, Santa Chiara Hospital, Azienda Ospedaliero-Universitaria Pisana, 56124 Pisa, Italy.
Maria OlivieriMedical Oncology Unit 2, Santa Chiara Hospital, Azienda Ospedaliero-Universitaria Pisana, 56124 Pisa, Italy.
Enrico SammarcoMedical Oncology Unit, Livorno Hospital, Azienda Toscana Nord Ovest, 57124 Livorno, Italy.ORCID 0000-0002-1390-918X
Marco FerrariMedical Oncology Unit 2, Santa Chiara Hospital, Azienda Ospedaliero-Universitaria Pisana, 56124 Pisa, Italy.
Alessia SalfiMedical Oncology Unit 2, Santa Chiara Hospital, Azienda Ospedaliero-Universitaria Pisana, 56124 Pisa, Italy.
Adele BonatoMedical Oncology Unit 2, Santa Chiara Hospital, Azienda Ospedaliero-Universitaria Pisana, 56124 Pisa, Italy.
Debora SerafinMedical Oncology Unit 2, Santa Chiara Hospital, Azienda Ospedaliero-Universitaria Pisana, 56124 Pisa, Italy.
Natalia CocciaMedical Oncology Unit 2, Santa Chiara Hospital, Azienda Ospedaliero-Universitaria Pisana, 56124 Pisa, Italy.
Laura DoniClinical Oncology Unit, Careggi University Hospital, 50134 Florence, Italy.
Luca GalliMedical Oncology Unit 2, Santa Chiara Hospital, Azienda Ospedaliero-Universitaria Pisana, 56124 Pisa, Italy.ORCID 0000-0001-6008-0266
Michele SisaniMedical Oncology Unit, San Donato Hospital, Azienda Toscana Sud Est, 52100 Arezzo, Italy.
Giandomenico RovielloDepartment of Health Sciences, University of Florence, 50134 Florence, Italy.ORCID 0000-0001-5504-8237
Martina CatalanoDepartment of Health Sciences, University of Florence, 50134 Florence, Italy.ORCID 0000-0003-1856-2848
Federico PaolieriDepartment of Oncology, Hospital of Prato, Azienda USL Toscana Centro, 59100 Prato, Italy.ORCID 0009-0009-6533-6449

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment landscape for metastatic renal cell carcinoma (mRCC) has undergone significant transformations in recent years. The introduction of novel combination therapies involving tyrosine kinase inhibitors (TKI) and immune checkpoint inhibitors has resulted in improved oncological outcomes compared to traditional TKI monotherapy. In this evolving paradigm, the pivotal role of the multidisciplinary tumor board is underscored, particularly in shaping the therapeutic trajectory for patients eligible for locoregional interventions like cytoreductive nephrectomy and metastasectomy. In cases where systemic treatment is deemed appropriate, the absence of direct comparisons among the various combination therapies complicates the selection of a first-line approach. The clinician is faced with the challenge of making decisions based on patient-specific factors such as performance status, risk classification according to the International Metastatic Renal Cell Carcinoma Database Consortium, comorbidities, and disease characteristics, including the number and location of metastases and tumor histology. Considering these concerns, we propose, as a member of a Tuscany Interdisciplinary Uro-Oncologic Group, an algorithm to streamline the decision-making process for mRCC patients, offering guidance to clinicians in their day-to-day clinical practice.

Indexed as

AlgorithmsCarcinoma, Renal CellKidney NeoplasmsNeoplasm MetastasisHumansItalyfirst-line therapyimmune checkpoints inhibitorsmetastatic renal cell carcinomatreatment algorithmtyrosine kinase inhibitors

Identifiers

PMID38891093
PMCPMC11172287

What OpenQuestion holds

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LicenceCC BY
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.