Evidence map›Paper›PMID 34277649›Full record

ArticleFrontiers in medicine2021

Attentional Bias Modification Training for Itch: A Proof-of-Principle Study in Healthy Individuals.

Antoinette I M van Laarhoven, Jennifer M Becker, Dimitri M L van Ryckeghem, Stefaan Van Damme, Geert Crombez, Reinout W H J Wiers

Open access · goldAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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

6 authors at 4 institutions in 4 countries.

Antoinette I M van LaarhovenHealth, Medical, and Neuropsychology Unit, Faculty of Social and Behavioural Sciences, Leiden University, Leiden, Netherlands.
Jennifer M BeckerHealth, Medical, and Neuropsychology Unit, Faculty of Social and Behavioural Sciences, Leiden University, Leiden, Netherlands.
Dimitri M L van RyckeghemDepartment of Experimental-Clinical and Health Psychology, Ghent University, Ghent, Belgium.
Stefaan Van DammeDepartment of Experimental-Clinical and Health Psychology, Ghent University, Ghent, Belgium.
Geert CrombezDepartment of Experimental-Clinical and Health Psychology, Ghent University, Ghent, Belgium.
Reinout W H J WiersAddiction Development and Psychopathology Laboratory, Department of Psychology, University of Amsterdam, Amsterdam, Netherlands.
Ghent University · BELeiden University · NLUniversity of Amsterdam · NLUniversity of Luxembourg · LU

Funding

HSRD VA QUE 15-019
6 · The paper itself

Abstract

Itch draws our attention to allow imposing action against bodily harm (e.g., remove insects). At the same time, itch is found to interfere with ongoing tasks and daily life goals. Despite the key role of attention in itch processing, interventions that train individuals to automatically disengage attention from itch cues are lacking. The present proof-of-principle attention bias modification (ABM) training study was aimed at investigating whether attention to itch as well as sensitivity to mild itch can be changed. Healthy volunteers were randomized over three ABM-training conditions. Training was done via a modified pictorial dot-probe task. In particular, participants were trained to look away from itch stimuli (

Indexed as

attentionattention biasattention bias modification (ABM)attention trainingdot-probe paradigmitchprurituspsychodermatology

Identifiers

PMID34277649
PMCPMC8278002
OpenAlexW3176277962

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.