Evidence map›Paper›PMID 42110491›Full record

ArticleJournal of registry management2025

The Population Cancer Assessment and Surveillance Engine (PopCASE): An Emerging Population Cancer Data Platform.

Johnie Rose, Fatima Hussain, Satya S Sahoo, Kalle Lyytinen, Sunah Song, Harry J Menegay, Robert Lanese, Akhil S G, Lihua Liu, Jennifer Tsui and 3 more

Abstract read
In one paragraph

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Johnie RoseCase Western Reserve University School of Medicine, Cleveland, OH.
Fatima HussainCase Western Reserve University School of Medicine, Cleveland, OH.
Satya S SahooCase Western Reserve University School of Medicine, Cleveland, OH.
Kalle LyytinenCase Western Reserve University Weatherhead School of Management, Cleveland, OH.
Sunah SongCleveland Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, OH.
Harry J MenegayCleveland Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, OH.
Robert LaneseCleveland Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, OH.
Akhil S GCase Western Reserve University Weatherhead School of Management, Cleveland, OH.
Lihua LiuKeck School of Medicine of University of Southern California, Los Angeles, CA.
Jennifer TsuiKeck School of Medicine of University of Southern California, Los Angeles, CA.
Mark BenoCleveland Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, OH.
Todd BurusUniversity of Kentucky Markey Cancer Center, Lexington, KY.
Siran M KoroukianCase Western Reserve University School of Medicine, Cleveland, OH.

Funding

A Multilevel Data Analytic Solution to Advance Population Cancer ResearchU01CA284198 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI JOHNIE ROSE · 2024 to 2026
$1.4M
NCI NIH HHS U01 CA284198
6 · The paper itself

Abstract

Spatially linking cancer registry records to information describing the communities where patients live can enhance the utility of registry data. Here, we describe the ongoing development of an application, the Population Cancer Assessment and Surveillance Engine (PopCASE), that will allow central cancer registries or their designees to set up a population cancer data platform linking a registry's data with community data. PopCASE links registry records by patient residential address to demographic, socioeconomic, household, transportation, healthcare access, screening, risk factor, and other community metrics. Users can query the data by demographic, geographic, or disease criteria via a user interface and receive results, including case counts, age-adjusted incidence and mortality, stage at diagnosis, time-to-treatment, and dozens of community measures stratified by county, census place ("municipality"), zip code tabulation area (ZCTA), and census tract. PopCASE may also be used to create patient-level linked research data sets. We anticipate two likely implementation scenarios: 1) a cancer center where a research team with appropriate institutional review board (IRB) approval uses an instance of PopCASE for their catchment-level population cancer research in a secure data environment, and 2) a central cancer registry that hosts their own secure instance of PopCASE.

Indexed as

NeoplasmsPopulation SurveillanceRegistriesDashboard SystemsHumanscancercommunityinformaticsregistrysocial drivers of health

Identifiers

PMID42110491
PMCPMC13151746

What OpenQuestion holds

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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.