Assessment of QOL Using the ESAS-r-J

Purpose To evaluate the perioperative symptoms of gastric cancer patients undergoing gastrectomy using the Edmonton Symptom Assessment System Revised Japanese version (ESAS-r-J), which is a nine-item visual analogue scale to rate patient symptoms. Methods Between February 2015 and March 2017, 246 patients completed the ESAS-r-J before and after gastrectomy. We evaluated the changes in the prevalence and score of each ESAS-r-J item before and after gastrectomy. In addition, we compared them after gastrectomy between patients who underwent the different approaches. Results Before gastrectomy, anxiety and well-being were the most prevalent items (80%), followed by depression (45%). After gastrectomy, well-being was the most prevalent item (87%), followed by pain (68%). The prevalence of anxiety decreased from 80% to 59% (P = 0.002). The depression and anxiety scores decreased from 1.6 to 1.1 (P < 0.001) and from 2.6 to 1.7 (P = 0.002), respectively. The total score was higher in patients who underwent open surgery than in patients who underwent laparoscopic surgery (16.9 vs 12.9 ; P = 0.031). Conclusions After gastrectomy, psychological symptoms such as depression and anxiety improved despite more physical complaints than before gastrectomy. The laparoscopy was less invasive. It is very important to take care of psychological aspects before gastrectomy

Botulinum toxin type A in post-stroke lower limb spasticity: a multicenter, double-blind, placebo-controlled trial

Lower limb spasticity in post-stroke patients can impair ambulation and reduces activities of daily living (ADL) performance of patients. Botulinum toxin type A (BoNTA) has been shown effective for upper limb spasticity. This study assesses the treatment of lower limb spasticity in a large placebo-controlled clinical trial. In this multicenter, randomized, double-blind, parallel-group, placebo-controlled study, we evaluate the efficacy and safety of one-time injections of botulinum toxin type A (BoNTA) in Japanese patients with post-stroke lower limb spasticity. One hundred twenty patients with lower limb spasticity were randomized to a single treatment with BoNTA 300 U or placebo. The tone of the ankle flexor was assessed at baseline and through 12 weeks using the Modified Ashworth Scale (MAS). Gait pattern and speed of gait were also assessed. The primary endpoint was area under the curve (AUC) of the change from baseline in the MAS ankle score. Significant improvement in spasticity with BoNTA 300 U was demonstrated by a mean difference in the AUC of the change from baseline in the MAS ankle score between the BoNTA and placebo groups (−3.428; 95% CIs, −5.841 to −1.016; p = 0.006; t test). A significantly greater decrease from baseline in the MAS ankle score was noted at weeks 4, 6 and 8 in the BoNTA group compared to the placebo group (p < 0.001). Significant improvement in the Clinicians Global Impression was noted by the investigator at weeks 4, 6 and 8 (p = 0.016–0.048, Wilcoxon test), but not by the patient or physical/occupational therapist. Assessments of gait pattern using the Physician’s Rating Scale and speed of gait revealed no significant treatment differences but showed a tendency towards improvement with BoNTA. No marked difference was noted in the frequency of treatment-related adverse events between BoNTA and placebo groups. This was the first large-scale trial to indicate that BoNTA significantly reduced spasticity in lower limb muscles

LPD after RHC for ascending colon cancer

Laparoscopic pancreaticoduodenectomy (LPD) has been widely adopted in institutions with sufficiently skilled practitioners. This technique requires attentive dissection around the superior mesenteric vein (SMV) and artery. Dissection around the SMV and Henle’s trunk is one of the key aspects of right hemicolectomy (RHC) ; adhesions and fibrosis around these vessels may impede LPD in patients with a history of RHC. We encountered three cases of periampullary tumors in patients with a history of RHC who were successfully treated with LPD. Cases 1, 2, and 3 were of 60-, 73-, and 74-year-old men with periampullary tumors. The operative durations in cases 1, 2, and 3 were 316, 267, and 265 min, respectively. The estimated blood loss volumes in cases 1, 2, and 3 were 20, 50, and 720 mL, respectively. The postoperative hospital stay durations in cases 1, 2, and 3 were of 13, 35, and 15 days, respectively. In conclusion, LPD following RHC may be safely completed with laparoscopy

Atorvastatin improves disease activity of nonalcoholic steatohepatitis partly through its tumour necrosis factor-alpha-lowering property

Background: We have previously found that atorvastatin decreases liver injury markers in patients with nonalcoholic steatohepatitis. However, how atorvastatin treatment ameliorates the disease activity in nonalcoholic steatohepatitis patients remains unknown. Aims: We examined here which anthropometric, metabolic and inflammatory variables were improved and related with amelioration of disease activity in atorvastatin-treated nonalcoholic steatohepatitis patients. Methods: Forty-two biopsy-proven nonalcoholic steatohepatitis patients with dyslipidemia were enrolled. Patients were treated with atorvastatin (10 mg/day) for 12 months. Results: Atorvastatin significantly decreased liver transaminase, gamma-glutamyl transpeptidase, low-density lipoprotein-cholesterol, triglycerides, type IV collagen, and tumour necrosis factor-alpha levels, whilst it increased adiponectin and high-density lipoprotein-cholesterol. Atorvastatin improved nonalcoholic fatty liver disease activity score and increased liver to spleen density ratio. Multiple stepwise regression analysis revealed that gamma-glutamyl transpeptidase, tumour necrosis factor-alpha and liver to spleen density ratio ( inversely) were independently associated with nonalcoholic fatty liver disease activity score. Aspartate aminotransferase, low-density lipoprotein-cholesterol and nonalcoholic fatty liver disease activity score were independent determinants of decreased liver to spleen density ratio. Conclusion: The present study suggests that atorvastatin improves the disease activity of nonalcoholic steatohepatitis partly via its tumour necrosis factor-alpha-lowering property. (C) 2011 Editrice Gastroenterologica Italiana S.r.l. Published by Elsevier Ltd. All rights reserved

Spin-singlet superconductivity in the doped topological crystalline insulator Sn0.96In0.04Te

The In-doped topological crystalline insulator Sn1−x InxTe is a candidate for a topological superconductor, where a pseudo-spin-triplet state has been proposed. To clarify the spin symmetry of Sn1−x InxTe, we perform 125Te-nuclear magnetic resonance (NMR) measurements in polycrystalline samples with 0 x 0.15. The penetration depth calculated from the NMR line width is T independent below half the superconducting transition temperature (Tc) in polycrystalline Sn0.96In0.04Te, which indicates a fully opened superconducting gap. In this sample, the spin susceptibility measured by the spin Knight shift (Ks) at an external magnetic field of μ0H0 = 0.0872 T decreases below Tc, and Ks(T = 0)/Ks(T = Tc) reaches 0.36 ± 0.10, which is far below the limiting value 2/3 expected for a spin-triplet state for a cubic crystal structure. Our result indicates that polycrystalline Sn0.96In0.04Te is a spin-singlet superconductor

Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From?

Many machine learning projects for new application areas involve teams of humans who label data for a particular purpose, from hiring crowdworkers to the paper's authors labeling the data themselves. Such a task is quite similar to (or a form of) structured content analysis, which is a longstanding methodology in the social sciences and humanities, with many established best practices. In this paper, we investigate to what extent a sample of machine learning application papers in social computing --- specifically papers from ArXiv and traditional publications performing an ML classification task on Twitter data --- give specific details about whether such best practices were followed. Our team conducted multiple rounds of structured content analysis of each paper, making determinations such as: Does the paper report who the labelers were, what their qualifications were, whether they independently labeled the same items, whether inter-rater reliability metrics were disclosed, what level of training and/or instructions were given to labelers, whether compensation for crowdworkers is disclosed, and if the training data is publicly available. We find a wide divergence in whether such practices were followed and documented. Much of machine learning research and education focuses on what is done once a "gold standard" of training data is available, but we discuss issues around the equally-important aspect of whether such data is reliable in the first place.Comment: 18 pages, includes appendi