Notes

Association among soreness, stress and anxiety, as well as pain alleviation throughout sufferers acquiring emergent endodontic treatment.
Therefore, we developed the LDcnv that integrated the genomic correlation structure with a local search strategy into statistical modelling of the CNV intensities. To evaluate the performance of LDcnv, we conducted extensive simulations and analyzed large-scale HapMap datasets. We showed that LDcnv presented high accuracy, stability and robustness in CNV detection and higher precision in detecting short CNVs compared to existing methods. This new segmentation algorithm has a wide scope of potential application with data from various high-throughput technology platforms.

https//github.com/FeifeiXiaoUSC/LDcnv.

Supplementary data are available at Bioinformatics online.
Supplementary data are available at Bioinformatics online.
Given the risks of postoperative morbidity and its consequent economic burden and impairment to patients undergoing colon resection, evaluating risk factors associated with complications will allow risk stratification and the targeting of supportive interventions. Evaluation of muscle characteristics is an emerging area for improving preoperative risk stratification.

To examine the associations of muscle characteristics with postoperative complications, length of hospital stay (LOS), readmission, and mortality in patients with colon cancer.

This population-based retrospective cohort study was conducted among 1630 patients who received a diagnosis of stage I to III colon cancer from January 2006 to December 2011 at Kaiser Permanente Northern California, an integrated health care system. Preliminary data analysis started in 2017. Because major complication data were collected between 2018 and 2019, the final analysis using the current cohort was conducted between 2019 and 2020.

Low skeletal muscle index.41; 95% CI, 1.44-4.04).

Low SMI and low SMD were associated with longer LOS, higher risk of postsurgical complications, and short-term and long-term mortality. Research should evaluate whether targeting potentially modifiable factors preoperatively, such as preserving muscle mass, could reverse the observed negative associations with postoperative outcomes.
Low SMI and low SMD were associated with longer LOS, higher risk of postsurgical complications, and short-term and long-term mortality. Research should evaluate whether targeting potentially modifiable factors preoperatively, such as preserving muscle mass, could reverse the observed negative associations with postoperative outcomes.
Mechanisms linking habitual consumption of coffee and tea to the development of type 2 diabetes and cardiovascular diseases remain unclear.

We leveraged dietary, genetic, and biomarker data collected from the UK Biobank to investigate the role of different varieties of coffee and tea in cardiometabolic health.

We included data from ≤447,794 participants aged 37-73 y in 2006-2010 who provided a blood sample and completed questionnaires regarding sociodemographic factors, medical history, diet, and lifestyle. Multivariable linear regression was used to examine the association between coffee or tea consumption and blood concentrations of glycated hemoglobin, fasting glucose, total cholesterol, HDL cholesterol, LDL cholesterol, fasting triglycerides (TGs), apoA-1, apoB, lipoprotein-a, and C-reactive protein (CRP). Lifestyle and genetic factors affecting caffeine metabolism, responses, or intake were tested for interactions with beverage intake in relation to biomarker concentrations.

Compared with coffee etabolism, suggesting a role of noncaffeine constituents of these beverages in cardiometabolic health.
In the UK Biobank, consumption of certain coffee brews such as espresso had unfavorable associations with blood lipids, whereas consumption of tea had favorable associations. Findings were not modified by genetic variants affecting caffeine metabolism, suggesting a role of noncaffeine constituents of these beverages in cardiometabolic health.
Generalized anxiety disorder (GAD) is common, impairing, and undertreated. Although many patients with GAD seek complementary and alternative interventions, including yoga, data supporting yoga's efficacy or how it compares to first-line treatments are lacking.

To assess whether yoga (Kundalini yoga) and cognitive behavioral therapy (CBT) for GAD are each more effective than a control condition (stress education) and whether yoga is noninferior to CBT for the treatment of GAD.

For this randomized, 3-arm, controlled, single-blind (masked independent raters) clinical trial, participants were recruited from 2 specialty academic centers starting December 1, 2013, with assessment ending October 25, 2019. Primary analyses, completed by February 12, 2020, included superiority testing of Kundalini yoga and CBT vs stress education and noninferiority testing of Kundalini yoga vs CBT.

Participants were randomized to Kundalini yoga (n = 93), CBT for GAD (n = 90), or stress education (n = 43), which were each deli [95% CI, 2.12-11.82]; P < .001; number needed to treat, 2.62 [95% CI, 1.91-5.68]). However, the noninferiority test did not find Kundalini yoga to be as effective as CBT (difference, 16.6%; P = .42 for noninferiority).

In this trial, Kundalini yoga was efficacious for GAD, but the results support CBT remaining first-line treatment.

ClinicalTrials.gov Identifier NCT01912287.
ClinicalTrials.gov Identifier NCT01912287.
We introduce HaploGrouper, a versatile software to classify haplotypes into haplogroups on the basis of a known phylogenetic tree. A typical use case for this software is the assignment of haplogroups to human mitochondrial DNA (mtDNA) or Y-chromosome haplotypes. Existing state-of-the-art haplogroup-calling software is typically hard-wired to work only with either mtDNA or Y-chromosome haplotypes from humans.

HaploGrouper exhibits comparable accuracy in these instances and has the advantage of being able to assign haplogroups to any kind of haplotypes from any species - given an extant annotated phylogenetic tree defined by sequence variants.

The software is available at the following URL https//gitlab.com/bio_anth_decode/haploGrouper.

Supplementary data are available at Bioinformatics online.
Supplementary data are available at Bioinformatics online.
In recent years, the well-known Infinite Sites Assumption (ISA) has been a fundamental feature of computational methods devised for reconstructing tumor phylogenies and inferring cancer progressions. However, recent studies leveraging Single-Cell Sequencing (SCS) techniques have shown evidence of the widespread recurrence and, especially, loss of mutations in several tumor samples. While there exist established computational methods that infer phylogenies with mutation losses, there remain some advancements to be made.

We present SASC (Simulated Annealing Single-Cell inference) a new and robust approach based on simulated annealing for the inference of cancer progression from SCS data sets. In particular, we introduce an extension of the model of evolution where mutations are only accumulated, by allowing also a limited amount of mutation loss in the evolutionary history of the tumor the Dollo-k model. We demonstrate that SASC achieves high levels of accuracy when tested on both simulated and real data sets and in comparison with some other available methods.

The Simulated Annealing Single-Cell inference (SASC) tool is open source and available at https//github.com/sciccolella/sasc.

Supplementary data are available at Bioinformatics online.
Supplementary data are available at Bioinformatics online.Marjolin's ulcer (MU) is a rare, aggressive entity with frequent delay in diagnosis for a variety of regions. Although well described and classically taught in medical school, aspects of its treatment remain ill-defined and controversial. A systematic review was performed according to PRISMA guidelines to identify studies discussing patients who underwent surgical treatment of Marjolin's Ulcer. Tamoxifen A total of 31 papers, reporting on 1,016 patients, were included. Burns were the most common etiology of malignant degeneration (68%), followed by trauma. The lower extremity was most affected (51%) and Squamous Cell Carcinoma (SCC) was found in 94% of cases, with the majority being well differentiated. Basal cell Carcinoma and Melenoma composed a minority of cases. Melanoma occurred more frequently in previously skin grafted wounds and had a higher rate of metastases than SCC. Most patients did not have associated regional or distant metastases present at diagnosis. Wide local excision (71%) was performed in most cases, unless amputation was indicated for severe disease or bone involvement. Lymphadenectomy and sentinel lymph node biopsy (SLNB) were variably reported, with conflicting evidence on the efficacy. Lymphadenectomy was most commonly indicated for known lymph node involvement. In cases of metastatic disease chemotherapy and radiation were used in conjunction with surgical treatment. Despite numerous articles on this topic, controversy remains in the management of MU. Early diagnosis of suspicious chronic wounds and prompt surgical intervention remain imperative to its treatment.Misreporting of added sugar intake has been the major criticism of studies linking high added sugar consumption to adverse health outcomes. Despite the advancement in dietary assessment methodologies, the bias introduced by self-reporting can never be completely eliminated. The search for an objective biomarker for total added sugar intake has therefore been a topic of interest. In this article, the reasons this search may be a wild goose chase will be outlined and discussed. The limitations and inability of the 2 candidate biomarkers, namely urinary sucrose and fructose and δ¹³C isotope, which are based on the 2 only possible ways (i.e., difference in metabolism and plant sources) to identify added sugar based on current knowledge in human physiology and food and nutritional sciences, are discussed in detail. Validation studies have shown that these 2 candidate biomarkers are unlikely to be suitable for use as a predictive or calibration biomarker for total added sugar intake. Unless advancement in our understanding in human physiology and food and nutritional sciences leads to new potential ways to distinguish between naturally occurring and added sugars, it is extremely unlikely that any accurate objective added sugar biomarker could be found. It may be time to stop the futile effort in searching for such a biomarker, and resources may be better spent on further improving and innovating dietary assessment methods to minimize the bias introduced by self-reporting.Women with polycystic ovary syndrome (PCOS) exhibit cardiometabolic (e.g., insulin resistance) and associated reproductive disruptions. Lifestyle modification (e.g., diet) is recommended as the first-line therapy to manage PCOS; however, a favorable dietary regimen remains unclear beyond energy restriction. We conducted a systematic review and meta-analysis of randomized controlled trials (RCTs) to summarize evidence on impacts of dietary glycemic index (GI) or glycemic load (GL) on cardiometabolic and reproductive profiles to update the International Evidence-based Guideline for the Assessment and Management of PCOS. Databases of MEDLINE, Cochrane, Web of Science, and Scopus were searched through 30 October 2019, and confirmed on 25 March 2020, to identify RCTs (≥8 wk) comparing the effects of diets with lower (LGI/LGL) and higher (HGI/HGL) GI/GL on glucoregulatory outcomes, lipid profile, anthropometrics, and androgen status in PCOS. The primary outcome was HOMA-IR. Data were pooled by random-effects models and expressed as weighted mean differences and 95% CIs.
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