ArticleChildren and youth services review2020
Opioid overdose events and child maltreatment indicators: Differential county-level associations.
Article in Children and youth services review, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Longitudinal changes in the county-level relationship between opioid prescriptions and child maltreatment reports, United States, 2009-2018.The American journal of orthopsychiatry · 2023Article
- The Opioid Epidemic and Children's Living Arrangements in the United States, 2000-2018.The Annals of the American Academy of Political and Social Science · 2022Article
- The Opioid Crisis and Child Maltreatment Across Counties and Time in the United States, 2007-2017.The Annals of the American Academy of Political and Social Science · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Identifiers
What OpenQuestion holds
Registered trials
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.