Evidence map›Paper›PMID 38166233›Full record

ArticleJCO clinical cancer informatics2024

Pancreatic Cancer Action Network's SPARK: A Cloud-Based Patient Health Data and Analytics Platform for Pancreatic Cancer.

Kawther Abdilleh, Omar Khalid, Dennis Ladnier, Wenshuai Wan, Sara Seepo, Garrett Rupp, Valentin Corelj, Zelia F Worman, Divya Sain, Jack DiGiovanna and 9 more

Open access · hybridAbstract read
In one paragraph

Article in JCO clinical cancer informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

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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

19 authors at 7 institutions in 2 countries.

Kawther AbdillehPancreatic Cancer Action Network, Manhattan Beach, CA.ORCID 0009-0001-5316-9366
Omar KhalidPancreatic Cancer Action Network, Manhattan Beach, CA.
Dennis LadnierPancreatic Cancer Action Network, Manhattan Beach, CA.
Wenshuai WanTempus, Chicago, IL.ORCID 0000-0002-7993-9322
Sara SeepoVelsera, Charlestown, MA.
Garrett RuppVelsera, Charlestown, MA.
Valentin CoreljVelsera, Charlestown, MA.
Zelia F WormanVelsera, Charlestown, MA.ORCID 0000-0002-7619-7466
Divya SainVelsera, Charlestown, MA.
Jack DiGiovannaVelsera, Charlestown, MA.ORCID 0000-0002-7757-4120
Bruce PressZS, Princeton, NJ.
Satty ChandrashekharBoston Consulting Group, New York, NY.ORCID 0009-0005-1663-1223
Eric CollissonUniversity of California San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, CA.ORCID 0000-0002-2829-355X
Karen Y CuiAstra Zeneca, Rockville, MD.ORCID 0000-0003-3041-3706
Anirban MaitraThe University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0001-7923-9978
Paul A RejtoPfizer, La Jolla, CA.
Kevin P WhiteNational University of Singapore, Singapore, Singapore.
Lynn MatrisianPancreatic Cancer Action Network, Manhattan Beach, CA.ORCID 0000-0002-5631-2826
Sudheer DossPancreatic Cancer Action Network, Manhattan Beach, CA.
Pancreatic Cancer Action Network · USBoston Consulting Group (United States)National University of Singapore · SGPfizer (United States) · USTempus Labs (United States) · USThe University of Texas MD Anderson Cancer Center · USUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePancreatic cancer currently holds the position of third deadliest cancer in the United States and the 5-year survival rate is among the lowest for major cancers at just 12%. Thus, continued research efforts to better understand the clinical and molecular underpinnings of pancreatic cancer are critical to developing both early detection methodologies as well as improved therapeutic options. This study introduces Pancreatic Cancer Action Network's (PanCAN's) SPARK, a cloud-based data and analytics platform that integrates patient health data from the PanCAN's research initiatives and aims to accelerate pancreatic cancer research by making real-world patient health data and analysis tools easier to access and use. MATERIALS AND

methodsThe SPARK platform integrates clinical, molecular, multiomic, imaging, and patient-reported data generated from PanCAN's research initiatives. The platform is built on a cloud-based infrastructure powered by Velsera. Cohort exploration and browser capabilities are built using Velsera ARIA, a specialized product for leveraging clinicogenomic data to build cohorts, query variant information, and drive downstream association analyses. Data science and analytic capabilities are also built into the platform allowing researchers to perform simple to complex analysis.

resultsVersion 1 of the SPARK platform was released to pilot users, who represented diverse end users, including molecular biologists, clinicians, and bioinformaticians. Included in the pilot release of SPARK are deidentified clinical (including treatment and outcomes data), molecular, multiomic, and whole-slide pathology images for over 600 patients enrolled in PanCAN's Know Your Tumor molecular profiling service.

conclusionThe pilot release of the SPARK platform introduces qualified researchers to PanCAN real-world patient health data and analytical resources in a centralized location.

Indexed as

Cloud ComputingPancreatic NeoplasmsData ScienceHumansSurvival RateUnited States

Identifiers

PMID38166233
PMCPMC10803046
OpenAlexW4390493238

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.