Tinel's sign – significance, mechanism, and diagnostic application: A Literature Review

Abstract The Hoffmann-Tinel sign, commonly referred to as Tinel’s sign, is a time-honored, non-invasive clinical test used to assess the function of peripheral nerves. First described in 1915, it remains widely employed in neurology, neurosurgery, and orthopedics for diagnosing compressive neuropathies and monitoring nerve regeneration. The sign is elicited by mechanical stimulation of a damaged or regenerating nerve, which evokes ectopic impulses perceived as tingling or electric shock-like sensations in and along the nerve’s sensory distribution. This review explores the physiological basis, technique, and diagnostic applications of Tinel’s sign in conditions such as carpal tunnel syndrome, cubital tunnel syndrome, thoracic outlet syndrome, and post- traumatic nerve injuries. Although limited by variability in sensitivity and specificity, subjective interpretation, and the absence of standardized protocols, Tinel’s sign remains a cost-effective and clinically valuable component of neurological assessment. When interpreted alongside electrodiagnostic studies and imaging, it contributes to early diagnosis, localization of pathology, and tracking of nerve recovery. Future research should focus on standardizing evaluation methods and assessing the potential integration of Tinel’s sign into AI-supported diagnostic systems.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-16
DOI
https://doi.org/10.5281/zenodo.17129324
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Tinel's sign – significance, mechanism, and diagnostic application: A Literature Review

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Tinel's sign – significance, mechanism, and diagnostic application: A Literature Review

article en

Abstract

Abstract The Hoffmann-Tinel sign, commonly referred to as Tinel’s sign, is a time-honored, non-invasive clinical test used to assess the function of peripheral nerves. First described in 1915, it remains widely employed in neurology, neurosurgery, and orthopedics for diagnosing compressive neuropathies and monitoring nerve regeneration. The sign is elicited by mechanical stimulation of a damaged or regenerating nerve, which evokes ectopic impulses perceived as tingling or electric shock-like sensations in and along the nerve’s sensory distribution. This review explores the physiological basis, technique, and diagnostic applications of Tinel’s sign in conditions such as carpal tunnel syndrome, cubital tunnel syndrome, thoracic outlet syndrome, and post- traumatic nerve injuries. Although limited by variability in sensitivity and specificity, subjective interpretation, and the absence of standardized protocols, Tinel’s sign remains a cost-effective and clinically valuable component of neurological assessment. When interpreted alongside electrodiagnostic studies and imaging, it contributes to early diagnosis, localization of pathology, and tracking of nerve recovery. Future research should focus on standardizing evaluation methods and assessing the potential integration of Tinel’s sign into AI-supported diagnostic systems.

Zenodo (CERN European Organization for Nuclear Research)
Medical University of Warsaw (PL), John Paul II Hospital (PL), Wyższa Szkoła Komunikowania i Mediów Społecznych im. Jerzego Giedroycia (PL), 1 Military Clinical Hospital with Outpatient Clinic (PL), Wroclaw Research Centre EIT+ (Poland) (PL), Międzyleski Szpital Specjalistyczny w Warszawie (PL), Foundation of Cardiac Surgery Development (PL), University Hospital Ulm (DE), University of Warsaw (PL), Cardinal Stefan Wyszynski University in Warsaw (PL)
Openalex Percentile: Top 38%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.