Evidence map›Paper›PMID 28878700›Full record

ArticleFrontiers in psychology2017

Growth Mixture Modeling of Depression Symptoms Following Traumatic Brain Injury.

Rapson Gomez, Clive Skilbeck, Matt Thomas, Mark Slatyer

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  3. Observational
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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

4 authors at 3 institutions in 1 country.

Rapson GomezSchool of Health Sciences, Federation University, BallaratVIC, Australia.
Clive SkilbeckPsychology, School of Medicine, University of Tasmania, HobartTAS, Australia.
Matt ThomasSchool of Psychology, Charles Sturt University, BathurstNSW, Australia.
Mark SlatyerPsychology, School of Medicine, University of Tasmania, HobartTAS, Australia.
University of Tasmania · AUCharles Sturt University · AUFederation University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growth Mixture Modeling (GMM) was used to investigate the longitudinal trajectory of groups (classes) of depression symptoms, and how these groups were predicted by the covariates of age, sex, severity, and length of hospitalization following Traumatic Brain Injury (TBI) in a group of 1074 individuals (696 males, and 378 females) from the Royal Hobart Hospital, who sustained a TBI. The study began in late December 2003 and recruitment continued until early 2007. Ages ranged from 14 to 90 years, with a mean of 35.96 years (

Indexed as

depressionlatent class growth modelingoutcometraumatic brain injury

Identifiers

PMID28878700
PMCPMC5572290
OpenAlexW2747981590

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.