Evidence map›Paper›PMID 40390207›Full record

ReviewAlzheimer's & dementia : the journal of the Alzheimer's Association2025

Novel algorithms & blood-based biomarkers: Dementia detection and care transitions for persons living with dementia in the emergency department.

Saket Saxena, Christopher Carpenter, Darlene P Floden, Stephen Meldon, R Andrew Taylor, Ula Hwang

Abstract readReview
In one paragraph

Review in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. 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. 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

6 authors.

Saket SaxenaCenter for Geriatric Medicine, Cleveland Clinic, Cleveland, Ohio, USA.ORCID 0000-0003-4084-7954
Christopher CarpenterDepartment of Emergency Medicine, Mayo Clinic-Rochester, Rochester, Minnesota, USA.ORCID 0000-0002-2603-7157
Darlene P FlodenDepartment of Neurology, Cleveland Clinic, Cleveland, Ohio, USA.
Stephen MeldonDepartment of Emergency Medicine, Cleveland Clinic, Cleveland, Ohio, USA.ORCID 0000-0002-9101-6977
R Andrew TaylorDepartment of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Ula HwangDepartment of Emergency Medicine & Population Health, New York University Grossman School of Medicine, New York, New York, USA.ORCID 0000-0002-3715-3073

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Persons Living with Dementia (PLWD), diagnosed or undiagnosed, have high Emergency Department (ED) use. Identification of such patients poses significant challenges for emergency clinicians with considerable downstream implications on patients, care partners, and healthcare systems. With the advent of Geriatric Emergency Departments (GEDs) there is an opportunity to understand and improve care of PLWDs in EDs with effective allocation of resources and the development of novel techniques to better support detecting those at risk, communicating findings, and coordinating care for such patients. Advances have been made leveraging Electronic Health Record (EHR) data to risk stratify patients for dementia in the hope that those at high-risk may benefit from further evaluation. The promise of multiple blood-base biomarkers (BBM) as a future modality to improve detection of those at risk of dementias, will also have the potential to advance the delivery of care of PLWD and their care partners in EDs. HIGHLIGHTS: EDs have an integral role in delivering care for Person Living with Dementia and their care partners. High acuity and fast paced ED environment and other barriers makes it difficult to identify Person Living with Dementia. EHR-based risk stratification algorithms can identify patients at risk for Dementia in ED and outpatient settings. Use of Blood-Based Biomarkers in the ED setting is novel and considerations of its use and implications need to be studied. EHR based risk stratification algorithm and Blood Based Biomarkers when used judiciously have the potential to overcome some of the known barriers to identify and improve care for Person Living with Dementia as they transition through EDs.

Indexed as

AlgorithmsBiomarkersDementiaEmergency Service, HospitalElectronic Health RecordsHumansBiomarkersalgorithmsblood based biomarkersdementiadetectionemergency departmentgeriatrics

Identifiers

PMID40390207
PMCPMC12089069

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.