5,931 research outputs found

    Another new species of the genus Habrophlebia Eaton, 1881 (Ephemeroptera, Leptophlebiidae) from the Maghreb.

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    A new species belonging to the genus Habrophlebia Eaton, 1881 is described at the nymphal stage from the Rif Mountains of Morocco. This species presents unique features, such as the chorionic arrangement of the egg and the ornamentation of the posterior margin of abdominal tergites. It is compared to all west European Habrophlebia species and a table with discriminating characters is given. A phylogenetic reconstruction based on COI sequences fully supports the hypothesis of a new species in the Rif Mountains, with possible further distribution in southern Spain

    Cost-effectiveness of buffered soluble alendronate 70 mg effervescent tablet for the treatment of postmenopausal women with osteoporosis in Italy

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    Summary: The use of buffered soluble alendronate 70 mg effervescent tablet, a convenient dosing regimen for bisphosphonate therapy, seems a cost-effective strategy compared with relevant alternative treatments for postmenopausal women with osteoporosis aged 60 years and over in Italy. Introduction: To assess the cost-effectiveness of buffered soluble alendronate (ALN) 70 mg effervescent tablet compared with relevant alternative treatments for postmenopausal osteoporotic women in Italy. Methods: A previously validated Markov microsimulation model was adjusted to the Italian healthcare setting to estimate the lifetime costs (expressed in €2019) per quality-adjusted life-years (QALY) of buffered soluble ALN compared with generic ALN, denosumab, zoledronic acid and no treatment. Pooled efficacy data derived from the NICE network meta-analysis were used for bisphosphonate treatments. Two treatment duration scenarios were assessed: 1 year using persistence data derived from an Italian prospective observational study including 144 and 216 postmenopausal osteoporotic women on buffered soluble ALN and oral ALN, respectively, and 3 years. Analyses were conducted for women 60–80 years of age with a bone mineral density T-score ≤ − 3.0 or with existing vertebral fractures. Results: In all simulated populations, buffered soluble ALN was dominant (more QALYs, lower costs) compared to denosumab. The cost per QALY gained of buffered soluble ALN compared to generic ALN and no treatment always falls below €20,000 per QALY gained. In the 1-year treatment scenario, zoledronic acid was associated with more QALY than buffered soluble ALN but the cost per QALY gained of zoledronic acid compared with buffered soluble ALN was always higher than €70,000, while buffered soluble ALN was dominant in the 3-year treatment scenario. Conclusion: This study suggests that buffered soluble ALN represents a cost-effective strategy compared with relevant alternative treatments for postmenopausal osteoporosis women in Italy aged 60 years and over. © 2021, The Author(s)

    GH and IGF System: The Regulatory Role of miRNAs and lncRNAs in Cancer

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    Growth hormone (GH) and the insulin-like growth factor (IGF) system are involved in many biological processes and have growth-promoting actions regulating cell proliferation, differentiation, apoptosis and angiogenesis. A recent chapter in epigenetics is represented by microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) which regulate gene expression. Dysregulated miRNAs and lncRNAs have been associated with several diseases including cancer. Herein we report the most recent findings concerning miRNAs and lncRNAs regulating GH and the IGF system in the context of pituitary adenomas, osteosarcoma and colorectal cancer, shedding light on new possible therapeutic targets. Pituitary adenomas are increasingly common intracranial tumors and somatotroph adenomas determine supra-physiological GH secretion and cause acromegaly. Osteosarcoma is the most frequent bone tumor in children and adolescents and was reported in adults who were treated with GH in childhood. Colorectal cancer is the third cancer in the world and has a higher prevalence in acromegalic patients

    Working time satisfaction in aging nurses

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    Satisfaction with working time could represent an index of good balance between work and life and predict satisfactory work ability and endurance of aged workers. This study is aimed at checking whether elderly nurses who were satisfied with working hours had a better work ability index than those unsatisfied, and finding which factors were related to satisfaction of working time with reference to general \u201cwell being\u201d and/or \u201cprivate life\u201d. The study sample consisted of 3,174 female nurses recruited in six European countries within the Nurses\u2019 Early Exit Study. All were rotating shiftworkers (nights included) and 12.95 % were over 45 years of age. A composite questionnaire, including demands at work and in private life, working conditions, individual resources and alternatives to nursing profession, was administered to the participants at baseline and 1 yr later (Time 1). Work ability index (WAI) at time 1 was used as outcome, whereas age groups and satisfaction of working time at baseline were used as predictors, after adjusting for family status and number of children < 7yrs of age. Also \u201csatisfaction with working time\u201d at Time 1 was used as outcome, whereas working hours, job demand, leisure time, influence on planning rotas, family status, number of children, work/family conflicts, sleep at Time 0 were included as potential determinants. Conditional Random Forest analysis was used to evaluate high, moderate or weak importance of these determinants. Nurses satisfied with working time at time 0 showed a higher WAI (time1) than those unsatisfied in all age groups, also over 50. Less work/family conflicts and better quality and quantity sleep turned out to be the best predictors of satisfaction with working time. Consistently, the importance of the other predictors differs when the outcome is \u201csatisfaction with working time\u201d related to general well-being rather than to private life

    The Development of a Short Version of the SIMS Using Machine Learning to Detect Feigning in Forensic Assessment

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    In the present study, we applied machine learning techniques to evaluate whether the Structured Inventory of Malingered Symptomatology (SIMS) can be reduced in length yet maintain accurate discrimination between consistent participants (i.e., presumed truth tellers) and symptom producers. We applied machine learning item selection techniques on data from Mazza et al. (2019c) to identify the minimum number of original SIMS items that could accurately distinguish between consistent participants, symptom accentuators, and symptom producers in real personal injury cases. Subjects were personal injury claimants who had undergone forensic assessment, which is known to incentivize malingering and symptom accentuation. Item selection yielded short versions of the scale with as few as 8 items (to differentiate between consistent participants and symptom producers) and as many as 10 items (to differentiate between consistent and inconsistent participants). The scales had higher classification accuracy than the original SIMS and did not show the bias that was originally reported between false positives and false negatives
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