Evidence map›Paper›PMID 35876797›Full record

ArticleJournal of the National Cancer Institute2022

Cancer Risk Prediction Paradigm Shift: Using Artificial Intelligence to Improve Performance and Health Equity.

Christoph I Lee, Joann G Elmore

Abstract readEditorialComment
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the National Cancer Institute, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Artificial intelligence in clinical genetics: Current practice and attitudes among the clinical genetics workforce.Genetics in medicine : official journal of the American College of Medical Genetics · 2026
    Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Christoph I LeeDepartment of Radiology, University of Washington School of Medicine, Seattle, WA, USA.ORCID 0000-0002-8185-7721
Joann G ElmoreDepartment of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.

Funding

Artificial Intelligence for Improved Breast Cancer Screening Accuracy: External Validation, Refinement, and Clinical TranslationR37CA240403 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI CHRISTOPH I LEE · 2020 to 2026
$3.8M
Population-Based Evaluation of Artificial Intelligence for Mammography Priorto Widespread Clinical TranslationR01CA262023 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI CHRISTOPH I LEE · 2022 to 2026
$3.2M
NCI NIH HHS R01 CA262023NCI NIH HHS R37 CA240403
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Breast NeoplasmsDeep LearningHealth EquityArtificial IntelligenceEarly Detection of CancerFemaleHumansMammography

Identifiers

PMID35876797
PMCPMC9552274

What OpenQuestion holds

Textmetadata
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.