Evidence map›Paper›PMID 37873020›Full record

ArticleArXiv2023

Wasm-iCARE: a portable and privacy-preserving web module to build, validate, and apply absolute risk models.

Jeya Balaji Balasubramanian, Parichoy Pal Choudhury, Srijon Mukhopadhyay, Thomas Ahearn, Nilanjan Chatterjee, Montserrat García-Closas, Jonas S Almeida

Open access · goldAbstract readPreprint
PubMed Full text at PMC
In one paragraph

Article in ArXiv, 2023. 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
0.3field-weighted citation impact, top 43% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Jeya Balaji BalasubramanianDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Parichoy Pal ChoudhuryDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Srijon MukhopadhyayDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Thomas AhearnDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Nilanjan ChatterjeeDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Montserrat García-ClosasDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Jonas S AlmeidaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
National Cancer Institute · USAmerican Cancer Society · USInstitute of Cancer Research · GBJohns Hopkins University · US

Funding

Multifactoral breast cancer risk prediction accounting for ethnic and tumor diversityU01CA249866 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHATTERJEE, NILANJAN · 2020 to 2023
$2.3M
NCI NIH HHS U01 CA249866
6 · The paper itself

Abstract

Objective: Absolute risk models estimate an individual's future disease risk over a specified time interval. Applications utilizing server-side risk tooling, such as the R-based iCARE (R-iCARE), to build, validate, and apply absolute risk models, face serious limitations in portability and privacy due to their need for circulating user data in remote servers for operation. Our objective was to overcome these limitations. Materials and Methods: We refactored R-iCARE into a Python package (Py-iCARE) then compiled it to WebAssembly (Wasm-iCARE): a portable web module, which operates entirely within the privacy of the user's device. Results: We showcase the portability and privacy of Wasm-iCARE through two applications: for researchers to statistically validate risk models, and to deliver them to end-users. Both applications run entirely on the client-side, requiring no downloads or installations, and keeps user data on-device during risk calculation. Conclusions: Wasm-iCARE fosters accessible and privacy-preserving risk tools, accelerating their validation and delivery.

Indexed as

Portable Software ApplicationsPreventative MedicineRisk AnalysisWorld Wide Web

Identifiers

PMID37873020
PMCPMC10593073
OpenAlexW4387893100

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.