Evidence map›Paper›PMID 35078349›Full record

ArticleStroke2022

Community Engagement: Lessons Learned From the AAASPS and SDBA.

Philip B Gorelick

Abstract read
In one paragraph

Article in Stroke, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. What will it take to achieve brain health globally?Cerebral circulation - cognition and behavior · 2024
    Article
  3. 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

1 author.

Philip B GorelickDivision of Stroke and Neurocritical Care, Northwestern University Davee Department of Neurology and Feinberg School of Medicine, Chicago, IL.ORCID 0000-0002-1181-614X

Funding

AFRICAN AMERICAN ANTIPLATELET STROKE PREVENTION STUDYR01NS033430 · NINDS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI GORELICK, PHILIP B · 1995 to 2004
$13.5M
RISK MARKERS FOR DEMENTIA AFTER STROKER01AG017934 · NIA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI NYENHUIS, DAVID L · 2000 to 2004
$3.2M
NIA NIH HHS R01 AG017934NINDS NIH HHS R01 NS033430
6 · The paper itself

Abstract

Community engagement is a means to help overcome challenges to the delivery of health care and preventative services. On the occasion of the 2021 International Stroke Conference Edgar J. Kenton III Lecture, I review community engagement strategies utilized in the AAASPS trial (African-American Antiplatelet Stroke Prevention Study) and SDBA (Studies of Dementia in the Black Aged) observational studies that I directed. The main community engagement strategies included use of home visits (bringing the study to the community), engagement of churches, community advisors, community physicians, other healthcare providers, major Black community organizations, and utilization of diversity training. Community engagement strategies were a major component of AAASPS and SDBA that helped to ensure successful recruitment and retention of an underrepresented community in clinical trial and observational studies. Lessons learned from these studies largely carried out in the 1980s and 1990s helped to dispel myths that Blacks could not be recruited into large-scale clinical trials, emphasized the importance of studying underrepresented groups with adequate statistical power to test primary study hypotheses, and provided foundational recruitment and retention methods for future consideration.

Indexed as

Black or African AmericanPatient SelectionStrokeClinical Trials as TopicCongresses as TopicHumansagedAlzheimer diseaseAmerican Heart AssociationdementiaNational Institutes of Health

Identifiers

PMID35078349
PMCPMC9015676

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.