Evidence map›Paper›PMID 40325265›Full record

ArticleNeurology and therapy2025

Feasibility of Identifying Acute Nontraumatic Intracerebral Hemorrhage Events Using Diagnostic Coding Among Veterans with Mild Cognitive Impairment or Alzheimer's Dementia.

Dan Berlowitz, Ying Wang, Joel Reisman, Donald Miller, Peter J Morin, Vanesa Carlota Andreu Arasa, Brant Mittler, Raymond Zhang, Amir Abbas Tahami Monfared, Michael Irizarry and 2 more

Abstract read
In one paragraph

Article in Neurology and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Dan BerlowitzDepartment of Public Health, Zuckerberg College of Health Sciences, University of Massachusetts Lowell, Lowell, MA, 01854, USA.
Ying WangResearch Service, VA Bedford Healthcare System, Bedford, MA, USA.
Joel ReismanCenter for Healthcare Optimization and Implementation, VA Bedford Healthcare System, Bedford, MA, USA.
Donald MillerDepartment of Public Health, Zuckerberg College of Health Sciences, University of Massachusetts Lowell, Lowell, MA, 01854, USA.
Peter J MorinDepartment of Neurology, Boston University, Chobanian and Avedisian School of Medicine, Boston, MA, USA.
Vanesa Carlota Andreu ArasaNeuroradiology Service, VA Boston Healthcare System, Boston, MA, USA.
Brant MittlerGeriatric Research Education and Clinical Center, VA South Texas Healthcare System, San Antonio, TX, USA.
Raymond ZhangAlzheimer's Disease and Brain Health, Eisai Inc, Nutley, NJ, USA.
Amir Abbas Tahami MonfaredAlzheimer's Disease and Brain Health, Eisai Inc, Nutley, NJ, USA.
Michael IrizarryAlzheimer's Disease and Brain Health, Eisai Inc, Nutley, NJ, USA.
Quanwu ZhangAlzheimer's Disease and Brain Health, Eisai Inc, Nutley, NJ, USA.
Weiming XiaDepartment of Biological Sciences, University of Massachusetts Lowell, Lowell, MA, USA. wxia@bu.edu.ORCID http://orcid.org/0000-0002-7463-3295

Funding

Big data and small molecules for Alzheimer's diseaseR01AG063913 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Weiming Xia · 2024 to 2026
$4.1M
NIA NIH HHS R01 AG063913NIH HHS R01AG063913
6 · The paper itself

Abstract

introductionBased on manual review of clinical notes of using the International Classification of Diseases, Tenth Revision coding, we evaluated the feasibility and validity for monitoring, recording, and reporting intracerebral hemorrhage (ICH) events in patients with all-cause mild cognitive impairment or Alzheimer's dementia including, but not limited to, patients eligible for anti-amyloid therapy.

methodsPrincipal and first-position hospital discharge codes for ICH events for 200 patients were identified from the Veterans Affairs Health System structured administrative database. Clinician manual review of discharge summary notes assessed and confirmed the presence of coded events. Available documentation of bleed locations was further reviewed, and the extent of event adjudication for potential etiology was assessed. Additionally, 25 acute ICH cases were randomly identified by reviewing discharge notes to confirm corresponding diagnostic code-based reporting.

resultsOf the 200 identified patients, 161 with acute ICH events were confirmed, resulting in a positive predictive value (PPV) of 80.5% for ICH event presence identified by diagnostic coding. Bleed locations were described for 151 of 161 patients with confirmed events. Of 110 cases whose diagnostic codes indicated an event location, 79 had location descriptions in discharge summaries that were consistent with the coding (PPV = 71.8%). Possible etiology was described in 56/161 patients' discharge summaries. Among the 25 acute ICH cases identified from discharge notes, 8 had corresponding ICH diagnostic codes.

conclusionThis study supports the feasibility and validity of the ICD-10 coding system for monitoring, recording, and reporting ICH event presence. When location is specified in the codes, the ICD-10 coding has an acceptable PPV. Overall, the current diagnostic coding system provides a reasonable framework for initial reporting and may allow for only limited inference of etiology such as differentiating nontraumatic versus traumatic events. Coding accuracy for ICH can be expected to further improve with the availability of guidelines, training, and standardization across clinical practices.

Indexed as

Alzheimer’s diseaseICD-10Intracerebral hemorrhageMild cognitive impairmentUnited States Department of Veterans Affairs

Identifiers

PMID40325265
PMCPMC12255587

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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.