Quantitative sensory testing: a comprehensive protocol for clinical trials

By R. Rolke, W. Magerl, K. Campbell, C. Schalber, S. Caspari, F. Birklein, Rolf-Detlef Treede. European Journal of Pain, 2006

1,443 citations recorded by the source corpus.

Subfields: Neurology, Pharmacology, Physiology

View Paper: https://www.semanticscholar.org/paper/83889e3a14d5e401a1ab65abd8675286e39dfe13

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Neurology

1. Niels Birbaumer
2. Jürgen Sandkühler
3. R. Baron

In Pharmacology

1. Niels Birbaumer
2. Jürgen Sandkühler
3. R. Baron

In Physiology

1. Niels Birbaumer
2. Jürgen Sandkühler
3. Rolf-Detlef Treede
4. R. Baron

Citations in the corpus

• Quantitative sensory testing in the German Research Network on Neuropathic Pain (DFNS): Somatosensory abnormalities in 1236 patients with different neuropathic pain syndromes (2010, methodology): “All other parameters were normally distributed in log-space and were transformed logarithmically before statistical analysis [47].”
• Don't fear ‘fear conditioning’: Methodological considerations for the design and analysis of studies on human fear acquisition, extinction, and return of fear (2017, neutral): “Importantly, other procedures, such as quantitative sensory esting (Rolke et al., 2006) and quantification of sensory input, are vailable (Edwards et al., 2005) but these are not widely employed.”
• Models and mechanisms of hyperalgesia and allodynia. (2009, background): “Perceptual correlates of action potential wind-up can be studied in normal human subjects (437, 496), in human subjects with an experimental hyperalgesia (471, 560), and in pain patients (267, 497) when repetitive noxious stimuli are given at a frequency that is compatible with the window of wind-up”
• Quantitative sensory testing in the German Research Network on Neuropathic Pain (DFNS): Standardized protocol and reference values (2006, methodology): “Sensory profiles of a given patient are more conveniently displayed as z-scores (Rolke et al., 2006), where each individual parameter is related to its region-, age- and genderspecific reference range and is displayed as the number of standard deviations above or below the normal mean.”
• Validation of proposed diagnostic criteria (the “Budapest Criteria”) for Complex Regional Pain Syndrome (2010, methodology): “) and based on procedures described previously [8,29].”