Literature DB >> 29854179

X Marks the Spot: Mapping Similarity Between Clinical Trial Cohorts and US Counties.

Matthew C Lenert1, Dara E Mize2, Colin G Walsh2.   

Abstract

When patients and doctors collaborate to make healthcare decisions, they rely on clinical trial results to guide discussions. Trials are designed to recruit diverse participants. The question remains - how well do trial results apply to me or to people who live in our area? This study compared one complete clinical trial dataset (SPRINT) and one published study (ACCORD) to the Community Health Status Indicators dataset to assess the similarity of the trial populations to US county populations. Counties up to 495 miles to the closest SPRINT trial site and up to 712 miles to the closest ACCORD trial site had populations that were significantly more similar to the study cohort than counties farther away. The investigators detail a generalizable method for both assessing recruitment gaps in large multicenter trials and creating maps for clinicians to provide intuition on trial applicability in their area.

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Year:  2018        PMID: 29854179      PMCID: PMC5977658     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  26 in total

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Journal:  JAMA       Date:  2007-09-12       Impact factor: 56.272

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Journal:  Lancet       Date:  2004-01-24       Impact factor: 79.321

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  1 in total

1.  Stigma, biomarkers, and algorithmic bias: recommendations for precision behavioral health with artificial intelligence.

Authors:  Colin G Walsh; Beenish Chaudhry; Prerna Dua; Kenneth W Goodman; Bonnie Kaplan; Ramakanth Kavuluru; Anthony Solomonides; Vignesh Subbian
Journal:  JAMIA Open       Date:  2020-01-22
  1 in total

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