Evidence map›Paper›PMID 40489434›Full record

Observational studyPloS one2025

SHIP-AGE: Frailty, renal function, and multi-component primary care in rural Mecklenburg-West Pomerania (MV-FIT)- study protocol.

Maik Gollasch, Yulia Komleva, Dmitry Tsvetkov, Felix Morof, Mladen V Tzvetkov, Till Ittermann, Marcus Vollmer, Uta Zahn-Tesch, Holger Kock, Franziska Schuster and 5 more

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 2025. 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

15 authors.

Maik GollaschDepartment of Internal Medicine and Geriatrics, University Medicine Greifswald, Greifswald, Germany.ORCID https://orcid.org/0000-0003-2797-1934
Yulia KomlevaDepartment of Internal Medicine and Geriatrics, University Medicine Greifswald, Greifswald, Germany.
Dmitry TsvetkovDepartment of Internal Medicine and Geriatrics, University Medicine Greifswald, Greifswald, Germany.
Felix MorofDepartment of Pharmacology, University Medicine Greifswald, Greifswald, Germany.ORCID https://orcid.org/0009-0001-3701-6247
Mladen V TzvetkovDepartment of Pharmacology, University Medicine Greifswald, Greifswald, Germany.
Till IttermannInstitute for Community Medicine, Department SHIP/Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany.
Marcus VollmerInstitute of Bioinformatics, University Medicine Greifswald, Greifswald, Germany.ORCID https://orcid.org/0000-0002-4593-2026
Uta Zahn-TeschDepartment of Internal Medicine and Geriatrics, University Medicine Greifswald, Greifswald, Germany.
Holger KockStrategic Research Management, University Medicine Greifswald, Greifswald, Germany.
Franziska SchusterDepartment of Clinical Pharmacology, University Medicine Greifswald, Greifswald, Germany.
Neeltje van den BergInstitute for Community Medicine, Section Healthcare Epidemiology and Community Health, University Medicine Greifswald, Greifswald, Germany.
Henry VölzkeInstitute for Community Medicine, Department SHIP/Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany.
Stefan EngeliDepartment of Clinical Pharmacology, University Medicine Greifswald, Greifswald, Germany.
Lieven KennesDepartment of Economics and Business Administration, University of Applied Sciences Stralsund, Stralsund, Germany.
Marwan MannaaDepartment of Internal Medicine and Geriatrics, University Medicine Greifswald, Greifswald, Germany.ORCID https://orcid.org/0000-0002-3482-1398

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) is a leading risk factor for cardiovascular disease and all-cause mortality among older adults. Mecklenburg-West Pomerania has the highest CKD prevalence in Germany and Europe, however, its impact on frailty prevention strategies in primary care remains poorly understood. The SHIP-AGE/MV-FIT study aims to investigate the role of CKD in frailty incidence.

methodsThe SHIP-AGE/MV-FIT cohort is a prospective, longitudinal, population-based observational study targeting individuals [Formula: see text] 65 years with mGFR >30 mL/min. The cohort will consist of approximately 820 elderly participants who will be monitored over a three-year period. They will undergo a comprehensive, multi-factorial geriatric assessment, along with a structured monitoring and management program aimed at preventing frailty. The program incorporates evidence-based, multi-component care, including physical activity, medication review, nutritional optimization, and fall prevention strategies. DISCUSSION: SHIP-AGE/MV-FIT will clarify CKD's role in frailty progression and identify mechanisms underlying frailty and pre-frailty. Additionally, the study aims to implement and evaluate multi-component healthcare strategies for frailty and fall prevention, assess patient adherence and quality of life, and explore elderly individuals' experiences with primary care interventions. By integrating SHIP-AGE data with findings from the SHIP (Study of Health in Pomerania) cohorts in our region, this research will contribute to evidence-based strategies for maintaining health, independence, and well-being in aging populations, particularly in rural primary care settings, such as Mecklenburg-West Pomerania.

Indexed as

FrailtyRenal Insufficiency, ChronicAgedAged, 80 and overFemaleFrail ElderlyGeriatric AssessmentGermanyHumansLongitudinal StudiesMalePrimary Health CareProspective StudiesQuality of LifeRural Population

Identifiers

PMID40489434
PMCPMC12148103

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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.