Conditioned Pain Modulation Trial Data on Thermal Pain Thresholds

A randomized controlled trial dataset from 60 healthy adults aged 18–75 examines associations between changes in conditioned pain modulation (CPM) efficiency and quantitative sensory testing measures. The secondary analysis uses multiple linear regression to model relationships with thermal and pressure pain thresholds, tolerance, ratings, and psychological factors. Data includes regression coefficients and R-squared values for key findings.

Use Cases

• Model the association between changes in CPM efficiency and heat pain threshold temperature using the provided beta coefficient and R-squared values.
• Analyze the relationship between CPM efficiency changes and heat tolerance temperature, controlling for group and age variables.
• Investigate the lack of association between CPM changes and pressure pain measures or psychological factors like depression and anxiety.
• Examine how age independently predicts smaller thermal pain threshold improvements using the regression coefficient.

Strengths

• Data originates from a planned secondary analysis of a randomized controlled trial with 60 participants.
• Includes specific statistical results such as beta coefficients and R-squared values for key associations.
• Focuses on a clear research question regarding CPM-induced neuroplasticity and thermal pain sensitivity.

Limitations

• Dataset is very small at 669.2 KB, likely containing summary statistics rather than raw participant-level data.
• Limited to 60 participants from a single trial, restricting generalizability of findings.
• Input does not specify available columns or sample data, hindering detailed analytical reuse.

Provenance

Source

figshare, authored by Priyanka Rana.

Collection Method

Planned secondary analysis of a randomized controlled trial.

Time Range

Trial period unspecified; data reflects a single study.

Freshness

Last updated in March 2026.

Geography

Location of participants not specified.