Evidence map›Paper›PMID 32911632›Full record

ArticleCancers2020

Complex Renal Cysts (Bosniak ≥ IIF): Outcomes in a Population-Based Cohort Study.

James Lucocq, Sanjay Pillai, Richard Oparka, Ghulam Nabi

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. 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
0.6field-weighted citation impact, top 30% 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, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

4 authors at 1 institution in 1 country.

James LucocqResearch Division of Imaging Sciences and Technology, School of Medicine, Ninewells Hospital and Medical School, Dundee DD19SY, UK.ORCID 0000-0002-6979-7818
Sanjay PillaiDepartment of Radiology, Ninewells Hospital and Medical School, Dundee DD19SY, UK.
Richard OparkaDepartment of Pathology, Ninewells Hospital and Medical School, Dundee DD19SY, UK.
Ghulam NabiResearch Division of Imaging Sciences and Technology, Ninewells Hospital and Medical School, Dundee DD19SY, UK.ORCID 0000-0001-9406-5195
Ninewells Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is emerging evidence to suggest that con-current medical conditions influence the outcome of cancers, irrespective of therapy offered. The prevalence and impact of co-morbidities on the survival outcome of complex renal cystic masses in not known. The objective was to study complex renal cysts (Bosniak ≥IIF ) and assess the overall and renal cancer-specific survival in a population-based database including impact of con-current morbidities. The Tayside Urological Cancer Network (TUCAN) database covering a stable population of more than 416,090 inhabitants in a defined geographical area identified 452 complex renal cysts in 415 patients between 2009 and 2019. Each patient was tracked and followed up using a unique identifier and deterministic linkage methodology. The last date of follow-up including cause of death was determined. Co-morbidities were recorded from primary care referrals. Renal cancer-specific mortality was 1.7% at a median follow-up of 76.0 months; however, overall survival was poor, particularly in patients ≥ 70 years of age and with ≥ 2 significant co-morbid conditions (

Indexed as

kidney neoplasmsnephrectomysurvival analysis

Identifiers

PMID32911632
PMCPMC7564964
OpenAlexW3083869492

What OpenQuestion holds

Textmetadata
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.