Chronic Pain Management and Classification Systems

The management of chronic pain has evolved from purely symptomatic relief towards an integrated biopsychosocial model that unites pharmacological, physical, psychological and interventional strategies. Central to this evolution is a robust classification framework that informs diagnosis, guides treatment selection and underpins epidemiological monitoring. The International Classification of Diseases, 11th Revision (ICD-11), recognises chronic primary pain as a disease in its own right, distinct from chronic secondary pain that arises as a symptom of an underlying pathology such as musculoskeletal disorder or cancer. Mechanism-based subtypes—nociceptive, neuropathic and nociplastic pain—highlight the role of peripheral inputs, nerve injury and altered central processing, respectively. Contemporary care pathways harness multidisciplinary teams, patient registries and predictive analytics to stratify patients according to risk and likely treatment response. Advances in digital health, including machine learning-derived biomarkers, are paving the way for personalised pain management that balances symptom control with functional rehabilitation. Global harmonisation of taxonomy and treatment guidelines supports health-system planning, enables cross-border research comparisons and promotes equitable access to evidence-based care.

Research from Nature Portfolio

Recent studies have applied machine-learning algorithms to large-scale multidimensional datasets, including blood immunoassays, imaging and genetic profiles, to identify biomarker panels predictive of diverse chronic pain conditions. These models demonstrate moderate to high accuracy in distinguishing medical conditions associated with pain and, when integrated with psychosocial measures, substantially improve prediction of self-reported pain experience. This work underscores the synergistic importance of biological and psychosocial factors and supports the development of holistic diagnostic tools for clinical practice.

Chronic Pain Management and Classification Systems publication trend

The graph below shows the total number of articles in chronic pain management and classification systems across all publications each year (not limited to Nature Index journals).

Technical terms

Chronic primary pain: Persistent pain that constitutes a disease entity without clear underlying pathology.

Chronic secondary pain: Pain that is a symptom of another diagnosed condition, such as arthritis or cancer.

Nociceptive pain: Pain arising from actual or threatened damage to non-neural tissue, due to activation of nociceptors.

Neuropathic pain: Pain caused by a lesion or disease of the somatosensory nervous system.

Nociplastic pain: Pain arising from altered nociception despite no clear evidence of tissue damage or nerve injury.

Central sensitisation: Enhanced responsiveness of central neurons to normal or subthreshold sensory inputs.

Biomarker: A measurable biological indicator used to detect or predict disease presence or treatment response.

References

1. Biological markers and psychosocial factors predict chronic pain conditions. Nature Human Behaviour (2025).
2. Pilot field testing of the chronic pain classification for ICD-11: the results of ecological coding. BMC Public Health (2018).
3. Classification of chronic pain for the International Classification of Diseases (ICD-11): results of the 2017 international World Health Organization field testing. Pain (2021).
4. Systematic Review of Multidisciplinary Chronic Pain Treatment Facilities. Pain Research and Management (2016).
5. Development and Implementation of a Registry of Patients Attending Multidisciplinary Pain Treatment Clinics: The Quebec Pain Registry. Pain Research and Management (2017).
6. What Is New in Classification, Diagnosis and Management of Chronic Musculoskeletal Pain: A Narrative Review. Frontiers in Pain Research (2022).
7. What Do We Know about Nociplastic Pain?. Healthcare (2023).