Evidence map›Paper›PMID 33275557›Full record

ArticleCanadian Urological Association journal = Journal de l'Association des urologues du Canada2020

Determining generalizability of the Canadian Kidney Cancer information system (CKCis) to the entire Canadian kidney cancer population.

Camilla Tajzler, Simon Tanguay, Ranjeeta Mallick, Beau Ahrens, Tina Luu Ly, Rodney H Breau, Naveen S Basappa, Anil Kapoor, Daniel Y C Heng, Frédéric Pouliot and 11 more

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Canadian Urological Association journal = Journal de l'Association des urologues du Canada, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 24 citations in OpenAlex.

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  5. 2024 CUA-KCRNC Expert Report: Management of non-clear cell renal cell carcinoma.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2024
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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

21 authors at 14 institutions in 2 countries.

Camilla TajzlerDivision of Urology, McMaster Institute of Urology, Hamilton, ON, Canada.
Simon TanguayDivision of Urology, McGill University, Montreal, QC, Canada.
Ranjeeta MallickDivision of Urology, University of Ottawa, Ottawa, ON, Canada.
Beau AhrensDepartment of Graduate Studies, Dalhousie University, Halifax, NS, Canada.
Tina Luu LyUniversity of Western, Research Data Centre, London, ON, Canada.
Rodney H BreauDivision of Urology, University of Ottawa, Ottawa, ON, Canada.
Naveen S BasappaDepartment of Oncology, University of Alberta, Edmonton, AB, Canada.
Anil KapoorDivision of Urology, McMaster Institute of Urology, Hamilton, ON, Canada.
Daniel Y C HengTom Baker Cancer Centre, University of Calgary, Calgary, AB, Canada.
Frédéric PouliotDivision of Urology, Department of Surgery, Université Laval, Quebec City, QC, Canada.
Antonio FinelliDivision of Urology, University of Toronto, Toronto, ON, Canada.
Luke T LavalléeDivision of Urology, University of Ottawa, Ottawa, ON, Canada.
Alan I SoDepartment of Urologic Sciences, The University of British Columbia, Vancouver, BC, Canada.
Darrel E DrachenbergSection of Urology, University of Manitoba, Winnipeg, MB, Canada.
Denis SoulièresDepartment of Medicine, University of Montreal Hospital Centre, Montreal, QC, Canada.
Georg A BjarnasonDivision of Medical Oncology/Hematology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, ON, Canada.
Patrick O RichardDivision of Urology, University of Sherbrooke, Sherbrooke, QC, Canada.
Ranjena MaloniCKCis Project Manager.
Nicholas E PowerDivision of Urology, Western University, London, ON, Canada.
Michael HaanUniversity of Western, Research Data Centre, London, ON, Canada.
Lori A WoodDepartment of Medicine and Urology, Dalhousie University, Halifax, NS, Canada.
University of Ottawa · CAWestern University · CADalhousie University · CAUniversity of Toronto · CAMcGill University · CAMcMaster University · CASunnybrook Health Science Centre · CAUniversité de Montréal · CAUniversité de Sherbrooke · CAUniversité Laval · CAUniversity of Alberta · CAUniversity of British Columbia · CAUniversity of Calgary · CAUniversity of Manitoba · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe Canadian Kidney Cancer information system (CKCis) has prospectively collected data on patients with renal tumors since January 1, 2011 from 16 sites within 14 academic centers in six provinces. Canadian kidney cancer experts have used CKCis data to address several research questions. The goal of this study was to determine if the CKCis cohort is representative of the entire Canadian kidney cancer population, specifically regarding demographic and geographic distributions.

methodsThe CKCis prospective cohort was analyzed up to December 31, 2018. Baseline demographics and tumor characteristics were analyzed, including location of patients' residence at the time of CKCis entry. Geographic data is presented by province, rural vs. urban via postal code information (2

resultsThis CKCis cohort includes 10 298 eligible patients: 66.6% male, median age 62.6 years; 14.6% had metastatic disease at the time of diagnosis and 70.4% had clear-cell carcinomas. The CKCis cohort captures about 1250 patients per year, which represents approximately 20% of the total kidney cancer incidence. The proportion of patients captured per province did vary from 13-43%. Rural patients make up 17% of patients, with some baseline differences between rural and urban patients. There appears to be no major differences between CKCis patient demographics and disease characteristics compared to national data sources. Canadian heat maps detailing patient location are presented.

conclusionsCKCis contains prospective data on >10 000 Canadian kidney cancer patients, making it a valuable resource for kidney cancer research. The baseline demographic and geographic data do appear to include a broad cross-section of patients and seem to be highly representative of the Canadian kidney cancer population. Moving forward, future projects will include determining if CKCis cancer outcomes are also representative of the entire Canadian kidney cancer population and studying variations across provinces and within rural vs. urban areas.

Identifiers

PMID33275557
PMCPMC7716824
OpenAlexW3036595858

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.