Evidence map›Paper›PMID 33758476›Full record

ArticleCurrent directions in psychological science2020

Screening for and Personalizing Prevention of Adolescent Depression.

Benjamin L Hankin

Abstract read
In one paragraph

Article in Current directions in psychological science, 2020. 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
–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

6 citing papers in PubMed.

  1. Predicting adolescent depression: an interpretable machine learning model.BMC medical informatics and decision making · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

1 author.

Benjamin L HankinUniversity of Illinois at Urbana-Champaign.

Funding

Genetic cognitive and interpersonal vulnerabilities to depression in youthR01MH077195 · NIMH · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI HANKIN, BENJAMIN L · 2007 to 2017
$3.4M
Prefrontal Mechanisms of Selection: Disrupted in Internalizing Psychopathology?R01MH105501 · NIMH · UNIVERSITY OF COLORADO · PI BANICH, MARIE T, HANKIN, BENJAMIN L · 2015 to 2019
$2.8M
NIMH NIH HHS R01 MH077195NIMH NIH HHS R01 MH105501
6 · The paper itself

Abstract

Depression is a prevalent, distressing, often recurrent, disorder. Adolescence represents a vulnerable developmental period when rates of depression surge and many experience their first episode. Some professional agencies now recommend universal screening starting at age 12. This paper advocates for a risk-based approach to screening for adolescent depression that can improve upon current approaches to screening and facilitate more seamless connections to enable personalizing prevention of depression based on risk group classification. Empirical examples are reviewed for screening based on established risk factors that predict later depression. Evidence is provided that risk groups can reliably and validly classify adolescents at risk for future development of depression based on cognitive and interpersonal vulnerabilities. These risk groups inform one approach to personalizing prevention of depression by matching youths' risk to established, evidence-based prevention programs (cognitive or interpersonal). Promising data from a randomized trial suggest that this personalized depression prevention strategy can reduce depression better than a "one size fits all" approach.

Identifiers

PMID33758476
PMCPMC7983783

What OpenQuestion holds

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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.