Evidence map›Paper›PMID 41348416›Full record

SynthesisEuropean geriatric medicine2026

Multimorbidity patterns and mental health in late life: a systematic review of longitudinal studies.

Francesco Palmese, Francesca Remelli, Serhiy Dekhtyar, Giulia Grande, Alessandra Marengoni, Amaia Calderón-Larrañaga, Marco Domenicali, Stefano Volpato, Davide Liborio Vetrano, Federico Triolo

Abstract readSystematic Review
In one paragraph

Synthesis in European geriatric medicine, 2026. 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. Article
  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

10 authors.

Francesco PalmeseAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Tomtebodavägen 18 A, 171 65, Solna, Stockholm, Sweden.
Francesca RemelliAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Tomtebodavägen 18 A, 171 65, Solna, Stockholm, Sweden.
Serhiy DekhtyarAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Tomtebodavägen 18 A, 171 65, Solna, Stockholm, Sweden.
Giulia GrandeAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Tomtebodavägen 18 A, 171 65, Solna, Stockholm, Sweden.
Alessandra MarengoniAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Tomtebodavägen 18 A, 171 65, Solna, Stockholm, Sweden.
Amaia Calderón-LarrañagaAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Tomtebodavägen 18 A, 171 65, Solna, Stockholm, Sweden.
Marco DomenicaliDepartment of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna, Ravenna Campus, Ravenna, Italy.
Stefano VolpatoDepartment of Medical Sciences, University of Ferrara, Ferrara, Italy.
Davide Liborio VetranoAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Tomtebodavägen 18 A, 171 65, Solna, Stockholm, Sweden.
Federico TrioloAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Tomtebodavägen 18 A, 171 65, Solna, Stockholm, Sweden. federico.triolo@ki.se.ORCID http://orcid.org/0000-0002-8732-0036

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSeveral chronic disease combinations (i.e., multimorbidity [MM] patterns) have been linked to poor mental health. This systematic review aimed to synthesize evidence on the longitudinal association between MM patterns and several mental health conditions in later life, including depression, anxiety, suicidality, cognitive decline, and dementia.

methodsFollowing PRISMA guidelines (PROSPERO: CRD42024537617), we included longitudinal studies of middle-to-older individuals (45 +) that examined baseline MM patterns and the incidence or trajectories of depression, anxiety, dementia, cognitive decline, or suicidality. The search was conducted in MEDLINE and Web of Science from inception to March 2024, and involved independent screening and quality assessment using a modified Newcastle-Ottawa Scale.

resultsFrom 13,771 retrieved records, 17 studies were included, ranging from 1209 to 447,888 participants. Fourteen studies were population-based, with follow-ups between 2 and 16 years. Most studies investigated depression (n = 7) and dementia/cognitive decline (n = 9). MM pattern definitions varied, most often relying on data-driven methods (e.g., latent class analysis) and encompassing different numbers and types of diseases. Methodological quality was high across studies. MM patterns featuring cardiometabolic diseases were associated with higher risk of depression, anxiety, cognitive decline, and dementia. Patterns characterized by musculoskeletal, gastrointestinal, and pain-related conditions also showed associations with depression and anxiety. Two studies examined suicidality, with greater multimorbidity burden linked to increased suicidal ideation.

conclusionMM patterns linked to higher clinical complexity present poorer mental health trajectories. Validation of MM patterns within and across populations is key for identifying older adults with complex health profiles who may benefit from targeted care strategies.

Indexed as

Mental DisordersMental HealthMultimorbidityAgedAnxietyChronic DiseaseCognitive DysfunctionDementiaDepressionHumansLongitudinal StudiesMiddle AgedAnxietyDementiaDepressionEpidemiology of AgingMultimorbidity patternsPersonalized medicineSuicide

Identifiers

PMID41348416
PMCPMC13109113

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.