Evidence map›Paper›PMID 38168160›Full record

ArticleResearch square2023

Reducing Time to Diagnosis of Rare Genetic Diseases in a Medically Underserved Hispanic Population- Lessons Learned for Meaningful Engagement.

Blake Vuocolo, Roberta Sierra, Dan Brooks, Christopher Holder, Lauren Urbanski, Keila Rodriguez, Jose David Gamez, Surya Narayan Mulukutla, Lori Berry, Ana Hernandez and 14 more

Abstract readPreprint
In one paragraph

Article in Research square, 2023. 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

5 · Who and what money

Authors and funding

24 authors.

Blake VuocoloBaylor College of Medicine.
Roberta SierraBaylor College of Medicine.
Dan BrooksBaylor College of Medicine.
Christopher HolderBaylor College of Medicine.
Lauren UrbanskiBaylor College of Medicine.
Keila RodriguezThe University of Texas Rio Grande Valley.
Jose David GamezDHR Health.
Surya Narayan MulukutlaDHR Health.
Lori BerryThe University of Texas Rio Grande Valley.
Ana HernandezThe University of Texas Rio Grande Valley.
Alberto AllegreThe University of Texas Rio Grande Valley.
Humberto HidalgoThe University of Texas Rio Grande Valley.
Sarah RodriguezThe University of Texas Rio Grande Valley.
Sandy MagallanThe University of Texas Rio Grande Valley.
Jeremy GibsonThe University of Texas Rio Grande Valley.
Juan Carlos BerniniTexas Children's Hospital.
Melanie WatsonMilestones Therapeutic Associates.
Robert NelsonThe University of Texas Rio Grande Valley.
Lizbeth Mellin-SanchezUniversity of Florida Department of Pediatrics.
Hongzheng DaiBaylor College of Medicine.
Claudia Soler-AlfonsoBaylor College of Medicine.
Kent CarterThe University of Texas Rio Grande Valley.
Brendan LeeBaylor College of Medicine.
Seema R LalaniBaylor College of Medicine.

Funding

Preclinical and Clincial OutcomesP50HD103555 · NICHD · BAYLOR COLLEGE OF MEDICINE · PI Sandesh Chakravarthy Sreenath Nagamani, David Loren Nelson · 2020 to 2026
$9.9M
Virtual Platforms for Genetics Evaluation in the Medically UnderservedUG3TR004047 · NCATS · BAYLOR COLLEGE OF MEDICINE · PI LALANI, SEEMA R · 2022 to 2023
$619k
NCATS NIH HHS UG3 TR004047NICHD NIH HHS P50 HD103555
6 · The paper itself

Abstract

Background: The utilization of genomic information to improve health outcomes is progressively becoming more common in clinical practice. Nonetheless, disparities persist in accessing genetic services among ethnic minorities, individuals with low socioeconomic status, and other vulnerable populations. The Rio Grande Valley at the Texas-Mexico border is predominantly Hispanic with a high poverty rate and an increased prevalence of birth defects, with very limited access to genetics services. The cost of a diagnosis is often times out of reach for these underserved families. Funded by the National Center for Advancing Translational Sciences (NCATS), Project GIVE ( Methods: Utilizing Consultagene, an innovative electronic health record (EHR) agnostic virtual telehealth and educational platform, we designed the study to recruit 100 children with rare diseases over a period of two years from this region, through peer-to-peer consultation and referral. Conclusions: Project GIVE study has allowed advanced genetic evaluation and delivery of genome sequencing through the virtual portal, effectively circumventing the recognized socioeconomic and other barriers within this population. This paper explores the successful community engagement process and implementation of an alternate genomics evaluation platform and testing approach, aiming to reduce the diagnostic journey for individuals with rare diseases residing in a medically underserved region.

Indexed as

Consultagenegenome sequencingmedically underserved populationVirtual access to genomics

Identifiers

PMID38168160
PMCPMC10760238

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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.