Study Stopped
Due to covid, the recruitment plan was disrupted and recruitment is on hold for a undetermined period of time.
Establishing Normative Values for Thermal Detection and Pain Threshold Established by the Psi Method
1 other identifier
interventional
80
1 country
1
Brief Summary
The study aims to compare different methods to assess thermal detection ability in diabetic patients, as a way to monitor and diagnose neurological complications of diabetes mellitus.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Oct 2020
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 23, 2020
CompletedStudy Start
First participant enrolled
October 10, 2020
CompletedFirst Posted
Study publicly available on registry
November 2, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
January 1, 2023
CompletedOctober 8, 2021
September 1, 2021
1.7 years
July 23, 2020
September 30, 2021
Conditions
Outcome Measures
Primary Outcomes (8)
Fitted psychometric functions for cold detection obtained with the psi method
The alpha (threshold; °C) and beta (slope, °C\^-1) terms of the fitted logistic equation
baseline
Fitted psychometric functions for warm detection obtained with the psi method
The alpha (threshold; °C) and beta (slope, °C\^-1) terms of the fitted logistic equation
baseline
Fitted psychometric functions for cold pain obtained with the psi method
The alpha (threshold; °C) and beta (slope, °C\^-1) terms of the fitted logistic equation
baseline
Fitted psychometric functions for heat pain obtained with the psi method
The alpha (threshold; °C) and beta (slope, °C\^-1) terms of the fitted logistic equation
baseline
Cold detection threshold (protocol of the German Research Network on Neuropathic Pain - DFNS)
average of 3 measurement of the threshold with the method of limits, as described in the protocol of the German Research Network on Neuropathic Pain - DFNS
baseline
Cold pain threshold (protocol of the German Research Network on Neuropathic Pain - DFNS)
average of 3 measurement of the threshold with the method of limits, as described in the protocol of the German Research Network on Neuropathic Pain - DFNS
baseline
Warm detection threshold (protocol of the German Research Network on Neuropathic Pain - DFNS)
average of 3 measurement of the threshold with the method of limits, as described in the protocol of the German Research Network on Neuropathic Pain - DFNS
baseline
Heat Pain threshold (protocol of the German Research Network on Neuropathic Pain - DFNS)
average of 3 measurement of the threshold with the method of limits, as described in the protocol of the German Research Network on Neuropathic Pain - DFNS
baseline
Other Outcomes (2)
Utah Early Neuropathy Scale
baseline
Toronto clinical neuropathy score
baseline
Study Arms (1)
Main study
EXPERIMENTALSeveral electrophysiological and behavioural tests will be performed to properly diagnose the patients/check that the healthy controls do not suffer of neuropathy.
Interventions
The testing will be carried out using the classical method of limits, i.e. a continuous heating/cooling stimulus will be applied to the skin at a rate of 1°C/s, until the subject signals that he/she felt the targeted sensation by pressing a button (Rolke, Baron, et al., 2006). The temperature reached by the time the subject pressed the button will be considered the threshold. Baseline temperature will be set at 32°C. The stimuli will not go lower than 0°C and higher than 50°C.
The Psi algorithm is a method using Bayesian statistics to determine not only the threshold but also the slope of the psychometric function (relationship between the intensity of a stimulus and its detection probability; Kingdom \& Prins, 2010). The algorithm selects the next stimulus intensity to be the most informative on the parameters of interest, based on the prior probability density. After each stimulation, the subject will be asked if he/she felt it (as painful) or not. Based on that answer, a posterior probability density is computed. This posterior is then used as prior for the next stimulation. The stimuli will last maximum 1 s and temperature will be kept between 0°C and 60°C.
A standardized neurological examination will be performed to assess all the items included in the Utah Early Neuropathy Scale (UENS ) (Singleton et al., 2008) and the Toronto Clinical Neuropathy Score (TCNS)(Perkins, Olaleye, Zinman, \& Bril, 2001). This will include: questions about symptoms (presence or absence of foot pain, numbness, tingling, weakness, imbalance and upper limb symptoms); evaluation of knees and ankles deep tendon reflexes; evaluation of pinprick, temperature, light touch, vibration (128 Hz tuning fork) compared to that of an unaffected sites (e.g., sternum); position sensation in the big toes; mapping of pinprick sensitivity in the lower leg; and evaluation of the active extension of the big toes. Pinprick evaluation will be performed using a disposable pin designed for that purpose (Medipin, The United-Kingdom).
Eligibility Criteria
You may not qualify if:
- Alcohol beverage intake \>3 units/day
- Habitual substance abuse
- History of chemotherapy
- Scar or dermatological condition at the site of stimulation (forearm and hands, leg and foot)
- History of neurological, psychiatric or metabolic disorder other than Diabetes Mellitus (screening will be performed with the patient)
- Currently taking drugs that could induce neuropathy (screening will be performed with the patient)
- For healthy controls: Suffering of chronic pain
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Institute of Neuroscience
Brussels, 1200, Belgium
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
André Mouraux, MD, PhD
Université Catholique de Louvain
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 23, 2020
First Posted
November 2, 2020
Study Start
October 10, 2020
Primary Completion
July 1, 2022
Study Completion
January 1, 2023
Last Updated
October 8, 2021
Record last verified: 2021-09
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP
- Time Frame
- SAP will be available on the OSF repository by January 2021. Anonymized data will be freely available (stored on an OSF repository) as supporting material for publication.
- Access Criteria
- No restriction
SAP will be available on the OSF repository by January 2021. Anonymized data will be freely available (stored on an OSF repository) as supporting material for publication.