Evidence map›Paper›PMID 40990399›Full record

ArticleEuropean journal of pain (London, England)2025

Patient Subgroups and Predictors of Improvement in Chronic Neuropathic Pain: A Trajectory-Based Analysis.

Xavier Moisset, M Gabrielle Pagé, Bruno Pereira, Manon Choinière

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Article 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 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Observational
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xavier MoissetCHU de Clermont-Ferrand, Inserm, Neuro-Dol, Université Clermont Auvergne, Clermont-Ferrand, France.ORCID https://orcid.org/0000-0002-8799-0750
M Gabrielle PagéCentre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada.
Bruno PereiraCHU de Clermont-Ferrand, Inserm, Neuro-Dol, Université Clermont Auvergne, Clermont-Ferrand, France.
Manon ChoinièreCentre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is limited real-world evidence on predictive factors for good outcomes in patients with chronic neuropathic pain (NP) treated in multidisciplinary tertiary care centres. This study aimed to identify subgroups of NP patients with similar pain trajectories and evaluate associated factors.

methodsWe analysed data from 912 patients with chronic NP (age: 53.6 ± 13.3 years; 51.5% female) enrolled in the Quebec Pain Registry, all of whom reported a baseline pain intensity of ≥ 4/10. Patients completed standardised questionnaires prior to treatment initiation, as well as at 6 and 12 months. Pain trajectories were identified using group-based trajectory modelling (GBTM), with multiple imputation performed to address missing data. The results were confirmed using group-mixture modelling on the non-imputed dataset and using GBTM in the subgroup of patients with complete data.

resultsA three-class trajectory model best fitted the data for both pain intensity and interference. Only 23.1% of patients showed a clear improvement in pain intensity, while 23.5% showed improvement in pain interference. Key predictors of pain intensity improvement included lower baseline pain intensity and interference. Improvement in pain interference was associated with lower baseline interference and depression scores, as well as shorter pain duration. Notably, receiving a strong opioid significantly increased the risk (RR = 1.45 [1.17; 1.78]) of belonging to the persisting severe pain trajectory.

conclusionsA minority of chronic NP patients demonstrated significant improvement with multidisciplinary treatment. These findings highlight the limitations of current management strategies and emphasise the need for novel therapeutic approaches to address the burden of chronic NP effectively. SIGNIFICANCE: This study highlights the value of trajectory analysis in identifying subgroups of patients with chronic neuropathic pain (NP) who exhibit different patterns of treatment response. Only a minority of patients-approximately 23% for both pain intensity and pain interference-demonstrated meaningful improvement. Lower baseline pain intensity and interference emerged as key predictors of better outcomes, while strong opioid use was associated with persistent severe pain. These findings underscore the importance of trajectory-based approaches for understanding the course of NP and for guiding more personalised and effective management in multidisciplinary care settings.

Indexed as

Chronic PainNeuralgiaAdultAgedFemaleHumansMaleMiddle AgedPain MeasurementQuebecRegistriesTreatment Outcomemultidisciplinary treatmentneuropathic painopioidspain trajectoriespredictive factors

Identifiers

PMID40990399
PMCPMC12459231

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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.