Broadbent, Philippa
(2020).
Attentional bias to somatosensory stimuli in chronic pain patients meta-analysis data 1988-2019.
[Data Collection]. Colchester, Essex:
UK Data Service.
10.5255/UKDA-SN-854482
The planned research will investigate the role biased interpretation of ambiguous somatosensory stimuli has in the maintenance of chronic pain in patients with CP, and whether their modification offers pain relief. Quantitative sensory testing (QST) techniques will be used to assess whether innocuous somatosensory stimuli of differing intensities (e.g., heat, pressure, vibration, electrical sensations) are perceived as unpleasant or painful in those with CP relative to pain-free controls, and also whether the thresholds at which these perceptions occur also differ. The PRL has dedicated space in the Department of Psychology and state-of the art QST equipment.
Data description (abstract)
This systematic review and meta-analysis aimed to evaluate the evidence pertaining to attentional bias for painful and non-painful somatosensory stimuli in individuals with chronic pain. Eligible studies were identified via searches of Medline, PsycINFO, CINAHL, Web of Science, Scopus, and Cochrane Library databases. Search terms were words and phrases organised into three concept blocks: pain condition, cognitive process and stimuli/paradigm. The search identified 29 eligible studies (reporting 32 eligible experiments), of which quantitative meta-analysis was possible for 16 studies (19 experiments).
This data collection contains the quantitative data used for meta-analysis and the analysis R scripts.
Data creators: |
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Sponsors: |
Economic and Social Research Council
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Grant reference: |
1947455
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Topic classification: |
Health Psychology
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Keywords: |
CHRONIC PAIN, PAIN, COGNITIVE PROCESSES, PERCEPTUAL PROCESSES, PATIENTS
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Project title: |
What role do biases in the interpretation of ambiguous somatosensory stimuli in patients with chronic pain play in the maintenance of chronic pain?
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Grant holders: |
Philippa Broadbent
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Project dates: |
From | To |
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1 October 2017 | 30 September 2021 |
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Date published: |
24 Sep 2020 10:26
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Last modified: |
24 Sep 2020 10:27
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Temporal coverage: |
From | To |
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20 October 1988 | 18 October 2019 |
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Collection period: |
Date from: | Date to: |
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1 October 2017 | 18 October 2019 |
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Country: |
United Kingdom |
Spatial unit: |
No Spatial Unit |
Data collection method: |
The search was conducted in seven databases: Web of Science (title); MEDLINE, PsycINFO, and CINAHL (title, subject terms, abstract); PubMed (title/abstract); Scopus (title); and Cochrane Library databases (title, abstract, keywords). The grey literature was searched using the OpenGrey database (main search field). The database search was conducted on 18th October 2019 with studies from database inception until this date eligible for inclusion.
Studies had to meet the following criteria for inclusion in this review:
1) Recruited participants of any age with any type of chronic pain, defined as pain lasting three months or longer. 2) Assessed attention to somatosensory stimuli (defined as stimuli that can evoke a sensation anywhere on the body) using an attentional task. 3) Compared either chronic pain patients to healthy controls, or compared pain-affected to pain-unaffected body regions in chronic pain patients. 4) The full text was available in the English language.
Quantitative data for meta-analysis were extracted from eligible studies wherever available. |
Observation unit: |
Individual |
Kind of data: |
Numeric |
Type of data: |
Experimental data
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Resource language: |
English |
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Data sourcing, processing and preparation: |
Quantitative meta-analysis was conducted in R version 3.5.1 with the package ‘meta'. Random effects models were used, allowing for a distribution of true effect sizes due to within-study and between-study variance. Hedges’ g was computed for between-group comparisons, and single means from the temporal order judgement task were pooled based on inverse variance and compared to a null effect of zero. Where measures of variance were not available, these were calculated from the t statistic.The analysis process is shown in the R scripts in this data collection.
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Rights owners: |
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Contact: |
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Notes on access: |
The Data Collection is available to any user without the requirement for registration for download/access.
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Publisher: |
UK Data Service
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Last modified: |
24 Sep 2020 10:27
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