Evidence map›Paper›PMID 31489841›Full record

SynthesisJMIR mHealth and uHealth2019

From Paper to Digital Applications of the Pain Drawing: Systematic Review of Methodological Milestones.

Nour Shaballout, Till-Ansgar Neubert, Shellie Boudreau, Florian Beissner

Abstract readSystematic Review
In one paragraph

Synthesis in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

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

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Does 25(OH)D deficiency affect muscle elasticity, physical function, pain, and quality of life? A shear-wave elastography-based cross-sectional study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Article
  5. A Systematic Review of Pain Drawings for Perioperative Patient Management.Plastic and reconstructive surgery. Global open · 2026
    Article
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  8. Digital pain diagrams to identify common lumbar spinal stenosis pain distribution patterns: a cross-sectional latent class analysis.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
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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

4 authors.

Nour Shaballout *Somatosensory and Autonomic Therapy Research, Institute for Neuroradiology, Hannover Medical School, Hannover, Germany.ORCID 0000-0001-8116-1938
Till-Ansgar Neubert *Somatosensory and Autonomic Therapy Research, Institute for Neuroradiology, Hannover Medical School, Hannover, Germany.ORCID 0000-0003-4323-6542
Shellie BoudreauDepartment of Health Science and Technology, Aalborg University, Aalborg, Denmark.ORCID 0000-0002-8310-2744
Florian BeissnerSomatosensory and Autonomic Therapy Research, Institute for Neuroradiology, Hannover Medical School, Hannover, Germany.ORCID 0000-0003-0513-7551

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn a pain drawing (PD), the patient shades or marks painful areas on an illustration of the human body. This simple yet powerful tool captures essential aspects of the subjective pain experience, such as localization, intensity, and distribution of pain, and enables the extraction of meaningful information, such as pain area, widespreadness, and segmental pattern. Starting as a simple pen-on-paper tool, PDs are now sophisticated digital health applications paving the way for many new and exciting basic translational and clinical applications.

objectiveGrasping the full potential of digital PDs and laying the groundwork for future medical PD apps requires an understanding of the methodological developments that have shaped our current understanding of uses and design. This review presents methodological milestones in the development of both pen-on-paper and digital PDs, thereby offering insight into future possibilities created by the transition from paper to digital.

methodsWe conducted a systematic literature search covering PD acquisition, conception of PDs, PD analysis, and PD visualization.

resultsThe literature search yielded 435 potentially relevant papers, from which 53 methodological milestones were identified. These milestones include, for example, the grid method to quantify pain area, the pain-frequency maps, and the use of artificial neural networks to facilitate diagnosis.

conclusionsDigital technologies have had a significant influence on the evolution of PDs, whereas their versatility is leading to ever new applications in the field of medical apps and beyond. In this process, however, there is a clear need for better standardization and a re-evaluation of methodological and technical limitations that no longer apply today.

Indexed as

Human BodyHumansMobile ApplicationsPainPain Measurementdigital pain drawingehealthmedical apppain body mappain chartpain diagrampain drawingpain map

Identifiers

PMID31489841
PMCPMC6753689

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.