Evidence map›Paper›PMID 40008535›Full record

ArticleJournal of the American Heart Association2025

Synthetic Data for the Get With The Guidelines-Stroke Registry.

Lanjing Wang, Vihaan Manchanda, Holly Picotte, Chandler Beon, Jennifer L Hall, Juan Zhao, Xue Feng

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2025. 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

7 authors.

Lanjing WangAmerican Heart Association Dallas TX USA.ORCID 0009-0004-3422-8238
Vihaan ManchandaAmerican Heart Association Dallas TX USA.
Holly PicotteAmerican Heart Association Dallas TX USA.ORCID 0009-0004-0095-897X
Chandler BeonAmerican Heart Association Dallas TX USA.ORCID 0000-0001-6868-0370
Jennifer L HallAmerican Heart Association Dallas TX USA.ORCID 0000-0002-5103-5399
Juan ZhaoAmerican Heart Association Dallas TX USA.ORCID 0000-0003-1429-0662
Xue FengAmerican Heart Association Dallas TX USA.ORCID 0000-0002-2181-9889

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The American Heart Association's Get With The Guidelines-Quality Improvement registry is a vital resource for real-world cardiovascular and stroke data and research, containing >14 million records from >2800 participating hospitals. To facilitate and streamline research, we aim to generate a synthetic data set that increases access to real-world data and facilitates data exploration of the Get With The Guidelines-Stroke registry. We first randomly sampled 1000 records from the entire registry data set from 2005 to 2021 containing 7.8 million records. To preserve privacy and break the links from the original data, we shifted all data time variables and replaced all patient identifiers. To evaluate the generated synthetic data, we compared the distributions of patient demographics (eg, age, race, sex) and other key stroke-related measures. The generated synthetic data exhibited similar distributions in age, race, sex, and time-sensitive metrics such as door-to-needle time and time to intravenous thrombolytic therapy, demonstrating that this open access data set can provide all researchers the opportunity to explore real-world cardiovascular and stroke data.

Indexed as

Guideline AdherencePractice Guidelines as TopicQuality ImprovementRegistriesStrokeAgedAged, 80 and overAmerican Heart AssociationFemaleHumansMaleMiddle AgedThrombolytic TherapyTime-to-TreatmentUnited StatesAmerican Heart AssociationGet With The GuidelinesStroke

Identifiers

PMID40008535
PMCPMC12132749

What OpenQuestion holds

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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.