Evidence map›Paper›PMID 36291658›Full record

ArticleBiomolecules2022

From Genes to Geography, from Cells to Community, from Biomolecules to Behaviors: The Importance of Social Determinants of Health.

Jaysón Davidson, Rohit Vashisht, Atul J Butte

Abstract read
In one paragraph

Article in Biomolecules, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

3 authors.

Jaysón DavidsonPharmaceutical Science and Pharmacogenomics Graduate Program, University of California San Francisco, San Francisco, CA 94143, USA.
Rohit VashishtBakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA 94143, USA.
Atul J ButteBakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0002-7433-2740

Funding

Clinical and Translational Science InstituteUL1TR001872 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLARD, HAROLD R, JACOBY, VANESSA · 2016 to 2025
$112.1M
UCSF-Stanford Center of Excellence in Regulatory Science and InnovationU01FD005978 · FDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ALTMAN, RUSS BIAGIO, GIACOMINI, KATHLEEN M · 2016 to 2025
$34.5M
FDA HHS U01 FD005978NCATS NIH HHS UL1 TR001872
6 · The paper itself

Abstract

Much scientific work over the past few decades has linked health outcomes and disease risk to genomics, to derive a better understanding of disease mechanisms at the genetic and molecular level. However, genomics alone does not quite capture the full picture of one's overall health. Modern computational biomedical research is moving in the direction of including social/environmental factors that ultimately affect quality of life and health outcomes at both the population and individual level. The future of studying disease now lies at the hands of the social determinants of health (SDOH) to answer pressing clinical questions and address healthcare disparities across population groups through its integration into electronic health records (EHRs). In this perspective article, we argue that the SDOH are the future of disease risk and health outcomes studies due to their vast coverage of a patient's overall health. SDOH data availability in EHRs has improved tremendously over the years with EHR toolkits, diagnosis codes, wearable devices, and census tract information to study disease risk. We discuss the availability of SDOH data, challenges in SDOH implementation, its future in real-world evidence studies, and the next steps to report study outcomes in an equitable and actionable way.

Indexed as

Quality of LifeSocial Determinants of HealthElectronic Health RecordsGeographyHumansSurveys and Questionnairescensus tractdata scienceelectronic health recordsreal-world evidencesocial determinants of health

Identifiers

PMID36291658
PMCPMC9599320

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.