Evidence map›Paper›PMID 38731054›Full record

ArticleJournal of clinical medicine2024

Promoting Artificial Intelligence for Global Breast Cancer Risk Prediction and Screening in Adult Women: A Scoping Review.

Lea Sacca, Diana Lobaina, Sara Burgoa, Kathryn Lotharius, Elijah Moothedan, Nathan Gilmore, Justin Xie, Ryan Mohler, Gabriel Scharf, Michelle Knecht and 1 more

Abstract readScoping Review
In one paragraph

Article in Journal of clinical medicine, 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
–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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
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

11 authors.

Lea SaccaCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, USA.ORCID 0000-0002-0629-2863
Diana LobainaCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, USA.ORCID 0000-0003-0623-7650
Sara BurgoaCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, USA.ORCID 0009-0007-5392-3676
Kathryn LothariusCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, USA.
Elijah MoothedanCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, USA.ORCID 0000-0002-3867-5332
Nathan GilmoreCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, USA.
Justin XieCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, USA.
Ryan MohlerCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, USA.
Gabriel ScharfCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, USA.
Michelle KnechtCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, USA.ORCID 0000-0003-1582-4339
Panagiota KitsantasCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL 33431, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencebreast cancer screeningmachine learningrisk predictionwomen

Identifiers

PMID38731054
PMCPMC11084581

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.