Evidence map›Paper›PMID 38784721›Full record

ArticleMathematics (Basel, Switzerland)2024

Unveiling Fall Triggers in Older Adults: A Machine Learning Graphical Model Analysis.

Tho Nguyen, Ladda Thiamwong, Qian Lou, Rui Xie

Abstract read
In one paragraph

Article in Mathematics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
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

4 authors.

Tho NguyenDepartment of Statistics and Data Science, University of Central Florida, Orlando, FL 32816, USA.ORCID 0009-0006-3414-2922
Ladda ThiamwongCollege of Nursing, University of Central Florida, Orlando, FL 32816, USA.ORCID 0000-0001-8506-5812
Qian LouDepartment of Computer Science, University of Central Florida, Orlando, FL 32816, USA.
Rui XieDepartment of Statistics and Data Science, University of Central Florida, Orlando, FL 32816, USA.ORCID 0000-0001-9769-8131

Funding

Optimizing a technology-based body and mind intervention to prevent falls and reduce health disparities in low-income populations.R01MD018025 · NIMHD · UNIVERSITY OF CENTRAL FLORIDA · PI THIAMWONG, LADDA · 2022 to 2025
$3.0M
Technology-based fall risk assessments for older adults in low-income settingsR03AG069799 · NIA · UNIVERSITY OF CENTRAL FLORIDA · PI THIAMWONG, LADDA · 2020 to 2021
$149k
NIA NIH HHS R03 AG069799NIMHD NIH HHS R01 MD018025
6 · The paper itself

Abstract

While existing research has identified diverse fall risk factors in adults aged 60 and older across various areas, comprehensively examining the interrelationships between all factors can enhance our knowledge of complex mechanisms and ultimately prevent falls. This study employs a novel approach-a

Indexed as

62-08aging researchcorrelation analysisfall risksmachine learningmixed graphical modelsolder adultsundirected graphical models

Identifiers

PMID38784721
PMCPMC11113328

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.