SynthesisPain medicine (Malden, Mass.)2021
Mathematical and Computational Models for Pain: A Systematic Review.
Synthesis in Pain medicine (Malden, Mass.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07038434 (Refining mUltiple Artificial intelliGence strateGies for Automatic Pain Assessment Investigations), which is not on this map. Cited by 10 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.
Refining mUltiple Artificial intelliGence strateGies for Automatic Pain Assessment Investigations: RUGGI Study
Who cites it
10 citing papers in PubMed.
- Refining multiple artificial intelligence strategies for automatic pain assessment investigations (RUGGI Study): A study protocol.European journal of anaesthesiology and intensive care · 2026Article
- Physiological framework for non-invasive detection and objective nociception activity in communicative patients: a pilot case study.Frontiers in physiology · 2025Article
- A Pluripotent Progression of the Gate Control System Theory of Pain - Modeling Ascending & Descending Pain Pathways as a Lotka-Volterra Coupled Control & Feedback Loop.Journal of pain research · 2025Article
- Advancing Pain Understanding and Drug Discovery: Insights from Preclinical Models and Recent Research Findings.Pharmaceuticals (Basel, Switzerland) · 2024Review
- A Decade of Dedication: Pioneering Perspectives on Neurological Diseases and Mental Illnesses.Biomedicines · 2024Article
- Review
- Measuring pain and nociception: Through the glasses of a computational scientist. Transdisciplinary overview of methods.Frontiers in network physiology · 2023Review
- Mathematical Model for Skin Pain Sensation under Local Distributed Mechanical Compression for Electronic Skin Applications.Micromachines · 2022Article
- Muscle contractions and pain sensation accompanying high-frequency electroporation pulses.Scientific reports · 2022Article
- Effectiveness of using a vibration device to ease pain during upper extremity injections: A randomized controlled trial.Saudi journal of anaesthesiaArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
objectiveThere is no single prevailing theory of pain that explains its origin, qualities, and alleviation. Although many studies have investigated various molecular targets for pain management, few have attempted to examine the etiology or working mechanisms of pain through mathematical or computational model development. In this systematic review, we identified and classified mathematical and computational models for characterizing pain.
methodsThe databases queried were Science Direct and PubMed, yielding 560 articles published prior to January 1st, 2020. After screening for inclusion of mathematical or computational models of pain, 31 articles were deemed relevant.
resultsMost of the reviewed articles utilized classification algorithms to categorize pain and no-pain conditions. We found the literature heavily focused on the application of existing models or machine learning algorithms to identify the presence or absence of pain, rather than to explore features of pain that may be used for diagnostics and treatment.
conclusionsAlthough understudied, the development of mathematical models may augment the current understanding of pain by providing directions for testable hypotheses of its underlying mechanisms. Additional focus is needed on developing models that seek to understand the underlying mechanisms of pain, as this could potentially lead to major breakthroughs in its treatment.
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.