Evidence map›Paper›PMID 41063218›Full record

ReviewEuropean journal of pain (London, England)2025

Phenotyping Chronic Pain and Neuropathic Pain in Population Studies.

Ian-Ju Liang, Dhaneesha N S Senaratne, Blair H Smith

Abstract readReview
In one paragraph

Review in European journal of pain (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Phenotyping Chronic Pain and Neuropathic Pain in Population Studies.European journal of pain (London, England) · 2025
    Review
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

3 authors.

Ian-Ju LiangChronic Pain Research Group, School of Medicine, University of Dundee, Dundee, Scotland, UK.ORCID https://orcid.org/0000-0003-0085-2038
Dhaneesha N S SenaratneChronic Pain Research Group, School of Medicine, University of Dundee, Dundee, Scotland, UK.ORCID https://orcid.org/0000-0003-3229-4632
Blair H SmithChronic Pain Research Group, School of Medicine, University of Dundee, Dundee, Scotland, UK.ORCID https://orcid.org/0000-0002-5362-9430

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveChronic pain is a major global health challenge with substantial individual and societal burden. Epidemiological studies are essential for understanding the scale of the problem and identifying approaches to management. However, they reveal wide variation in reported prevalence, largely due to variations in defining and phenotyping of pain, with estimates spanning roughly 10%-50% depending on wording, recall period, severity thresholds, sampling and ascertainment mode. This paper discusses phenotyping approaches in pain epidemiology, highlighting the need for pre-specified, transparent case definitions with harmonisation to improve comparability and reproducibility across studies.

methodsWe drew from epidemiological literature on chronic pain phenotyping, focusing on methodological approaches. Examples of successful phenotyping strategies from large cohorts and consortia were identified to illustrate scalable and reproducible methods.

resultsWe identified 'broad and shallow' versus 'deep and narrow' approaches to phenotyping, and how they form part of a pyramid model. We explored this further using neuropathic pain as a worked example, with reference to the International Association for the Study of Pain's Special Interest Group on Neuropathic Pain (NeuPSIG) grading system for neuropathic pain and the Neuropathic Pain Phenotyping by International Consensus (NeuroPPIC) project, which aimed to offer a standardised and scalable phenotype suitable for epidemiological and genetic research. We also briefly reviewed other, modern approaches to phenotyping that have been developed, which combine large population samples, data integration and advanced statistical modelling, with the promise of enhanced comparability, and replication.

conclusionsConsensus on phenotyping is needed. We have illustrated a structured, scalable approach to standardised phenotyping, supporting data integration, comparability and replication. SIGNIFICANCE STATEMENT: This review highlights the critical importance of standardised phenotyping in chronic pain epidemiology. We introduce the pyramid model as a framework addressing key methodological gaps. Enabling scalable and reproducible phenotyping strengthens the foundation for future research and clinical translation, ultimately improving outcomes for people living with pain.

Indexed as

Chronic PainNeuralgiaPhenotypeHumansPain Measurementchronic painepidemiologyneuralgianeuropathic painphenotypeprevalence

Identifiers

PMID41063218
PMCPMC12508269

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Registered trials

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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.