Evidence map›Paper›PMID 41164318›Full record

ArticleJournal of Alzheimer's disease reports

Comprehensive descriptive analysis of large Alzheimer's disease patient cohorts.

Ehsan Yaghmaei, Attallah Dillard, Mohammadreza Rezaei, Ahmad Rezaie, Albert Pierce, Hongxia Lu, Eric Adams, Nikolay Todorov, Louis Ehwerhemuepha, Jianwei Zheng and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of Alzheimer's disease reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Ehsan YaghmaeiSchmid College of Science and Technology, Chapman University, Orange, CA, USA.ORCID https://orcid.org/0000-0002-4164-4107
Attallah DillardMervyn M. Dymally College of Nursing, Charles R. Drew University of Medicine and Science, Los Angeles, CA, USA.ORCID https://orcid.org/0000-0002-8960-2213
Mohammadreza RezaeiSchmid College of Science and Technology, Chapman University, Orange, CA, USA.ORCID https://orcid.org/0009-0008-7723-7977
Ahmad RezaieSchmid College of Science and Technology, Chapman University, Orange, CA, USA.ORCID https://orcid.org/0009-0006-3734-5629
Albert PierceSchmid College of Science and Technology, Chapman University, Orange, CA, USA.ORCID https://orcid.org/0009-0007-9200-5149
Hongxia LuSchool of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID https://orcid.org/0000-0002-9956-5591
Eric AdamsSchmid College of Science and Technology, Chapman University, Orange, CA, USA.ORCID https://orcid.org/0009-0007-9727-4364
Nikolay TodorovSchmid College of Science and Technology, Chapman University, Orange, CA, USA.ORCID https://orcid.org/0000-0002-9108-8081
Louis EhwerhemuephaChildren's Hospital of Orange County (CHOC), Orange, CA, USA.ORCID https://orcid.org/0000-0003-1369-7954
Jianwei ZhengMervyn M. Dymally College of Nursing, Charles R. Drew University of Medicine and Science, Los Angeles, CA, USA.ORCID https://orcid.org/0000-0002-3930-228X
Seyed Ahmad SajjadiSchool of Medicine, University of California, Irvine, CA, USA.
Mohsen BazarganCollege of Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA, USA.ORCID https://orcid.org/0000-0001-6153-7870
Cyril RakovskiSchmid College of Science and Technology, Chapman University, Orange, CA, USA.ORCID https://orcid.org/0000-0002-9051-1466

Funding

Workshop for Junior Biostatisticians in Health ResearchU54MD007598 · NIMHD · CHARLES R. DREW UNIVERSITY OF MED & SCI · PI Yong Wu · 2012 to 2026
$60.0M
The CDU-Clinical Research Education and Career Development ProgramR25MD007610 · NIMHD · CHARLES R. DREW UNIVERSITY OF MED & SCI · PI Roberto Balbino Vargas · 2012 to 2026
$7.8M
NIMHD NIH HHS R25 MD007610NIMHD NIH HHS U54 MD007598
6 · The paper itself

Abstract

Background: Precise estimates of the prevalence of Alzheimer's disease (AD), the distribution of demographic characteristics, comorbidities, treatment plans, insurance types, cost of treatment and survival probabilities at various time points are crucially important to advancing our understanding and for improving future AD research studies. Objective: We analyzed two of the largest and high-quality medical databases, Oracle EHR Real-World Data and IQVIA. The results provide the most complete description of the AD patients in the US. Methods: We present high-accuracy summary statistics of many important variables related to AD patients. Proportions, means and 95% confidence intervals were provided for all levels of the categorical and quantitative variables. Results: We report high accuracy estimates of the overall survival probabilities for the first five years after initial diagnosis, drug treatments and patterns of use, demographics, insurance types, hospitalization duration, number of hospital visits, and a detailed list of comorbidities. We also report estimates of the annual total average cost of treatment per patient as well as itemized allocations for drugs, hospitalizations, surgery, and management costs. Conclusions: We present the most complete, detailed and high-accuracy descriptive analysis of AD patients to date.

Indexed as

Alzheimer's diseasecost of treatmentdonepezilIQVIAmedications patternsmemantineOracle EHR Real-World Datasummary statisticssurvival

Identifiers

PMID41164318
PMCPMC12559621

What OpenQuestion holds

Textmetadata
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.