Evidence map›Paper›PMID 30362085›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2019

Moving Toward a Precision-Based, Personalized Framework for Prevention Science: Introduction to the Special Issue.

Gerald J August, Abigail Gewirtz

Abstract read
In one paragraph

Article in Prevention science : the official journal of the Society for Prevention Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
–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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Using Epigenetic Clocks to Characterize Biological Aging in Studies of Children and Childhood Exposures: a Systematic Review.Prevention science : the official journal of the Society for Prevention Research · 2023
    Pooled it
  3. Trial
  4. Trial
  5. Familias Unidas Prevents Youth Internalizing Symptoms: a Baseline Target Moderated Mediation (BTMM) Study.Prevention science : the official journal of the Society for Prevention Research · 2023
    Trial
  6. Trial
  7. AI-Augmented Prevention Science Needs Community-Engaged Prevention Science: a Framework for Greater Accountability.Prevention science : the official journal of the Society for Prevention Research · 2026
    Article
  8. Understanding Who Benefits Most from Family-Based Prevention: Differential Intervention Effects for Families with Low Income.Prevention science : the official journal of the Society for Prevention Research · 2026
    Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Risk and Promotive Factors Related to Cannabis Use Among American Indian Adolescents.Prevention science : the official journal of the Society for Prevention Research · 2024
    Article
  17. Article
  18. Participation in Pediatric Primary Care Innovation, DULCE, Increases Caregiver Agency and Resilience and Decreases Impact of Stress.Prevention science : the official journal of the Society for Prevention Research · 2024
    Article
  19. Article
  20. 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

2 authors.

Gerald J AugustUniversity of Minnesota, Minneapolis, MN, USA. augus001@umn.edu.
Abigail GewirtzUniversity of Minnesota, Minneapolis, MN, USA.

Funding

Research Methods CoreP20MH085987 · NIMH · UNIVERSITY OF MINNESOTA · PI TURNER, WILLIAM L. · 2010 to 2014
$4.3M
NIMH NIH HHS P20 MH085987
6 · The paper itself

Abstract

The goal of this Special Issue is to introduce prevention scientists to an emerging form of healthcare, called precision medicine. This approach integrates investigation of the mechanisms of disease and health-compromising behaviors with prevention, treatment, and cure resolved at the level of the individual. Precision Medicine and its derivative personalized prevention represents a promising paradigm for prevention science as it accounts for response heterogeneity and guides development of targeted interventions that may enhance program effect sizes. If successfully integrated into prevention science research, personalized prevention is an approach that can inform the development of decision support tools (screening measures, prescriptive algorithms) and enhance the utility of mobile health technologies that will enable practitioners to use personalized consumer data to inform decisions about the best type and/or intensity of a prevention strategy for particular individuals or subgroups of individuals. In this special issue, we present conceptual articles that provide a heuristic framework for precision-based, personalization prevention research and empirical studies that address research questions exemplary of a new generation of precision-based personalized preventive interventions focused on children's mental health, behavioral health, and education.

Indexed as

Precision MedicinePreventive MedicineBehavioral MedicineHumansMass ScreeningMental HealthChildren’s mental healthIndicated preventionPersonalized preventionPrecision medicineSelective preventionTailoring technologiesTargeted interventionsUniversal prevention

Identifiers

PMID30362085
PMCPMC6358458

What OpenQuestion holds

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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.