Evidence map›Paper›PMID 38063581›Full record

ReviewHealthcare (Basel, Switzerland)2023

Leveraging Technology to Diagnose Alzheimer's Disease: A Systematic Review and Meta-Analysis.

Clemens Scott Kruse, Michael E Mileski, Reagan Wilkinson, Britney Hock, Roger Samson, Taylor Castillo

Abstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Clemens Scott KruseSchool of Health Administration, Texas State University, San Marcos, TX 78666, USA.ORCID 0000-0002-7636-1086
Michael E MileskiSchool of Health Administration, Texas State University, San Marcos, TX 78666, USA.
Reagan WilkinsonSchool of Health Administration, Texas State University, San Marcos, TX 78666, USA.
Britney HockSchool of Health Administration, Texas State University, San Marcos, TX 78666, USA.
Roger SamsonSchool of Health Administration, Texas State University, San Marcos, TX 78666, USA.
Taylor CastilloSchool of Health Administration, Texas State University, San Marcos, TX 78666, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbout 50 million people worldwide suffered from dementia in 2018-two-thirds of those with Alzheimer's disease (AD). By 2050, this number is expected to rise to 152 million-which is slightly larger than the country of Russia. About 90% of these people are over the age of 65, but early-onset dementia can occur at younger ages. Early detection is imperative to expedient treatment, which can improve outcomes over the span of diagnosis.

objectivesTo conduct a meta-analysis of similar studies along with a systematic literature review to hasten the development of clinical practice guidelines to assist clinicians in the diagnosis of AD. We analyzed data points in each article published over the last 10 years to meet this objective: cost, efficiency, accuracy, acceptability (by physician and patient), patient satisfaction, and barriers to adoption.

methodsFour research databases were queried (PubMed, CINAHL Ultimate, Web of Science, and ScienceDirect). The review was conducted in accordance with a published protocol, the Kruse Protocol, and reported in accordance with PRISMA (2020).

resultsTen interventions were identified to help diagnose AD among older patients, and some involved a combination of methods (such as MRI and PET). The average sample size was 320.32 (SD = 437.51). These 10 interventions were identified as accurate, non-invasive, non-stressful, inexpensive, convenient, and rapid. Only one intervention was identified as statistically ineffective, and this same intervention was used effectively in other studies. The barriers identified were cost, training, expense of travel, and required physical presence of patient. The weighted average sensitivity was 85.16%, specificity was 88.53, and the weighted average effect size was 0.7339 (medium).

conclusionInnovation can accurately diagnose AD, but not all methods are successful. Providers must ensure they have the proper training and familiarity with these interventions to ensure accuracy in diagnosis. While the physical presence of the patient is often required, many interventions are non-invasive, non-stressful, and relatively inexpensive.

Indexed as

Alzheimer’s diseasedementiahealth information technology

Identifiers

PMID38063581
PMCPMC10705929

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Registered trials

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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.