Trial reportPsychological medicine2023
The effect of attention bias modification on depressive symptoms in a comorbid sample: a randomized controlled trial.
Trial report in Psychological medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04137367 (A Personalized Approach to Effects of Affective Bias Modification on Symptom Change and Rumination), which is not on this map. Cited by 5 papers.
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.
A Personalized Approach to Effects of Affective Bias Modification on Symptom Change and Rumination
Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- 5-HTTLPR does not moderate the effect of attention bias modification for depression: a randomized sham-controlled trial.Translational psychiatry · 2025Trial
- The effect of attentional bias modification on positive affect dynamics.Scientific reports · 2024Trial
- Characteristics of attentional bias in adolescents with major depressive disorders: differentiating the impact of anxious distress specifier.Frontiers in psychiatry · 2024Article
- The effect of ABM on attentional networks and stress-induced emotional reactivity in a mixed clinical sample with depression: A randomized sham-controlled trial.Neuroscience applied · 2024Article
- Cognitive manipulation of emotional and non-emotional information in working memory of patients with depression: a rigid processing style.Frontiers in psychology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 3 countries.
Funding
Abstract
backgroundStudies investigating the long-term effect of attention bias modification (ABM) in clinical samples are lacking. This study investigates the 6-months follow-up effect of ABM on depressive symptoms in participant with major depressive disorder with and without comorbid disorders.
methodsWe conducted a double-blind randomized sham-controlled trial in 101 participants between 19 November 2019, and 17 August 2021. Follow-up ended 3 April 2022. Participants were allocated to ABM or sham condition twice daily for 14 consecutive days. Primary outcomes were the total score on the Beck Depression Inventory-II (BDI-II) at 6 months, mean Brief State Rumination Inventory (BSRI) score post-treatment and reduction in BSRI post-treatment. Secondary outcome was change in attentional bias (AB). The trial was preregistered in ClinicalTrials.gov (#NCT04137367).
resultsA total of 118 patients aged 18-65 years were assessed for eligibility, and 101 were randomized and subjected to intention-to-treat analyses. At 6 months, ABM had no effect on depression and anxiety compared to a sham condition. While rumination decreased during the intervention, there was no effect of condition on rumination and AB. Predictor analysis did not reveal differences between participants with ongoing major depressive episode or comorbid anxiety.
conclusionCompared to sham training, there was no effect of ABM on depressive symptoms at 6-months follow-up. Since the intervention failed at modifying AB, it is unclear whether changes in AB are related to long-term outcomes.
Indexed as
Identifiers
What OpenQuestion holds
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.