ArticleJournal of registry management2025
CaRDO: A Tool for Empowering Cancer Registries to Publish Population-Level Cancer Statistics Online.
Article in Journal of registry management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Reporting of National Cancer Registry statistics in Europe: a scoping review.ESMO real world data and digital oncology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Population-based cancer registries are critical for monitoring cancer burden, informing policy, and guiding cancer control strategies. However, many registries face challenges in effectively communicating their data, due to limited resources and technical capacity. There is a growing need for accessible tools that support the visualization and dissemination of cancer statistics in engaging and interpretable formats. Methods: CaRDO (Cancer Registry Data Online) was developed by the Viertel Cancer Research Centre at Cancer Council Queensland as a free, secure, and user-friendly R package for creating interactive dashboards using population-level cancer data. Built on the R Shiny framework, CaRDO enables users with minimal programming experience to generate dashboards entirely offline. The tool incorporates standard epidemiological methods, including age-standardized rates, lifetime risk estimation, and segmented regression for trend analysis, while maintaining strong privacy safeguards. Results: CaRDO allows users to display cancer incidence and mortality data by sex, cancer type, year, age group, and measure (counts or rates), with visualizations of underlying temporal trends. All data processing occurs locally, and dashboards can be customized with plots that can be downloaded for use in reports or presentations. Example datasets and detailed guidance are provided to support implementation. The current version includes core dashboard elements, with flexibility for future expansion. Conclusions: CaRDO provides a timely and practical solution for enhancing the visibility and utility of cancer registry data. By removing financial and technical barriers, it supports under-resourced registries in fulfilling their essential role in cancer control through transparent, datadriven public health communication.
Indexed as
Identifiers
42110490PMC13151749What OpenQuestion holds
Registered trials
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.