PMPS Clinical Evidence: Patient Data from a Cancer Pain Clinic, 2022-2025

Morsi Khashan's retrospective analysis of prospectively maintained data from 120 women with refractory Post-mastectomy Pain Syndrome (PMPS) referred to a tertiary cancer pain clinic between January 2022 and September 2025. The dataset includes pain phenotype classifications, patient-reported measures like the Brief Pain Inventory and Pain Catastrophizing Scale, and results from multivariable logistic regression. The study was published on figshare in April 2026.

Use Cases

• Classifying pain phenotypes (nociceptive, neuropathic, mixed) based on structured clinical assessment data.
• Analyzing associations between multiple pain sources and mixed pain presentations using logistic regression results.
• Investigating the relationship between radiotherapy-attributed pain and pain phenotype.
• Modeling patient-reported outcomes like pain intensity and interference from the Brief Pain Inventory.

Strengths

• Includes data from 120 patients with a mean age of 57.9 years.
• Provides specific statistical results, including adjusted odds ratios (e.g., 49.96 for multiple pain sources).
• Uses validated patient-reported measures: the Brief Pain Inventory and Pain Catastrophizing Scale.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is from a single tertiary clinic cohort, which may limit generalizability.

Provenance

Source

Morsi Khashan via figshare.

Collection Method

Retrospective analysis of prospectively maintained data from a tertiary cancer-related pain clinic.

Time Range

January 2022 to September 2025.

Freshness

Last updated 2026-04-15 04:36:39; freshness should be verified.

Geography

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