Impact of Pressurized Intraperitoneal Aerosol Chemotherapy on Quality of Life and Symptoms in Patients with Peritoneal Carcinomatosis: A Retrospective Cohort Study.

Background. Peritoneal cancer treatment aims to prolong survival, but preserving Quality of Life (QoL) under treatment is also a priority. Pressurized Intraperitoneal Aerosol Chemotherapy (PIPAC) is a novel minimally invasive repeatable treatment modality. The aim of the present study was to assess QoL in our cohort of PIPAC patients. Methods. Analysis of all consecutive patients included from the start of PIPAC program (January 2015). QoL (0-100: optimal) and symptoms (no symptom: 0-100) were measured prospectively before and after every PIPAC procedure using EORTC QLQ-C30. Results. Forty-two patients (M : F = 8 : 34, median age 66 (59-73) years) had 91 PIPAC procedures in total (1 : 4x, 17 : 3x, 12 : 2x, and 12 : 1x). Before first PIPAC, baseline QoL was measured as median of 66 ± 2.64. Prominent complaints were fatigue (32 ± 4.3) and digestive symptoms as diarrhea (17 ± 3.75), constipation (17 ± 4.13), and nausea (7 ± 2.54). Overall Quality of Life was 64 ± 3.75 after PIPAC#1 (p = 0.57), 61 ± 4.76 after PIPAC#2 (p = 0.89), and 70 ± 6.67 after PIPAC#3 (p = 0.58). Fatigue symptom score was 44 ± 4.86 after PIPAC#1 and 47 ± 6.69 and 34 ± 7.85 after second and third applications, respectively (p = 0.40). Diarrhea (p = 0.31), constipation (p = 0.76), and nausea (p = 0.66) did not change significantly under PIPAC treatment. Conclusion. PIPAC treatment of peritoneal carcinomatosis had no negative impact on patients' overall QoL and its components or on main symptoms. This study was registered online on Research Registry (UIN: 1608)

Languages cool as they expand: Allometric scaling and the decreasing need for new words

We analyze the occurrence frequencies of over 15 million words recorded in millions of books published during the past two centuries in seven different languages. For all languages and chronological subsets of the data we confirm that two scaling regimes characterize the word frequency distributions, with only the more common words obeying the classic Zipf law. Using corpora of unprecedented size, we test the allometric scaling relation between the corpus size and the vocabulary size of growing languages to demonstrate a decreasing marginal need for new words, a feature that is likely related to the underlying correlations between words. We calculate the annual growth fluctuations of word use which has a decreasing trend as the corpus size increases, indicating a slowdown in linguistic evolution following language expansion. This ‘‘cooling pattern’’ forms the basis of a third statistical regularity, which unlike the Zipf and the Heaps law, is dynamical in nature

Statistical Laws Governing Fluctuations in Word Use from Word Birth to Word Death

We analyze the dynamic properties of 10^7 words recorded in English, Spanish and Hebrew over the period 1800--2008 in order to gain insight into the coevolution of language and culture. We report language independent patterns useful as benchmarks for theoretical models of language evolution. A significantly decreasing (increasing) trend in the birth (death) rate of words indicates a recent shift in the selection laws governing word use. For new words, we observe a peak in the growth-rate fluctuations around 40 years after introduction, consistent with the typical entry time into standard dictionaries and the human generational timescale. Pronounced changes in the dynamics of language during periods of war shows that word correlations, occurring across time and between words, are largely influenced by coevolutionary social, technological, and political factors. We quantify cultural memory by analyzing the long-term correlations in the use of individual words using detrended fluctuation analysis.Comment: Version 1: 31 pages, 17 figures, 3 tables. Version 2 is streamlined, eliminates substantial material and incorporates referee comments: 19 pages, 14 figures, 3 table

On Hilberg's Law and Its Links with Guiraud's Law

Hilberg (1990) supposed that finite-order excess entropy of a random human text is proportional to the square root of the text length. Assuming that Hilberg's hypothesis is true, we derive Guiraud's law, which states that the number of word types in a text is greater than proportional to the square root of the text length. Our derivation is based on some mathematical conjecture in coding theory and on several experiments suggesting that words can be defined approximately as the nonterminals of the shortest context-free grammar for the text. Such operational definition of words can be applied even to texts deprived of spaces, which do not allow for Mandelbrot's ``intermittent silence'' explanation of Zipf's and Guiraud's laws. In contrast to Mandelbrot's, our model assumes some probabilistic long-memory effects in human narration and might be capable of explaining Menzerath's law.Comment: To appear in Journal of Quantitative Linguistic

Information transmission in oscillatory neural activity

Periodic neural activity not locked to the stimulus or to motor responses is usually ignored. Here, we present new tools for modeling and quantifying the information transmission based on periodic neural activity that occurs with quasi-random phase relative to the stimulus. We propose a model to reproduce characteristic features of oscillatory spike trains, such as histograms of inter-spike intervals and phase locking of spikes to an oscillatory influence. The proposed model is based on an inhomogeneous Gamma process governed by a density function that is a product of the usual stimulus-dependent rate and a quasi-periodic function. Further, we present an analysis method generalizing the direct method (Rieke et al, 1999; Brenner et al, 2000) to assess the information content in such data. We demonstrate these tools on recordings from relay cells in the lateral geniculate nucleus of the cat.Comment: 18 pages, 8 figures, to appear in Biological Cybernetic

Cigarette smoking habit does not reduce the benefit from first line trastuzumab-based treatment in advanced breast cancer patients

Many ErbB2-positive cancers may show intrinsic resistance, and the frequent development of acquired resistance to ErbB-targeted agents represents a substantial clinical problem. The constitutive NF-κB activation in some HER-2/neu positive breast cancer may represent a potential cause of resistance to trastuzumab therapy. Preclinical data revealed that 4-(N-Methyl-N- nitrosamino)-1-(3-pyridyl)-1-butanone (NNK), the tobacco-specific nitrosamine is able to enhance NF-κB DNA binding activity and theoretically to increase the resistance to trastuzumab. Two hundred and forty-eight women with pathologically confirmed, uni- or bidimensionally measurable, HER-2-positive metastatic breast cancer (MBC) treated with trastuzumab-based therapy as first line combination for metastatic disease were considered eligible. For all included patients data on smoking habit were detectable from medical records. We retrospectively analysed the smoking habits of 248 MBC patients and correlated these habits with activity and efficacy of trastuzumab-based therapy. No statistically significant difference in terms of response rate (RR), time to progression (TTP) and overall survival (OS) was identified between smokers (former plus active smokers) and never smokers. Moreover, no statistically significant difference in terms of RR, TTP and OS was identified either comparing active smokers and former smokers. Moreover, we did not observed any significant statistical difference in terms of TTP and OS between smokers ≥10 cigarettes/day and ≤10 cigarettes/day. This study clearly showed lack of any correlation between cigarette smoking habit and both activity and efficacy of trastuzumab-based first line therapy in metastatic HER2/neu positive breast cancer patients. Copyright © 2011 Spandidos Publications Ltd. All rights reserved

Multiple brain abscesses of odontogenic origin. May oral microbiota affect their development? a review of the current literature

In the last few years, the role of oral microbiota in the setting of oral diseases such as caries, periodontal disease, oral cancer and systemic infections, including rheumatoid arthritis, car-diovascular disease and brain abscess (BA), has attracted the attention of physicians and researchers. Approximately 5–7% of all BAs have an odontogenic origin, representing an important pathological systemic condition with a high morbidity and mortality. A systematic search of two databases (Pubmed and Ovid EMBASE) was performed for studies published up to 5 January 2021, reporting multiple BAs attributed to an odontogenic origin. According to PRISMA guidelines, we included a total of 16 papers reporting multiple BAs due to odontogenic infections. The aim of this review is to investigate the treatment modality and the clinical outcome of patients with multiple BAs due to odontogenic infections, as well as to identify the most common pathogens involved in this pathological status and their role, in the oral microbiota, in the onset of oral infections. A multidisciplinary approach is essential in the management of multiple BAs. Further studies are required to understand better the role of microbiota in the development of multiple BAs

Temporomandibular disorders and fibromyalgia: A narrative review

Temporomandibular disorder (TMD) and fibromyalgia (FM) have some clinical characteristics in common, for instance the chronic evolution, the pathophysiology incompletely understood and a multifactorial genesis. The incidence and the relationship between TMD and FM patients are the aims of this review. A MEDLINE and PubMed search were performed for the key words “temporomandibular disorder” AND “fibromyalgia” from 2000 to present. A total of 19 papers were included in our review, accounting for 5449 patients. Ten studies, reporting a total of 4945 patients with TMD, showed that only 16.5% of these patients had diagnosis of FM, whereas 12 studies, reporting a total of 504 patients with FM, demonstrated that 77.0% of these patients had diagnosis of TMD. A comorbid relationship exists between TMD and FM. The complexity of both diseases shows the importance of a multimodal and interdisciplinary

Wikipedia Information Flow Analysis Reveals the Scale-Free Architecture of the Semantic Space

In this paper we extract the topology of the semantic space in its encyclopedic acception, measuring the semantic flow between the different entries of the largest modern encyclopedia, Wikipedia, and thus creating a directed complex network of semantic flows. Notably at the percolation threshold the semantic space is characterised by scale-free behaviour at different levels of complexity and this relates the semantic space to a wide range of biological, social and linguistics phenomena. In particular we find that the cluster size distribution, representing the size of different semantic areas, is scale-free. Moreover the topology of the resulting semantic space is scale-free in the connectivity distribution and displays small-world properties. However its statistical properties do not allow a classical interpretation via a generative model based on a simple multiplicative process. After giving a detailed description and interpretation of the topological properties of the semantic space, we introduce a stochastic model of content-based network, based on a copy and mutation algorithm and on the Heaps' law, that is able to capture the main statistical properties of the analysed semantic space, including the Zipf's law for the word frequency distribution