Evidence map›Paper›PMID 35252530›Full record

ArticleSSM - population health2022

Population health science as a unifying foundation for translational clinical and public health research.

Mark R Cullen, Michael Baiocchi, Lisa Chamberlain, Isabella Chu, Ralph I Horwitz, Michelle Mello, Amy O'Hara, Sam Roosz

Abstract read
In one paragraph

Article in SSM - population health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Mark R CullenCenter for Population Health Sciences, Stanford School of Medicine, Stanford, CA, USA.
Michael BaiocchiDepartment of Epidemiology and Population Health, Stanford School of Medicine, Stanford, CA, USA.
Lisa ChamberlainDepartment of Pediatrics, Stanford School of Medicine, Stanford, CA, USA.
Isabella ChuCenter for Population Health Sciences, Stanford School of Medicine, Stanford, CA, USA.
Ralph I HorwitzDepartment of Medicine, Lewis Katz School of Medicine, Temple University, USA.
Michelle MelloStanford Health Policy and the Department of Medicine, Stanford University School of Medicine, and Stanford Law School, and the Freeman Spogli Institute for International Studies, all in Stanford, CA, USA.
Amy O'HaraMcCourt School of Public Policy, Georgetown University Washington, DC, USA.
Sam RooszCrescendo, San Francisco, CA, USA.

Funding

Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
NCATS NIH HHS UL1 TR001085NCATS NIH HHS UL1 TR003142
6 · The paper itself

Abstract

Separated both in academics and practice since the Rockefeller Foundation effort to "liberate" public health from perceived subservience to clinical medicine a century ago, research in public health and clinical medicine have evolved separately. Today, translational research in population health science offers a means of fostering their convergence, with potentially great benefit to both domains. Although evidence that the two fields need not and should not be entirely distinct in their methods and goals has been accumulating for over a decade, the prodigious efforts of biomedical and social sciences over the past year to address the COVID-19 pandemic has placed this unifying approach to translational research in both fields in a new light. Specifically, the coalescence of clinical and population-level strategies to control disease and novel uses of population-level data and tools in research relating to the pandemic have illuminated a promising future for translational research. We exploit this unique window to re-examine how translational research is conducted and where it may be going. We first discuss the

Identifiers

PMID35252530
PMCPMC8885441

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.