Pooled Analysis of a Self-Sampling HPV DNA Test as a Cervical Cancer Primary Screening Method

BackgroundWorldwide, one-seventh of cervical cancers occur in China, which lacks a national screening program. By evaluating the diagnostic accuracy of self-collected cervicovaginal specimens tested for human papillomavirus (HPV) DNA (Self-HPV testing) in China, we sought to determine whether Self-HPV testing may serve as a primary cervical cancer screening method in low-resource settings.MethodsWe compiled individual patient data from five population-based cervical cancer–screening studies in China. Participants (n = 13 140) received Self-HPV testing, physician-collected cervical specimens for HPV testing (Physician-HPV testing), liquid-based cytology (LBC), and visual inspection with acetic acid (VIA). Screen-positive women underwent colposcopy and confirmatory biopsy. We analyzed the accuracies of pooled Self-HPV testing, Physician-HPV testing, VIA, and LBC to detect biopsy-confirmed cervical intraepithelial neoplasia grade 2 or more severe (CIN2+) and CIN3+. All statistical tests were two-sided.ResultsOf 13 004 women included in the analysis, 507 (3.9%) were diagnosed as CIN2+, 273 (2.1%) as CIN3+, and 37 (0.3%) with cervical cancer. Self-HPV testing had 86.2% sensitivity and 80.7% specificity for detecting CIN2+ and 86.1% sensitivity and 79.5% specificity for detecting CIN3+. VIA had statistically significantly lower sensitivity for detecting CIN2+ (50.3%) and CIN3+ (55.7%) and higher specificity for detecting CIN2+ (87.4%) and CIN3+ (86.9%) (all P values < .001) than Self-HPV testing, LBC had lower sensitivity for detecting CIN2+ (80.7%, P = .015), similar sensitivity for detecting CIN3+ (89.0%, P = .341), and higher specificity for detecting CIN2+ (94.0%, P < .001) and CIN3+ (92.8%, P < .001) than Self-HPV testing. Physician-HPV testing was more sensitive for detecting CIN2+ (97.0%) and CIN3+ (97.8%) but similarly specific for detecting CIN2+ (82.7%) and CIN3+ (81.3%) (all P values <.001) than Self-HPV testing.ConclusionsThe sensitivity of Self-HPV testing compared favorably with that of LBC and was superior to the sensitivity of VIA. Self-HPV testing may complement current screening programs by increasing population coverage in settings that do not have easy access to comprehensive cytology-based screening

Search for stop and higgsino production using diphoton Higgs boson decays

Results are presented of a search for a "natural" supersymmetry scenario with gauge mediated symmetry breaking. It is assumed that only the supersymmetric partners of the top-quark (stop) and the Higgs boson (higgsino) are accessible. Events are examined in which there are two photons forming a Higgs boson candidate, and at least two b-quark jets. In 19.7 inverse femtobarns of proton-proton collision data at sqrt(s) = 8 TeV, recorded in the CMS experiment, no evidence of a signal is found and lower limits at the 95% confidence level are set, excluding the stop mass below 360 to 410 GeV, depending on the higgsino mass

Severe early onset preeclampsia: short and long term clinical, psychosocial and biochemical aspects

Preeclampsia is a pregnancy specific disorder commonly defined as de novo hypertension and proteinuria after 20 weeks gestational age. It occurs in approximately 3-5% of pregnancies and it is still a major cause of both foetal and maternal morbidity and mortality worldwide1. As extensive research has not yet elucidated the aetiology of preeclampsia, there are no rational preventive or therapeutic interventions available. The only rational treatment is delivery, which benefits the mother but is not in the interest of the foetus, if remote from term. Early onset preeclampsia (<32 weeks’ gestational age) occurs in less than 1% of pregnancies. It is, however often associated with maternal morbidity as the risk of progression to severe maternal disease is inversely related with gestational age at onset2. Resulting prematurity is therefore the main cause of neonatal mortality and morbidity in patients with severe preeclampsia3. Although the discussion is ongoing, perinatal survival is suggested to be increased in patients with preterm preeclampsia by expectant, non-interventional management. This temporising treatment option to lengthen pregnancy includes the use of antihypertensive medication to control hypertension, magnesium sulphate to prevent eclampsia and corticosteroids to enhance foetal lung maturity4. With optimal maternal haemodynamic status and reassuring foetal condition this results on average in an extension of 2 weeks. Prolongation of these pregnancies is a great challenge for clinicians to balance between potential maternal risks on one the eve hand and possible foetal benefits on the other. Clinical controversies regarding prolongation of preterm preeclamptic pregnancies still exist – also taking into account that preeclampsia is the leading cause of maternal mortality in the Netherlands5 - a debate which is even more pronounced in very preterm pregnancies with questionable foetal viability6-9. Do maternal risks of prolongation of these very early pregnancies outweigh the chances of neonatal survival? Counselling of women with very early onset preeclampsia not only comprises of knowledge of the outcome of those particular pregnancies, but also knowledge of outcomes of future pregnancies of these women is of major clinical importance. This thesis opens with a review of the literature on identifiable risk factors of preeclampsia

Not Available

Not AvailableThis study describes the development of Avidin-Biotin recombinant Antigen Capture ELISA (ABrAC ELISA) for the detection of the peste des petits ruminants virus (PPRV) antigens in the clinical specimens of sheep and goats. The assay uses the truncated recombinant PPRV N-terminal immunogenic region of nucleoprotein (rPPRV-NPN) as a reference positive antigen and its polyclonal antibodies as capture/detective antibodies and the rabbit PPRV polyclonal antibodies as coating antibodies. The cut-off value was determined as double times the mean reactivity of blank control based on the reactivity of the PPR confirmed negative and positive control panel samples. On assessing the specificity with the related differential diagnosis of the disease-causing viruses and bacteria, the assay showed specific detective reactivity to PPRV. Further, on evaluation using clinical specimens (n-274) of sheep and goats, the assay showed that the relative diagnostic sensitivity of 86.49 % (95 % confidence interval (CI): 71.23–95.46 %) and diagnostic specificity of 96.20 % (95 % CI: 92.91–98.25 %) against PPRV nucleoprotein-specific monoclonal antibody-based sandwich-ELISA (PPR s-ELISA) kit, with an accuracy of 94.89 % (95 % CI: 91.58–97.18 %) and Cohen's Kappa value of 0.791 + 0.055 SE (95 % CI: 0.68−0.90) with substantial agreements. The ABrAC-ELISA is an alternative method of an immunoassay for the rapid, sensitive, and specific detection of the PPRV antigens m the clinical specimens of sheep and goats for surveillance or diagnosis of PPR. This study also shows that the rPPRV-NPN and its specific polyclonal antibodies could be the sustainable source of safe diagnostic reagents without the need to handle the infectious virus during the eradication and post-eradication phases in endemic countries like India or PPR non-endemic countriesNot Availabl

Dynamic clustering with soft computing

Clustering methods are one of the most popular approaches to data mining. They have been successfully used in virtually any field covering domains such as economics, marketing, bioinformatics, engineering, and many others. The classic cluster algorithms require static data structures. However, there is an increasing need to address changing data patterns. On the one hand, this need is generated by the rapidly growing amount of data that is collected by modern information systems and that has led to an increasing interest in data mining as its whole again. On the other hand, modern economies and markets do not deal with stable settings any longer but are facing the challenge to adapt to constantly changing environments. These include seasonal changes but also long-term trends that structurally change whole economies, wipe out companies that cannot adapt to these trends, and create opportunities for entrepreneurs who establish large multinational corporations virtually out of nothing in just one decade or two. Hence, it is essential for almost any organization to address these changes. Obviously, players that have information on changes first possibly obtain a strategic advantage over their competitors. This has motivated an increasing number of researchers to enrich and extend classic static clustering algorithms by dynamic derivatives. In the past decades, very promising approaches have been suggested; some selected ones will be introduced in this review. © 2012 Wiley Periodicals, Inc

Different Farming Systems Concerning Soil Health and Yield of Arecanut and Black Pepper

We conducted two year (2020 and 2021) field experiment in the farmer’s field at Hanagal, Sirsi, Karnataka to study the impacts of different farming practices (Recommended package of practice; (RPP), Organic farming, Natural farming and Chemical farming) on rhizosphere microflora, soil nutrient status and yield of arecanut and black pepper. The results revealed that, soil pH and electrical conductivity did not vary significantly due to different farming systems. Whereas, the significantly (p&lt;0.05) highest soil organic carbon content was in organic farming (0.74%) which was on par with natural farming (0.66%) and least in chemical farming (0.71%). The highest available nitrogen (258.31 kg ha-1), phosphorus (39.06 kg ha-1) and potassium (205.47 kg ha-1) were in RPP. Whereas the highest secondary nutrients and micronutrients content were in organic and natural faming. The lowest of all these nutrients were recorded in chemical farming at the harvest stage of arecanut. Soil microflora, dehydrogenase and phosphatase activity in the arecanut and black pepper rhizosphere were significantly (p&lt;0.05) highest in natural farming and lowest in chemical farming. Concerning yield, the significantly highest arecanut (Chali yield 29.35 q.ha-1) and black pepper (dry yield 12.07 q. ha-1) yield was in RPP and maximum net return also observed in RPP (Rs. 10, 62, 500 ha-1)