Acupuncture in shoulder pain and functional impairment after neck dissection: A prospective randomized pilot study

OBJECTIVES/HYPOTHESIS: The efficacy of conventional physiotherapy and antiinflammatory/analgesic drugs in the management of shoulder pain and functional disability following neck dissection is often disappointing. Acupuncture is a safe and well-tolerated method. We report the results regarding our pilot trial of acupuncture versus conventional care in the management of postoperative shoulder pain and dysfunction after neck dissection. STUDY DESIGN: Pilot study. METHODS: Patients at a tertiary university center with chronic pain or dysfunction attributed to neck dissection were randomly assigned to either weekly acupuncture or usual care (eg., physical therapy, analgesia, and/or antiinflammatory drugs) for 5 consecutive weeks. The Constant-Murley score, a composite measure of pain, function, and activities of daily living, was the primary outcome measure. As secondary end point, The Neck Dissection Impairment Index (NDII) was used to quantify site-specific, self-reported quality of life (QOL). RESULTS: After randomization, 48 patients completed the study (23 and 25 patients on acupuncture and control arms, respectively). Constant-Murley scores improved more in the acupuncture group (gain difference between groups 13.6, P < 0.01), a statistically significant improvement in site-specific QOL was also recorded at NDII (gain difference between groups 11.5, P < 0.01). CONCLUSION: Acupuncture is safe and effective; it should be introduced and offered to patients suffering from neck pain and dysfunction related to neck dissection

The WEIZMASS spectral library for high-confidence metabolite identification

Annotation of metabolites is an essential, yet problematic, aspect of mass spectrometry (MS)-based metabolomics assays. The current repertoire of definitive annotations of metabolite spectra in public MS databases is limited and suffers from lack of chemical and taxonomic diversity. Furthermore, the heterogeneity of the data prevents the development of universally applicable metabolite annotation tools. Here we present a combined experimental and computational platform to advance this key issue in metabolomics. WEIZMASS is a unique reference metabolite spectral library developed from high-resolution MS data acquired from a structurally diverse set of 3,540 plant metabolites. We also present MatchWeiz, a multi-module strategy using a probabilistic approach to match library and experimental data. This strategy allows efficient and high-confidence identification of dozens of metabolites in model and exotic plants, including metabolites not previously reported in plants or found in few plant species to date.</p