Evidence map›Paper›PMID 29617926›Full record

ReviewTranslational behavioral medicine2018

Translational science matters: forging partnerships between biomedical and behavioral science to advance the public's health.

George A Mensah, Susan M Czajkowski

Open access · bronzeAbstract readReview
In one paragraph

Review in Translational behavioral medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 13% of its field
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

6 citing papers in PubMed, 12 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

George A MensahCenter for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Susan M CzajkowskiBehavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
National Cancer Institute · USNational Institutes of Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevention and effective treatment of many chronic diseases such as cardiovascular disease, cancer and diabetes are dependent on behaviors such as not smoking, adopting a physically-active lifestyle, eating a healthy diet, and adhering to prescribed medical and behavioral regimens. Yet adoption and maintenance of these behaviors pose major challenges for individuals, their families and communities, as well as clinicians and health care systems. These challenges can best be met through the integration of the biomedical and behavioral sciences that is achieved by the formation of strategic partnerships between researchers and practitioners in these disciplines to address pressing clinical and public health problems. The National Institutes of Health has supported a number of clinical trials and research initiatives that demonstrate the value of biomedical and behavioral science partnerships in translating fundamental discoveries into significant improvements in health outcomes. We review several such examples of collaborations between biomedical and behavioral researchers, describe key initiatives focused on advancing a transdisciplinary translational perspective, and outline areas which require insights, tools and findings from both the biomedical and behavioral sciences to advance the public's health.

Indexed as

Behavioral ResearchBiomedical ResearchIntersectoral CollaborationNational Institutes of Health (U.S.)Public HealthTranslational Research, BiomedicalChronic DiseaseHumansUnited States

Identifiers

PMID29617926
PMCPMC6454531
OpenAlexW2795047449

What OpenQuestion holds

Textmetadata
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.