Evidence mapPaperPMID 41373254Full record

ReviewHealthcare (Basel, Switzerland)2025

Artificial Intelligence Methods and Digital Intervention Strategies for Predicting and Managing Chronic Obstructive Pulmonary Disease Exacerbations: An Umbrella Review.

Marco Pozza, Nicolò Navarin, Vangelis Sakkalis, Silvia Gabrielli

Abstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Artificial intelligence in respiratory medicine: From diagnosis to treatment and future directions.Chinese medical journal pulmonary and critical care medicine · 2026
    Review
  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

4 authors.

Marco PozzaDepartment of General Psychology, University of Padova, 35131 Padova, Italy.ORCID 0009-0004-5798-0297
Nicolò NavarinDepartment of Mathematics, University of Padova, 35131 Padova, Italy.ORCID 0000-0002-4108-1754
Vangelis SakkalisInstitute of Computer Science (ICS), Foundation for Research and Technology-Hellas (FORTH), 70013 Crete, Greece.ORCID 0000-0003-4701-850X
Silvia GabrielliDigital Health Research, Fondazione Bruno Kessler, 38123 Trento, Italy.ORCID 0000-0002-7080-0615

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligenceCOPDdigital health interventionsexacerbation predictioninterventions adherencelow-cost wearable devicesumbrella review

Identifiers

PMID41373254
PMCPMC12691994

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.