Evidence map›Paper›PMID 28794588›Full record

ArticleUrology annals

Renal cell carcinomas mass of <4 cm are not always indolent.

Nessn H Azawi, Lars Lund, Mikkel Fode

Open access · goldAbstract read
In one paragraph

Article in Urology annals. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Urine C-reactive protein content and non-invasive molecular grading of renal cell carcinoma.Kidney cancer journal : official journal of the Kidney Cancer Association · 2025
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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

3 authors at 2 institutions in 1 country.

Nessn H AzawiDepartment of Urology, Zealand University Hospital, Roskilde, Denmark.
Lars LundClinical Institute of University of Southern Denmark, Odense, Denmark.
Mikkel FodeDepartment of Urology, Zealand University Hospital, Roskilde, Denmark.
University of Southern Denmark · DKZealand University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextThe rate of progression to metastatic disease in patients undergoing active surveillance for small renal tumors varies in the literature between 1% and 8%.

aimsThis study aims to examine the incidence of metastasis in small renal tumors of <4 cm in a Danish cohort. SETTINGS AND

designRetrospective. MATERIALS AND

methodsData on 106 patients who were diagnosed with renal cancer (RCC) of <4 cm by CT scan from January 2005 to December 2013 were collected retrospectively in January 2016 from patient charts and analyzed. STATISTICAL ANALYSIS USED: The cancer-specific survival (CSS) and overall survival (OS) were estimated using Kaplan-Meier methods.

resultsThe mean age was 62 years (range 40-84 years). Two patients (1.9%) had metastases at the time of diagnosis. Radical nephrectomy was performed in 74 patients (70%); of them, one patients (1.4%) experienced late metastasis (LM). Partial nephrectomy was performed in 30 patients (28%); of them, two patients (6.7%) experienced LM. The mean time to LM was 27 ± 12 months (95% confidence interval: 4-56). CSS rates were 98%, 97%, and 97% for 1, 3, and 5 years, respectively, while OS rates were 96%, 92%, and 86% for 1, 3, and 5 years, respectively. On multivariate analysis, tumor size (

conclusionsEven small renal carcinomas may be aggressive, and caution should be taken when offering active surveillance.

Indexed as

Partial nephrectomyradical nephrectomyrecurrencesmall renal massessynchronized metastatic

Identifiers

PMID28794588
PMCPMC5532889
OpenAlexW2735477810

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.