ReviewPLoS computational biology2017
Pain: A Statistical Account.
Review in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The sensory and affective components of pain: are they differentially modifiable dimensions or inseparable aspects of a unitary experience? A systematic review.British journal of anaesthesia · 2019Pooled it
- Temporal predictions shape somatosensory perception.Nature communications · 2026Article
- Rethinking coping in chronic pain: a systematic review and dynamic interaction model of coping.Pain reports · 2026Review
- Dynamic expectation strength and precision shape human pain perception through shared and dissociable α-oscillatory mechanisms.PLoS biology · 2026Article
- Review
- Dynamic learning of the meaning of information changes pain perception.Scientific reports · 2025Article
- Neural variability reliably encodes interindividual differences in the perception of pain intensity.PLoS biology · 2025Article
- Thermosensory predictive coding underpins an illusion of pain.Science advances · 2025Article
- Conceptualization of pain in Croatian adults: a cross-sectional and psychometric study.Croatian medical journal · 2024Article
- Spatiotemporal integration of contextual and sensory information within the cortical hierarchy in human pain experience.PLoS biology · 2024Article
- The fear-avoidance model as an embodied prediction of threat.Cognitive, affective & behavioral neuroscience · 2024Review
- A Computational Framework for Understanding the Impact of Prior Experiences on Pain Perception and Neuropathic Pain.PLoS computational biology · 2024Article
- Statistical learning shapes pain perception and prediction independently of external cues.eLife · 2024Article
- A Manifesto in Defense of Pain Complexity: A Critical Review of Essential Insights in Pain Neuroscience.Journal of clinical medicine · 2023Review
- Cognitive exertion affects the appraisal of one's own and other people's pain.Scientific reports · 2023Article
- A novel computational approach to pain perception modelling within a Bayesian framework using quantitative sensory testing.Scientific reports · 2023Article
- Review
- Article
- Can Exercise Affect the Pain Characteristics in Patients with Fibromyalgia? A Randomized Controlled Trial.Healthcare (Basel, Switzerland) · 2022Article
- Perceptual sensory attenuation in chronic pain subjects and healthy controls.Scientific reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Perception is seen as a process that utilises partial and noisy information to construct a coherent understanding of the world. Here we argue that the experience of pain is no different; it is based on incomplete, multimodal information, which is used to estimate potential bodily threat. We outline a Bayesian inference model, incorporating the key components of cue combination, causal inference, and temporal integration, which highlights the statistical problems in everyday perception. It is from this platform that we are able to review the pain literature, providing evidence from experimental, acute, and persistent phenomena to demonstrate the advantages of adopting a statistical account in pain. Our probabilistic conceptualisation suggests a principles-based view of pain, explaining a broad range of experimental and clinical findings and making testable predictions.
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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.