Evidence map›Paper›PMID 41837553›Full record

ArticleThe Cochrane database of systematic reviews2026

Digital interventions for improving quality of life and physical function in adults aged 50 and over living with rheumatic and musculoskeletal diseases.

Ana Rita Henriques, Carolina Andrade, Sofia Silvério Serra, Teresa Costa, Elsa Mateus, Monserrat Conde, Nuno Mendonça, Diederik De Cock, Ana Maria Rodrigues

Abstract read
In one paragraph

Article in The Cochrane database of systematic reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Ana Rita HenriquesEpiDoC Unit, CHRC, NOVA Medical School, Universidade NOVA de Lisboa, Lisboa, Portugal.ORCID 0000-0003-4581-0843
Carolina AndradeNOVA Medical School, Universidade NOVA de Lisboa, Lisboa, Portugal.
Sofia Silvério SerraCHRC, NOVA Medical School, Universidade NOVA de Lisboa, Lisboa, Portugal.ORCID 0000-0002-8953-4126
Teresa CostaCHRC, NOVA Medical School, Universidade NOVA de Lisboa, Lisboa, Portugal.ORCID 0000-0002-1551-6531
Elsa MateusCHRC, NOVA Medical School, Universidade NOVA de Lisboa, Lisboa, Portugal.ORCID 0000-0003-0059-2141
Monserrat CondeNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Nuno MendonçaEpiDoC Unit, CHRC, NOVA Medical School, Universidade NOVA de Lisboa, Lisboa, Portugal.ORCID 0000-0001-7589-9901
Diederik De CockResearch Centre for Digital Medicine (REDM) Research Group, Department of Public Health, Vrije Universiteit Brussel, Brussel, Belgium.ORCID 0000-0002-5656-6236
Ana Maria RodriguesEpiDoC Unit, CHRC, NOVA Medical School, Universidade NOVA de Lisboa, Lisboa, Portugal.ORCID 0000-0003-2046-8017

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis is a protocol for a Cochrane Review (intervention). The objectives are as follows: To evaluate the effectiveness of digital health interventions, compared with usual care, non-digital structured intervention, or no intervention, in improving quality of life and physical function among community-dwelling adults (i.e. people living in the community) aged 50 years or over, diagnosed with osteoarthritis, osteoporosis, low-back pain, rheumatoid arthritis, or polymyalgia rheumatica.

Indexed as

Musculoskeletal DiseasesQuality of LifeRheumatic DiseasesAgedArthritis, RheumatoidDigital HealthHumansLow Back PainMiddle AgedOsteoarthritisOsteoporosisPolymyalgia RheumaticaRandomized Controlled Trials as Topic

Identifiers

PMID41837553
PMCPMC12990293

What OpenQuestion holds

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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.