Evidence map›Paper›PMID 18392834›Full record

ReviewWorld journal of urology2008

Risk stratification and prognostication of renal cell carcinoma.

Vincenzo Ficarra, Antonio Galfano, Giacomo Novara, Massimo Iafrate, Matteo Brunelli, Silvia Secco, Stefano Cavalleri, Guido Martignoni, Walter Artibani

Abstract readReview
PubMed Publisher
In one paragraph

Review in World journal of urology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.6field-weighted citation impact, top 5% of its field
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

16 citing papers in PubMed, 45 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. ITGA2B and ITGA8 are predictive of prognosis in clear cell renal cell carcinoma patients.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Early immune outcome of retroperitoneal laparoscopic radical nephrectomy for localized renal cell carcinoma: a prospective, randomized study.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2012
    Article
  14. Article
  15. Article
  16. 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

9 authors at 2 institutions in 1 country.

Vincenzo FicarraDepartment of Oncological and Surgical Sciences, Urology Clinic, University of Padua, Monoblocco Ospedaliero - IV Floor, Via Giustiniani 2, 35128 Padua, Italy. vincenzo.ficarra@unipd.it
Antonio Galfano
Giacomo Novara
Massimo Iafrate
Matteo Brunelli
Silvia Secco
Stefano Cavalleri
Guido Martignoni
Walter Artibani
University of Padua · ITUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo review the most recent data on prognostic factors and describe the characteristics and prognostic accuracy of the most important prognostic systems available to predict the risk of recurrence, progression, and mortality in patients with renal cell carcinoma (RCC).

methodsThe study was based on a non-systematic review of literature.

resultsClinical (performance status, and mode of presentation), anatomical (size and extension of the primary tumor, lymph node involvement, and distant metastasis), and histological factors (histological subtypes, nuclear grade, and tumor necrosis) are the most largely evaluated prognostic factors in RCC. Valuable prognostic accuracy has been shown for several laboratory parameters (erythrocyte sedimentation rate, platelet count, serum calcium, hemoglobin, and lactate dehydrogenase levels) and a few genetical and molecular markers (CAIX, B7-H1, and B7-H4). A few integrating systems have been proposed and validated, integrating both clinical and pathological (UCLA Integrating Staging Systems, Kattan nomogram, and Sorbellini nomogram) or only pathological variables (SSIGN score).

conclusionsSeveral large and methodologically consistent studies have been published. The chance to integrate the data derived from each prognostic factor into prognostic algorithms and scores has allowed improving significantly the stratification of the prognosis of patients with RCC. The currently available prognostic systems can be further improved through the inclusion of molecular and genetic variables. Integrating prognostic systems should be used to design randomized controlled trials (RCTs), which will evaluate the efficacy of the new-targeted therapies in either neoadjuvant, adjuvant, or salvage treatments of patients with RCC.

Indexed as

AlgorithmsCarcinoma, Renal CellDisease ProgressionHumansKidney NeoplasmsNeoplasm StagingPrognosis

Identifiers

PMID18392834
OpenAlexW2090569540

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.