Evidence map›Paper›PMID 40239206›Full record

Observational studyJournal of medical Internet research2025

The Added Value of Digital Body Chart Pain Surface Assessment as an Objective Biomarker: Multicohort Study.

Maxime Billot, Amine Ounajim, Maarten Moens, Lisa Goudman, Jean-Philippe Deneuville, Manuel Roulaud, Kévin Nivole, Mathilde Many, Sandrine Baron, Bertille Lorgeoux and 4 more

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02964130 (A Multicenter Prospective Study on Failed Back Surgery Syndrome Pathway Optimization), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT02964130 nacompletednot on this map

A Multicenter Prospective Study on Failed Back Surgery Syndrome Pathway Optimization: A Focus on Patient Identification, Chronicization Factors and Outcome Predictors

TypeinterventionalSponsorPoitiers University HospitalRan2017 to 2019Enrolled200ConditionsFailed Back Surgery Syndrome, Chronic PainArmsNo name
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Multidimensional pain patterns in Parkinson's disease: a longitudinal mobile health study.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Article
  3. Article
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

14 authors.

Maxime BillotPRISMATICS Lab, CHU de Poitiers, Poitiers, France.ORCID 0000-0003-0979-2182
Amine OunajimPRISMATICS Lab, CHU de Poitiers, Poitiers, France.ORCID 0000-0003-2964-6430
Maarten MoensDepartment of Neurosurgery, Universitair Ziekenhuis Brussel, Brussels, Belgium.ORCID 0000-0003-0577-5449
Lisa GoudmanDepartment of Neurosurgery, Universitair Ziekenhuis Brussel, Brussels, Belgium.ORCID 0000-0002-2271-9855
Jean-Philippe DeneuvillePRISMATICS Lab, CHU de Poitiers, Poitiers, France.ORCID 0009-0004-2379-1383
Manuel RoulaudPRISMATICS Lab, CHU de Poitiers, Poitiers, France.ORCID 0000-0003-3348-7137
Kévin NivolePRISMATICS Lab, CHU de Poitiers, Poitiers, France.ORCID 0009-0006-9412-5227
Mathilde ManyPRISMATICS Lab, CHU de Poitiers, Poitiers, France.ORCID 0009-0009-4664-1747
Sandrine BaronPRISMATICS Lab, CHU de Poitiers, Poitiers, France.ORCID 0009-0003-8556-4963
Bertille LorgeouxPRISMATICS Lab, CHU de Poitiers, Poitiers, France.ORCID 0000-0001-9868-2895
Bénédicte BouchePRISMATICS Lab, CHU de Poitiers, Poitiers, France.ORCID 0009-0007-7773-2233
Lucie LampertPRISMATICS Lab, CHU de Poitiers, Poitiers, France.ORCID 0009-0001-4821-9103
Romain DavidPRISMATICS Lab, CHU de Poitiers, Poitiers, France.ORCID 0000-0001-5753-4722
Philippe RigoardPRISMATICS Lab, CHU de Poitiers, Poitiers, France.ORCID 0000-0001-9432-5807

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough it has been well-documented that pain intensity alone is not sufficient to assess chronic pain, the objective pain surface encapsulated in a digital tool might present a major interest in the objective assessment of pain.

objectiveThis study aims to determine the potential added value of pain surface measurement by determining the correlation between pain surface and pain intensity in chronic pain patients.

methodsTwo databases from observational prospective and retrospective longitudinal studies including patients with chronic pain were used in this research. Pain intensity was assessed by the Numeric Pain Rating Scale. Pain surface (cm²) and pain typology (neuropathic vs mechanical components) were measured by a specific pain mapping digital tool (PRISMap, Poitiers University Hospital). Patients were asked to draw their pain surface on a computerized tactile interface in a predetermined body (adapted from the patient's BMI). A color code was used to represent pain intensity (very intense, intense, moderate, and low). Simple linear regression was used to assess the proportion of variance in pain surface explained by pain intensity.

resultsThe final analysis included 637 patients with chronic pain. The percentage of variance of the pain surface explained by pain intensity was 1.24% (R²=0.0124; 95% CI 0.11%-6.3%). In addition, 424 (66.6%) patients used more than 1 intensity or color, among whom 218 (34.2%) used 2 intensities or colors, 155 (24.3%) used 3 intensities or colors, and 51 (8%) used 4 intensities or colors.

conclusionsThis study showed that pain intensity and pain surface provide complementary and distinct information that would help to improve pain assessment. Two-thirds of the cohort used 2 or more intensities to describe their pain. Combining pain intensity and pain surface should be strongly considered as a means of improving daily practice assessment of patients with chronic pain in primary and secondary care.

trial registrationClinicalTrials.gov NCT02964130; https://clinicaltrials.gov/study/NCT02964130?term=PREDIBACK&rank=2.

Indexed as

Chronic PainPain MeasurementAdultAgedBiomarkersFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesRetrospective StudiesBiomarkersassessment toolchronic paindigital body chartdigital health biomarkerdigital toolfinancial burdensmachine learningmechanical painneuropathicneuropathic painnociceptivepain assessmentpain managementpain treatmentpain typologyquality of life

Identifiers

PMID40239206
PMCPMC12044317

What OpenQuestion holds

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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.