Evidence map›Paper›PMID 41831098›Full record

ReviewCurrent nutrition reports2026

Digital Health Tools for the Screening and Management of Malnutrition Risk in the Older Adults: A Narrative Review.

Feliciana Amatrudo, Vincenzo De Luca, Sara Aprano, Davide Mayol, Mariarosaria Negri, Emanuela Giardinelli, Daniela Laudisio, Nicola Tecce, Claudia Pivonello, Guido Iaccarino and 3 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current nutrition reports, 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

13 authors.

Feliciana Amatrudo *Department of Education and Sport Sciences, Pegaso Telematic University, Naples, Italy.
Vincenzo De Luca *Department of Public Health, Federico II University, Naples, Italy.
Sara ApranoDepartment of Clinical Medicine and Surgery, Endocrinology Unit, Federico II University, Naples, Italy.
Davide MayolDepartment of Education and Sport Sciences, Pegaso Telematic University, Naples, Italy.
Mariarosaria NegriDepartment of Psychology and Health Science, Pegaso Telematic University, Naples, Italy.
Emanuela GiardinelliDepartment of Clinical Medicine and Surgery, Endocrinology Unit, Federico II University, Naples, Italy.
Daniela LaudisioDepartment of Public Health, Federico II University, Naples, Italy.
Nicola TecceDepartment of Clinical Medicine and Surgery, Endocrinology Unit, Federico II University, Naples, Italy.
Claudia PivonelloDepartment of Public Health, Federico II University, Naples, Italy.
Guido IaccarinoDepartment of Clinical Medicine and Surgery, Endocrinology Unit, Federico II University, Naples, Italy.
Annamaria ColaoDepartment of Clinical Medicine and Surgery, Endocrinology Unit, Federico II University, Naples, Italy.
Maddalena Illario *Department of Public Health, Federico II University, Naples, Italy.
Claudia Vetrani *Department of Psychology and Health Science, Pegaso Telematic University, Naples, Italy. claudia.vetrani@unipegaso.it.

Funding

NextGenerationEU PE00000003
6 · The paper itself

Abstract

purpose of reviewIn this narrative review, we provide an overview of the current understanding of the potential role of technology in supporting older adults and facilitating preventive screening or early intervention strategies to mitigate the risk of malnutrition. RECENT

findingsIn the 30 included studies, digital tools (e.g., EHR-embedded screening, dietary apps, photographic monitoring, telemonitoring, and machine-learning based NLP dashboards) increased malnutrition risk detection and improved aspects of nutritional care in diverse settings. Digital tools and applications for the assessment of malnutrition and the monitoring of nutrient intake have proven effective in increasing awareness of malnutrition risk, helping to reduce the workload of healthcare professionals, and decrease the time healthcare professionals spend assessing nutritional status. Importantly, co-design and user-centred interface adaptations consistently improved acceptability and usability among older adults. Indeed, his narrative review demonstrates that older adults’ involvement is an essential prerequisite for the proper functioning and use of experimental tools. To promote successful ageing, digital tools can effectively support older individuals by facilitating preventive screening or early intervention strategies to mitigate the risk of malnutrition.

Indexed as

Digital HealthGeriatric AssessmentMalnutritionMass ScreeningAgedDigital MediaHumansNutritional StatusNutrition AssessmentRisk FactorsDigital healthDigital toolHealthy agingMalnutritionOlder adultsScreening

Identifiers

PMID41831098

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.