Evidence map›Paper›PMID 38938691›Full record

ArticleJAMIA open2024

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

Abstract read
In one paragraph

Article in JAMIA open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Projecting individualized probabilities of lifetime all-cancer risk.medRxiv : the preprint server for health sciences · 2025
    Article
  2. FAIR privacy-preserving operation of large genomic variant calling format (VCF) data without download or installation.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Jeya Balaji BalasubramanianTrans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, United States.ORCID https://orcid.org/0000-0002-0025-8410
Parichoy Pal ChoudhuryTrans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, United States.
Srijon MukhopadhyayTrans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, United States.
Thomas AhearnTrans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, United States.
Nilanjan ChatterjeeDepartment of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, United States.
Montserrat García-ClosasTrans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, United States.
Jonas S AlmeidaTrans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, United States.ORCID https://orcid.org/0000-0002-7883-7922

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

Objectives: Absolute risk models estimate an individual's future disease risk over a specified time interval. Applications utilizing server-side risk tooling, the R-based iCARE (R-iCARE), to build, validate, and apply absolute risk models, face limitations in portability and privacy due to their need for circulating user data in remote servers for operation. We overcome this by porting iCARE to the web platform. Materials and Methods: We refactored R-iCARE into a Python package (Py-iCARE) and then compiled it to WebAssembly (Wasm-iCARE)-a portable web module, which operates within the privacy of the user's device. Results: We showcase the portability and privacy of Wasm-iCARE through 2 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 keep 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

PMID38938691
PMCPMC11208928

What OpenQuestion holds

Textmetadata
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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.