Evidence map›Paper›PMID 33288877›Full record

ReviewPediatric research2021

Social determinants of health, personalized medicine, and child maltreatment.

Wendy G Lane, Howard Dubowitz

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pediatric research, 2021. 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
0.6field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  4. Review
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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 1 institution in 1 country.

Wendy G LaneDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA. wlane@som.umaryland.edu.
Howard DubowitzDepartment of Pediatrics, University of Maryland School of Medicine, Baltimore, MD, USA.
University of Maryland, Baltimore · US

Funding

Dissemination and Implementation of the Safe Environment for Every Kid(SEEK) Model for Preventing Child Abuse and NeglectR01HD092489 · NICHD · UNIVERSITY OF MARYLAND BALTIMORE · PI DUBOWITZ, HOWARD · 2018 to 2022
$3.7M
NICHD NIH HHS R01 HD092489
6 · The paper itself

Abstract

This review begins with a brief summary of the importance of child maltreatment as a major public health problem, given its prevalence and the substantial human and economic costs involved. The focus then shifts to consideration of personalized medicine and child maltreatment, including genetic and genomics factors, as well as the role of social determinants of health. Research on epigenetics related to child abuse and neglect is presented, followed by that pertaining to a few specific social factors, such as poverty, parental depression and substance use, and domestic (or intimate partner) violence. The review ends with a discussion of interventions to help address social determinants of health with brief descriptions of several model programs, and thoughts concerning the role of personalized medicine in addressing child maltreatment in the foreseeable future. IMPACT: This paper synthesizes knowledge on social determinants of health and advances in genetics and genomics related to the prevention of child maltreatment. It provides examples of model approaches to addressing the prevention of child maltreatment in primary care practices.

Indexed as

Child HealthGene-Environment InteractionGenomicsPrecision MedicineSocial Determinants of HealthSocioeconomic FactorsAge FactorsChildChild AbuseChild DevelopmentChild Health ServicesEpigenesis, GeneticHumansPrimary Health CareRisk AssessmentRisk Factors

Identifiers

PMID33288877
OpenAlexW3112928986

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.