Why the study?
Early detection of chemotherapy-induced peripheral neuropathy remains challenging due to the lack of objective assessment tools.
Does multimodal neurophysiological assessment improve the diagnosis of chemotherapy-induced peripheral neuropathy in cancer patients?
Population
40 cancer patients undergoing platinum- or taxane-based chemotherapy and 40 healthy controls
Comparison
Before vs after chemotherapy completion or three weeks following neurological symptom onset
Design
Prospective diagnostic accuracy study
Key result
A combined diagnostic model incorporating upper limb sympathetic skin response amplitude and medial plantar nerve sensory conduction velocity achieved an AUC of 0.881 for detecting chemotherapy-induced peripheral neuropathy.
Authors
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Supports multimodal neurophysiological testing for early chemotherapy-induced peripheral neuropathy detection; leaves open whether routine implementation improves.
Observational (n=80)
Single-blind
No
Does multimodal neurophysiological assessment improve the diagnosis of chemotherapy-induced peripheral neuropathy in cancer patients?
Effect estimate: AUC 0.881 (95% CI 0.772-0.990)
Absolute Event Rate: 0.881% vs 0.844%
p-value: p=0.041
The combination of sympathetic skin response amplitude and medial plantar nerve sensory conduction velocity shows promising diagnostic performance for detecting chemotherapy-induced peripheral neuropathy.
Shi et al. (2026) conducted an observational in Chemotherapy-induced peripheral neuropathy (n=80). Combined upper limb sympathetic skin response (SSR) amplitude and medial plantar nerve sensory conduction velocity (SCV) vs. Upper limb SSR amplitude alone was evaluated on Diagnostic accuracy (Area Under the Curve) for chemotherapy-induced peripheral neuropathy (AUC 0.881, 95% CI 0.772-0.990, p=0.041). A combined diagnostic model incorporating upper limb sympathetic skin response amplitude and medial plantar nerve sensory conduction velocity achieved an AUC of 0.881 for detecting chemotherapy-induced peripheral neuropathy.