Evidence map›Paper›PMID 36993191›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Multivariate brain-based dimensions of child psychiatric problems: degrees of generalizability.

Bing Xu, Lorenza Dallâ Aglio, John Flournoy, Gerda Bortsova, Brenden Tervo-Clemmens, Paul Collins, Marleen de Bruijne, Monica Luciana, Andre Marquand, Hao Wang and 2 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Bing Xu
Lorenza Dallâ Aglio
John Flournoy
Gerda Bortsova
Brenden Tervo-Clemmens
Paul Collins
Marleen de Bruijne
Monica Luciana
Andre Marquand
Hao Wang
Henning Tiemeier
Ryan L Muetzel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multivariate machine learning techniques are a promising set of tools for identifying complex brain-behavior associations. However, failure to replicate results from these methods across samples has hampered their clinical relevance. This study aimed to delineate dimensions of brain functional connectivity that are associated with child psychiatric symptoms in two large and independent cohorts: the Adolescent Brain Cognitive Development (ABCD) Study and the Generation R Study (total

Identifiers

PMID36993191
PMCPMC10055441

What OpenQuestion holds

Textmetadata
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Registered trials

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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.