ArticlePsyCh journal2025
Cross-Informant Comparison of Depressive Symptoms in Youth: A Network Approach.
Article in PsyCh journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Cross-Informant Comparison of Depressive Symptoms in Youth: A Network Approach.PsyCh journal · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Developmental researchers generally use a multi-informant approach to assess youth depressive symptoms to increase diagnostic accuracy and reliability, but informant discrepancies between youth and caregivers are common. Previous studies have predominantly used the sum score-level approach to examine informant discrepancies, which may obscure the heterogeneity of depression. This study adopted a symptom-level approach, network analysis, to examine informant discrepancies regarding depressive symptoms. The participant sample comprised 1043 community youth living in China (M
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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.