Evidence map›Paper›PMID 37897807›Full record

ArticleAge and ageing2023

Fall risk stratification of community-living older people. Commentary on the world guidelines for fall prevention and management.

Topic Group on “Falls among the elderly” of the ITU/WHO Focus Group “Artificial Intelligence for Health”, Jose Albites-Sanabria, Barry R Greene, Killian McManus, Luca Palmerini, Pierpaolo Palumbo, Inês Sousa, Kimberley S van Schooten, Eva Weicken, Markus Wenzel

Abstract readComment
In one paragraph

Article in Age and ageing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Topic Group on “Falls among the elderly” of the ITU/WHO Focus Group “Artificial Intelligence for Health”
Jose Albites-SanabriaDepartment of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" - DEI, University of Bologna, Bologna, Italy.
Barry R GreeneLinus Health Europe Ltd, Dublin, Ireland.
Killian McManusLinus Health Europe Ltd, Dublin, Ireland.
Luca PalmeriniDepartment of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" - DEI, University of Bologna, Bologna, Italy.
Pierpaolo PalumboDepartment of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" - DEI, University of Bologna, Bologna, Italy.ORCID 0000-0002-4438-1787
Inês SousaFraunhofer Portugal AICOS, Porto, Portugal.
Kimberley S van SchootenFalls, Balance and Injury Research Centre, Neuroscience Research Australia, Sydney, Australia.
Eva WeickenFraunhofer Heinrich Hertz Institute, Berlin, Germany.
Markus WenzelFraunhofer Heinrich Hertz Institute, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Task Force on Global Guidelines for Falls in Older Adults has put forward a fall risk stratification tool for community-dwelling older adults. This tool takes the form of a flowchart and is based on expert opinion and evidence. It divides the population into three risk categories and recommends specific preventive interventions or treatments for each category. In this commentary, we share our insights on the design, validation, usability and potential impact of this fall risk stratification tool with the aim of guiding future research.

Indexed as

Accidental FallsIndependent LivingAgedHumansRisk AssessmentFallsGuidelinesOlder peoplePredictionRiskStratification

Identifiers

PMID37897807
PMCPMC10612991

What OpenQuestion holds

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LicenceCC BY-NC
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.