Evidence map›Paper›PMID 38627620›Full record

ArticleBMC geriatrics2024

Which Comprehensive Geriatric Assessment (CGA) instruments are currently used in Germany: a survey.

Jennifer Kudelka, Malte Ollenschläger, Richard Dodel, Bjoern M Eskofier, Markus A Hobert, Klaus Jahn, Jochen Klucken, Bendix Labeit, M Cristina Polidori, Tino Prell and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
6.3field-weighted citation impact, top 3% of its field
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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. [Frailty at the interface of resilience and intrinsic capacity].Innere Medizin (Heidelberg, Germany) · 2025
    Review
  7. Article
  8. Review
  9. Article
  10. 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

15 authors at 11 institutions in 3 countries.

Jennifer Kudelka *Department of Neurology, University Hospital Schleswig-Holstein, Arnold-Heller-Straße 3, Kiel, 24105, Germany.
Malte Ollenschläger *Department of Artificial Intelligence in Biomedical Engineering (AIBE), Machine Learning and Data Analytics Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Richard DodelChair of Geriatric Medicine, University Duisburg-Essen, Essen, Germany.
Bjoern M EskofierDepartment of Artificial Intelligence in Biomedical Engineering (AIBE), Machine Learning and Data Analytics Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Markus A HobertDepartment of Neurology, University Hospital Schleswig-Holstein, Arnold-Heller-Straße 3, Kiel, 24105, Germany.
Klaus JahnSchön Klinik Bad Aibling, Neurology and Geriatrics, Bad Aibling, Germany.
Jochen KluckenDepartment of Molecular Neurology, University Hospital Erlangen, Erlangen, Germany.
Bendix LabeitDepartment of Neurology With Institute of Translational Neurology, University Hospital Münster, Münster, Germany.
M Cristina PolidoriAgeing Clinical Research, Department II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.
Tino PrellDepartment of Geriatrics, Halle University Hospital, Halle (Saale), Germany.
Tobias WarneckeDepartment of Neurology and Neurorehabilitation, Klinikum Osnabrueck - Academic teaching hospital of the University of Muenster, Osnabrueck, Germany.
Christine A F von ArnimDepartment of Geriatrics, University of Göttingen Medical Center, Göttingen, Germany. christine.arnim@med.uni-goettingen.de.
Walter MaetzlerDepartment of Neurology, University Hospital Schleswig-Holstein, Arnold-Heller-Straße 3, Kiel, 24105, Germany. w.maetzler@neurologie.uni-kiel.de.
Andreas H JacobsDepartment of Geriatrics & Neurology, Johanniter Hospital Bonn, Johanniter Strasse 1-3, Bonn, 53113, Germany. ahjacobs@uni-muenster.de.
for the DGG working group Neurology
University Hospital Schleswig-Holstein · DEFriedrich-Alexander-Universität Erlangen-Nürnberg · DECentre Hospitalier de Luxembourg · LUGerman Center for Lung Research · DEKlinikum Osnabrück · DEUniversitätsmedizin Göttingen · DEUniversity Hospital in Halle · DEUniversity Hospital Münster · DEUniversity of Cologne · DEUniversity of Duisburg-Essen · DEUniversity of Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Comprehensive Geriatric Assessment (CGA) records geriatric syndromes in a standardized manner, allowing individualized treatment tailored to the patient's needs and resources. Its use has shown a beneficial effect on the functional outcome and survival of geriatric patients. A recently published German S1 guideline for level 2 CGA provides recommendations for the use of a broad variety of different assessment instruments for each geriatric syndrome. However, the actual use of assessment instruments in routine geriatric clinical practice and its consistency with the guideline and the current state of literature has not been investigated to date.

methodsAn online survey was developed by an expert group of geriatricians and sent to all licenced geriatricians (n = 569) within Germany. The survey included the following geriatric syndromes: motor function and self-help capability, cognition, depression, pain, dysphagia and nutrition, social status and comorbidity, pressure ulcers, language and speech, delirium, and frailty. Respondents were asked to report which geriatric assessment instruments are used to assess the respective syndromes.

resultsA total of 122 clinicians participated in the survey (response rate: 21%); after data cleaning, 76 data sets remained for analysis. All participants regularly used assessment instruments in the following categories: motor function, self-help capability, cognition, depression, and pain. The most frequently used instruments in these categories were the Timed Up and Go (TUG), the Barthel Index (BI), the Mini Mental State Examination (MMSE), the Geriatric Depression Scale (GDS), and the Visual Analogue Scale (VAS). Limited or heterogenous assessments are used in the following categories: delirium, frailty and social status.

conclusionsOur results show that the assessment of motor function, self-help capability, cognition, depression, pain, and dysphagia and nutrition is consistent with the recommendations of the S1 guideline for level 2 CGA. Instruments recommended for more frequent use include the Short Physical Performance Battery (SPPB), the Montreal Cognitive Assessment (MoCA), and the WHO-5 (depression). There is a particular need for standardized assessment of delirium, frailty and social status. The harmonization of assessment instruments throughout geriatric departments shall enable more effective treatment and prevention of age-related diseases and syndromes.

Indexed as

Deglutition DisordersDeliriumFrailtyAgedGeriatric AssessmentHumansPainSurveys and QuestionnairesActivities of daily livingCGACognitionComorbiditiesComprehensive geriatric assessmentDeliriumDepressionDysphagiaFrailtySelf-help capability

Identifiers

PMID38627620
PMCPMC11022468
OpenAlexW4394868896

What OpenQuestion 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 OpenQuestion graph.