Evidence map›Paper›PMID 38532731›Full record

Trial reportEuropean psychiatry : the journal of the Association of European Psychiatrists2024

Long-term depressive symptom trajectories and related baseline characteristics in primary care patients: Analysis of the PsicAP clinical trial.

Maider Prieto-Vila, César González-Blanch, Francisco J Estupiñá Puig, Joshua E J Buckman, Rob Saunders, Roger Muñoz-Navarro, Juan A Moriana, Paloma Rodríguez-Ruiz, Sara Barrio-Martínez, María Carpallo-González and 1 more

Abstract readClinical Trial
In one paragraph

Trial report in European psychiatry : the journal of the Association of European Psychiatrists, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

11 authors.

Maider Prieto-VilaDepartment of Experimental Psychology, Cognitive Processes and Logopedics, Faculty of Psychology, Complutense University of Madrid, Madrid, Spain.ORCID 0009-0006-9115-2684
César González-BlanchMental Health Centre, University Hospital "Marqués de Valdecilla" - IDIVAL, Santander, Spain.ORCID 0000-0002-3181-4731
Francisco J Estupiñá PuigDepartment of Personality, Assessment and Clinical Psychology, Faculty of Psychology, Complutense University of Madrid, Madrid, Spain.ORCID 0000-0001-9941-0365
Joshua E J BuckmanResearch Department of Clinical, Centre for Outcomes and Research Effectiveness, Educational and Health Psychology, UCL, London, UK.ORCID 0000-0002-2281-0907
Rob SaundersResearch Department of Clinical, Centre for Outcomes and Research Effectiveness, Educational and Health Psychology, UCL, London, UK.ORCID 0000-0002-7077-8729
Roger Muñoz-NavarroDepartment of Personality, Assessment and Psychological Treatments, Faculty of Psychology, University of Valencia, Valencia, Spain.ORCID 0000-0002-7064-3699
Juan A MorianaDepartment of Psychology, University of Cordoba, Cordoba, Spain.ORCID 0000-0003-0577-821X
Paloma Rodríguez-RuizHealth Service of Madrid, Madrid, Spain.ORCID 0000-0001-8140-0767
Sara Barrio-MartínezDepartment of Experimental Psychology, Cognitive Processes and Logopedics, Faculty of Psychology, Complutense University of Madrid, Madrid, Spain.ORCID 0000-0003-1988-905X
María Carpallo-GonzálezDepartment of Personality, Assessment and Psychological Treatments, Faculty of Psychology, University of Valencia, Valencia, Spain.ORCID 0000-0002-7920-3171
Antonio Cano-VindelDepartment of Experimental Psychology, Cognitive Processes and Logopedics, Faculty of Psychology, Complutense University of Madrid, Madrid, Spain.ORCID 0000-0002-5449-5454

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is heterogeneity in the long-term trajectories of depressive symptoms among patients. To date, there has been little effort to inform the long-term trajectory of symptom change and the factors associated with different trajectories. Such knowledge is key to treatment decision-making in primary care, where depression is a common reason for consultation. We aimed to identify distinct long-term trajectories of depressive symptoms and explore pre-treatment characteristics associated with them.

methodsA total of 483 patients from the PsicAP clinical trial were included. Growth mixture modeling was used to identify long-term distinct trajectories of depressive symptoms, and multinomial logistic regression models to explore associations between pre-treatment characteristics and trajectories.

resultsFour trajectories were identified that best explained the observed response patterns: "recovery" (64.18%), "late recovery" (10.15%), "relapse" (13.67%), and "chronicity" (12%). There was a higher likelihood of following the recovery trajectory for patients who had received psychological treatment in addition to the treatment as usual. Chronicity was associated with higher depressive severity, comorbidity (generalized anxiety, panic, and somatic symptoms), taking antidepressants, higher emotional suppression, lower levels on life quality, and being older. Relapse was associated with higher depressive severity, somatic symptoms, and having basic education, and late recovery was associated with higher depressive severity, generalized anxiety symptoms, greater disability, and rumination.

conclusionsThere were different trajectories of depressive course and related prognostic factors among the patients. However, further research is needed before these findings can significantly influence care decisions.

Indexed as

DepressionMedically Unexplained SymptomsAnxietyAnxiety DisordersHumansLongitudinal StudiesPrimary Health Caredepressive symptomgrowth mixture modelinglongitudinal analysisprimary caretrajectories

Identifiers

PMID38532731
PMCPMC11059253

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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.