Evidence map›Paper›PMID 40199282›Full record

ArticleYearbook of medical informatics2024

Digital Health for Precision Prevention.

Fleur Mougin, Kate Fultz Hollis, Lina F Soualmia

Abstract readEditorial
In one paragraph

Article in Yearbook of medical informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

3 authors.

Fleur MouginUniv. Bordeaux, Inserm, U1219, BPH, AHeaD team, Bordeaux, France.
Kate Fultz HollisOregon Health & Science University Department of Biomedical Informatics and Clinical Epidemiology, Portland, Oregon, USA.
Lina F SoualmiaUniv. Rouen Normandie, Normandie Univ, LITIS UR 4108, F-76000 Rouen.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo introduce the 2024 International Medical Informatics Association (IMIA) Year-book by the editors.

methodsThe editorial provides an introduction and overview to the 2024 IMIA Yearbook with the special theme, "Digital Health for Precision in Prevention". The special topic, the survey papers and some of the best papers selected this year by section editors are introduced. Changes in the Yearbook editorial board are also described.

resultsIMIA Yearbook 2024 provides many perspectives on the popular topic called "Digital Health for Precision in Prevention". The theme expresses the aim to provide the right intervention at the right time, adapted to the needs of each individual. Many sections presented original work on this year's theme, and all sections described notable contributions from 2023 in the various medical informatics specialties covered by the Yearbook.

conclusionsThe theme of "Digital Health for Precision in Prevention" is very important now when the rapid and extensive variety of digital tools grow exponentially.

Indexed as

Medical InformaticsPrecision MedicineTelemedicineDigital HealthHumans

Identifiers

PMID40199282
PMCPMC12020526

What Socratic 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 Socratic graph.