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Neuropathic Pain Profiling in Retroviral Infection Study (NIPPR)

Population Size

40

People

Years

2021

Associated BioSamples

None/not available

Geographic coverage

Not reported

Lead time

Not applicable

Summary

The Neuropathic Pain Profiling in Retroviral Infection Study: NIPPR. This study contains pain related information reported by people living with Human T-lymphotrophic cell virus (HTLV-1) infection. It includes those with and without neuropathic pain.

Documentation

The neuropathic pain profiling in retroviral infection Study: The NIPPR Study. This study contains pain related information reported by people living with Human T-lymphotropic cell virus (HTLV-1) infection. It includes those with and without neuropathic pain. NIPPR is a cross sectional deep profiling study examining sensory profiles and patient reported outcome measures. It also includes skin biopsy data. 22/40 participants have currently been recruited. It includes multiple measures including: • Patient reported pain outcome measures • Sites of pain • Psychophysical pain measures (quantitative sensory testing and conditioned pain modulation) • Intra-epidermal nerve fibre density • Patient reported measures of mood, sleep, quality of life and function.

Dataset type
Health and disease
Dataset sub-type
Not applicable
Dataset population size
40

Keywords

Alleviate, Pain, Pain Hub, Neuropathy

Observations

Observed Node
Disambiguating Description
Measured Value
Measured Property
Observation Date

Persons

The study aims to recruit 40 patients in total

40

Count

28 Oct 2021

Provenance

Purpose of dataset collection
Study
Source of data extraction
Other
Collection source setting
Other
Image contrast
Not stated
Biological sample availability
None/not available

Details

Publishing frequency
Static
Version
1.0.0
Modified

08/10/2024

Coverage

Start date

28/10/2021

Time lag
Not applicable
Maximum age range
150
Follow-up
Unknown

Accessibility

Language
en
Controlled vocabulary
LOCAL
Format
Spreadsheet

Data Access Request

Dataset pipeline status
Not available
Time to dataset access
Not applicable
Access method category
Varies based on project
Jurisdiction
GB-ENG
Data Controller
Imperial College London

Dataset Types: Health and disease


Collection Sources: Other