Evidence map›Paper›PMID 37414898›Full record

ArticleNature medicine2023

A prognostic risk score for development and spread of chronic pain.

Christophe Tanguay-Sabourin, Matt Fillingim, Gianluca V Guglietti, Azin Zare, Marc Parisien, Jax Norman, Hilary Sweatman, Ronrick Da-Ano, Eveliina Heikkala, PREVENT-AD Research Group and 8 more

Abstract read
In one paragraph

Article in Nature medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

79 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Dopamine transporter gene (Pain reports · 2026
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19 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Christophe Tanguay-SabourinAlan Edwards Centre for Research on Pain, McGill University, Montreal, Quebec, Canada. christophe.tanguaysabourin@mcgill.ca.ORCID http://orcid.org/0000-0003-0426-8322
Matt FillingimAlan Edwards Centre for Research on Pain, McGill University, Montreal, Quebec, Canada.
Gianluca V GugliettiAlan Edwards Centre for Research on Pain, McGill University, Montreal, Quebec, Canada.
Azin ZareAlan Edwards Centre for Research on Pain, McGill University, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0002-7476-9897
Marc ParisienAlan Edwards Centre for Research on Pain, McGill University, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0003-2924-5960
Jax NormanAlan Edwards Centre for Research on Pain, McGill University, Montreal, Quebec, Canada.
Hilary SweatmanDepartment of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0003-1802-2702
Ronrick Da-AnoAlan Edwards Centre for Research on Pain, McGill University, Montreal, Quebec, Canada.
Eveliina HeikkalaResearch Unit of Population Health, University of Oulu, Oulu, Finland.
PREVENT-AD Research Group
Jordi PerezDepartment of Anesthesia, Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada.
Jaro KarppinenResearch Unit of Population Health, University of Oulu, Oulu, Finland.
Sylvia VilleneuveDouglas Mental Health Institute Research Centre, McGill University, Montreal, Quebec, Canada.
Scott J ThompsonDepartment of Anesthesiology, University of Minnesota, Minneapolis, MN, USA.
Marc O MartelAlan Edwards Centre for Research on Pain, McGill University, Montreal, Quebec, Canada.
Mathieu RoyAlan Edwards Centre for Research on Pain, McGill University, Montreal, Quebec, Canada.
Luda DiatchenkoAlan Edwards Centre for Research on Pain, McGill University, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0002-1350-6727
Etienne Vachon-PresseauAlan Edwards Centre for Research on Pain, McGill University, Montreal, Quebec, Canada. etienne.vachon-presseau@mcgill.ca.ORCID http://orcid.org/0000-0002-8681-3154

Funding

Project-004U54DA049110 · NIDA · JOHNS HOPKINS UNIVERSITY · PI Martin Lindquist, TOR D. WAGER · 2019 to 2026
$14.7M
NIDA NIH HHS U54 DA049110
6 · The paper itself

Abstract

Chronic pain is a complex condition influenced by a combination of biological, psychological and social factors. Using data from the UK Biobank (n = 493,211), we showed that pain spreads from proximal to distal sites and developed a biopsychosocial model that predicted the number of coexisting pain sites. This data-driven model was used to identify a risk score that classified various chronic pain conditions (area under the curve (AUC) 0.70-0.88) and pain-related medical conditions (AUC 0.67-0.86). In longitudinal analyses, the risk score predicted the development of widespread chronic pain, the spreading of chronic pain across body sites and high-impact pain about 9 years later (AUC 0.68-0.78). Key risk factors included sleeplessness, feeling 'fed-up', tiredness, stressful life events and a body mass index >30. A simplified version of this score, named the risk of pain spreading, obtained similar predictive performance based on six simple questions with binarized answers. The risk of pain spreading was then validated in the Northern Finland Birth Cohort (n = 5,525) and the PREVENT-AD cohort (n = 178), obtaining comparable predictive performance. Our findings show that chronic pain conditions can be predicted from a common set of biopsychosocial factors, which can aid in tailoring research protocols, optimizing patient randomization in clinical trials and improving pain management.

Indexed as

Chronic PainChronic DiseaseHumansPain ManagementPrognosisRisk Factors

Identifiers

PMID37414898
PMCPMC10353938

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.