Evidence map›Paper›PMID 37208478›Full record

ArticleScientific reports2023

Comparing the effects of four common drug classes on the progression of mild cognitive impairment to dementia using electronic health records.

Jie Xu, Fei Wang, Chengxi Zang, Hao Zhang, Kellyann Niotis, Ava L Liberman, Cynthia M Stonnington, Makoto Ishii, Prakash Adekkanattu, Yuan Luo and 9 more

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Alzheimer Combination Therapies: Overview and Scenarios.The journal of prevention of Alzheimer's disease · 2025
    Review
  3. A Deep Subgrouping Framework for Precision Drug Repurposing via Emulating Clinical Trials on Real-world Patient Data.KDD : proceedings. International Conference on Knowledge Discovery & Data Mining · 2025
    Article
  4. Article
  5. Formulating Treatment to Cure Alzheimer's Dementia: Approach #2.International journal of molecular sciences · 2024
    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

19 authors.

Jie XuUniversity of Florida, Gainesville, FL, USA.
Fei WangWeill Cornell Medicine, New York, NY, USA.
Chengxi ZangWeill Cornell Medicine, New York, NY, USA.
Hao ZhangWeill Cornell Medicine, New York, NY, USA.
Kellyann NiotisWeill Cornell Medicine, New York, NY, USA.
Ava L LibermanWeill Cornell Medicine, New York, NY, USA.
Cynthia M StonningtonMayo Clinic, Scottsdale, AZ, USA.
Makoto IshiiWeill Cornell Medicine, New York, NY, USA.
Prakash AdekkanattuWeill Cornell Medicine, New York, NY, USA.
Yuan LuoNorthwestern University, Chicago, IL, USA.
Chengsheng MaoNorthwestern University, Chicago, IL, USA.
Luke V RasmussenNorthwestern University, Chicago, IL, USA.
Zhenxing XuWeill Cornell Medicine, New York, NY, USA.
Pascal BrandtUniversity of Washington, Seattle, WA, USA.
Jennifer A PachecoNorthwestern University, Chicago, IL, USA.
Yifan PengWeill Cornell Medicine, New York, NY, USA.
Guoqian JiangMayo Clinic, Rochester, MN, USA.
Richard IsaacsonWeill Cornell Medicine, New York, NY, USA.
Jyotishman PathakWeill Cornell Medicine, New York, NY, USA. jyp2001@med.cornell.edu.

Funding

National Infrastructure for Standardized and Portable EHR Phenotyping AlgorithmsR01GM105688 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI LUO, YUAN, PATHAK, JYOTISHMAN · 2013 to 2020
$5.7M
TREM2 Genotype-Informed Drug Repurposing and Combination Therapy Design for Alzheimer’s DiseaseR01AG076448 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI Feixiong Cheng, Li Gan · 2022 to 2026
$4.0M
Computational Drug Repurposing for AD/ADRD with Integrative Analysis of Real World Data and Biomedical KnowledgeR01AG076234 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Jiang Bian, Fei Wang · 2022 to 2026
$3.8M
Eligibility criteria design for Alzheimer's trials with real-world data and explainable AIR01AG080991 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Jiang Bian, Fei Wang · 2023 to 2026
$3.1M
Identification of Mild Cognitive Impairment using Machine Learning from Language and Behavior MarkersRF1AG072449 · NIA · MICHIGAN STATE UNIVERSITY · PI DODGE, HIROKO HAYAMA, WANG, FEI · 2021 to 2023
$2.6M
NIA NIH HHS R01 AG076234NIA NIH HHS R01 AG076448NIA NIH HHS R01 AG080991NIA NIH HHS RF1 AG072449NIGMS NIH HHS R01 GM105688NIH HHS R01AG076234NIH HHS R01GM105688
6 · The paper itself

Abstract

The objective of this study was to investigate the potential association between the use of four frequently prescribed drug classes, namely antihypertensive drugs, statins, selective serotonin reuptake inhibitors, and proton-pump inhibitors, and the likelihood of disease progression from mild cognitive impairment (MCI) to dementia using electronic health records (EHRs). We conducted a retrospective cohort study using observational EHRs from a cohort of approximately 2 million patients seen at a large, multi-specialty urban academic medical center in New York City, USA between 2008 and 2020 to automatically emulate the randomized controlled trials. For each drug class, two exposure groups were identified based on the prescription orders documented in the EHRs following their MCI diagnosis. During follow-up, we measured drug efficacy based on the incidence of dementia and estimated the average treatment effect (ATE) of various drugs. To ensure the robustness of our findings, we confirmed the ATE estimates via bootstrapping and presented associated 95% confidence intervals (CIs). Our analysis identified 14,269 MCI patients, among whom 2501 (17.5%) progressed to dementia. Using average treatment estimation and bootstrapping confirmation, we observed that drugs including rosuvastatin (ATE = - 0.0140 [- 0.0191, - 0.0088], p value < 0.001), citalopram (ATE = - 0.1128 [- 0.125, - 0.1005], p value < 0.001), escitalopram (ATE = - 0.0560 [- 0.0615, - 0.0506], p value < 0.001), and omeprazole (ATE = - 0.0201 [- 0.0299, - 0.0103], p value < 0.001) have a statistically significant association in slowing the progression from MCI to dementia. The findings from this study support the commonly prescribed drugs in altering the progression from MCI to dementia and warrant further investigation.

Indexed as

Alzheimer DiseaseCognitive DysfunctionDisease ProgressionElectronic Health RecordsHumansRandomized Controlled Trials as TopicRetrospective Studies

Identifiers

PMID37208478
PMCPMC10199021

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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.