A critical systematic review and meta-analyses of risk factors for fertility problems in a globalized world

Globally fertility awareness efforts include well-established risk factors (RFs) for fertility-problems. However, risks disproportionately affecting females in the Global South are neglected. To address this gap, we conducted systematic reviews and meta-analysis of relevant RFs, to examine association between RFs and fertility-problems. We searched Medline, Embase, Cochrane library, regional databases and key organizational websites. Three authors screened and extracted data independently. We included studies assessing exposure to risk (clinical, community-based samples) and excluded studies without control groups. Outcome of interest was fertility-problems (inability to achieve pregnancy, live-birth, neonatal death). Newcastle-Ottawa Scale used to assess study quality. We identified 3843 studies, and included 62 (58 in meta-analyses, 115,810 patients). Results revealed nine-fold risk of inability to become pregnant in genital-tuberculosis (OR=8.91, CI=1.89-42.12), almost threefold in HIV (OR=2.93, CI=1.95-4.42) and bacterial-vaginosis (OR=2.81, CI=1.85-4.27). Twofold risk of tubal-factor infertility in Female Genital Mutilation/Cutting–Type II/III (OR=2.06, CI=1.03-4.15) and post-natal mortality in consanguinity (stillbirth, OR=1.28, CI=1.04-1.57; neonatal death, OR=1.57, CI=1.22-2.02). It appears RFs impacted reproductive processes through multiple pathways. Health promotion encompassing relevant health indicators could enhance prevention and early detection of fertility-problems in the Global South and disproportionately affected populations. The multifactorial risk-profile reinforces the need to place fertility within global health initiatives

Preoperative Risk-Stratification of High-Risk Prostate Cancer: A Multicenter Analysis

Background: Cancer-specific survival (CSS) within high-risk non-metastatic prostate cancer varies dramatically. It is likely that within this heterogenous population there are subgroup(s) at extraordinary risk, burdened with an exaptational poor prognosis. Establishing the characteristics of these group(s) would have significant clinical implications since high quality preoperative risk stratification remains the cornerstone of therapeutic decision making to date. Objective: To stratify high-risk prostate cancer based on preoperative characteristics and evaluate cancer specific survival after radical prostatectomy. Method: The EMPaCT multi-center database offers an international population of non-metastatic high-risk prostate cancer. Preoperative characteristics such as age, biopsy Gleason score, PSA and clinical stage were subcategorized. A multivariate analysis was performed using predictors showing significant survival heterogeneity after stratification, as observed by a univariate analysis. Based upon the hazard ratios of this multivariate analysis, a proportional score system was created. The most ideal group distribution was evaluated trough different score cut-off's. The predictive value was tested by the herald C index. Results: An overall 5-years CSS of 94% was noted within the entire high-risk cohort (n = 4,879). Except for age, all preoperative risk factors showed a significantly differing CSS. Multivariate analysis indicated, T4 stage as being the strongest predictor of CSS (HR: 3.31), followed by ISUP grade 5 group (HR 3,05). A score system was created by doubling the hazard ratios of this multivariate analysis and rounding off to the nearest complete number. Multivariate analysis suggested 0, 4, 8, and 12 pts as being the most optimal group distribution (p-value: 0.0015). Five-years CSS of these groups were 97, 93, 87, and 70%, respectively. The calculated Herald C-index of the model was 0.77. Conclusion: An easy-to-use pre-operative model for risk stratification of newly diagnosed high-risk prostate cancer is presented. The heterogeneous CSS of high-risk non-metastatic prostate cancer after radical prostatectomy is illustrated. The model is clinically accessible through an online calculator, presenting cancer specific survival based on individualized patient characteristics

A genetic variation map for chicken with 2.8 million single-nucleotide polymorphisms

We describe a genetic variation map for the chicken genome containing 2.8 million single-nucleotide polymorphisms ( SNPs). This map is based on a comparison of the sequences of three domestic chicken breeds ( a broiler, a layer and a Chinese silkie) with that of their wild ancestor, red jungle fowl. Subsequent experiments indicate that at least 90% of the variant sites are true SNPs, and at least 70% are common SNPs that segregate in many domestic breeds. Mean nucleotide diversity is about five SNPs per kilobase for almost every possible comparison between red jungle fowl and domestic lines, between two different domestic lines, and within domestic lines - in contrast to the notion that domestic animals are highly inbred relative to their wild ancestors. In fact, most of the SNPs originated before domestication, and there is little evidence of selective sweeps for adaptive alleles on length scales greater than 100 kilobases

Benefits and Risks of Primary Treatments for High-risk Localized and Locally Advanced Prostate Cancer : An International Multidisciplinary Systematic Review

Copyright © 2020 European Association of Urology. Published by Elsevier B.V. All rights reserved.Peer reviewedPostprin

Systematic Review of Active Surveillance for Clinically Localised Prostate Cancer to Develop Recommendations Regarding Inclusion of Intermediate-risk Disease, Biopsy Characteristics at Inclusion and Monitoring, and Surveillance Repeat Biopsy Strategy

none38siContext: There is uncertainty regarding the most appropriate criteria for recruitment, monitoring, and reclassification in active surveillance (AS) protocols for localised prostate cancer (PCa). Objective: To perform a qualitative systematic review (SR) to issue recommendations regarding inclusion of intermediate-risk disease, biopsy characteristics at inclusion and monitoring, and repeat biopsy strategy. Evidence acquisition: A protocol-driven, Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA)-adhering SR incorporating AS protocols published from January 1990 to October 2020 was performed. The main outcomes were criteria for inclusion of intermediate-risk disease, monitoring, reclassification, and repeat biopsy strategies (per protocol and/or triggered). Clinical effectiveness data were not assessed. Evidence synthesis: Of the 17 011 articles identified, 333 studies incorporating 375 AS protocols, recruiting 264 852 patients, were included. Only a minority of protocols included the use of magnetic resonance imaging (MRI) for recruitment (n = 17), follow-up (n = 47), and reclassification (n = 26). More than 50% of protocols included patients with intermediate or high-risk disease, whilst 44.1% of protocols excluded low-risk patients with more than three positive cores, and 39% of protocols excluded patients with core involvement (CI) >50% per core. Of the protocols, ≥80% mandated a confirmatory transrectal ultrasound biopsy; 72% (n = 189) of protocols mandated per-protocol repeat biopsies, with 20% performing this annually and 25% every 2 yr. Only 27 protocols (10.3%) mandated triggered biopsies, with 74% of these protocols defining progression or changes on MRI as triggers for repeat biopsy. Conclusions: For AS protocols in which the use of MRI is not mandatory or absent, we recommend the following: (1) AS can be considered in patients with low-volume International Society of Urological Pathology (ISUP) grade 2 (three or fewer positive cores and cancer involvement ≤50% CI per core) or another single element of intermediate-risk disease, and patients with ISUP 3 should be excluded; (2) per-protocol confirmatory prostate biopsies should be performed within 2 yr, and per-protocol surveillance repeat biopsies should be performed at least once every 3 yr for the first 10 yr; and (3) for patients with low-volume, low-risk disease at recruitment, if repeat systematic biopsies reveal more than three positive cores or maximum CI >50% per core, they should be monitored closely for evidence of adverse features (eg, upgrading); patients with ISUP 2 disease with increased core positivity and/or CI to similar thresholds should be reclassified. Patient summary: We examined the literature to issue new recommendations on active surveillance (AS) for managing localised prostate cancer. The recommendations include setting criteria for including men with more aggressive disease (intermediate-risk disease), setting thresholds for close monitoring of men with low-risk but more extensive disease, and determining when to perform repeat biopsies (within 2 yr and 3 yearly thereafter).noneWillemse, Peter-Paul M; Davis, Niall F; Grivas, Nikolaos; Zattoni, Fabio; Lardas, Michael; Briers, Erik; Cumberbatch, Marcus G; De Santis, Maria; Dell'Oglio, Paolo; Donaldson, James F; Fossati, Nicola; Gandaglia, Giorgio; Gillessen, Silke; Grummet, Jeremy P; Henry, Ann M; Liew, Matthew; MacLennan, Steven; Mason, Malcolm D; Moris, Lisa; Plass, Karin; O'Hanlon, Shane; Omar, Muhammad Imran; Oprea-Lager, Daniela E; Pang, Karl H; Paterson, Catherine C; Ploussard, Guillaume; Rouvière, Olivier; Schoots, Ivo G; Tilki, Derya; van den Bergh, Roderick C N; Van den Broeck, Thomas; van der Kwast, Theodorus H; van der Poel, Henk G; Wiegel, Thomas; Yuan, Cathy Yuhong; Cornford, Philip; Mottet, Nicolas; Lam, Thomas B LWillemse, Peter-Paul M; Davis, Niall F; Grivas, Nikolaos; Zattoni, Fabio; Lardas, Michael; Briers, Erik; Cumberbatch, Marcus G; De Santis, Maria; Dell'Oglio, Paolo; Donaldson, James F; Fossati, Nicola; Gandaglia, Giorgio; Gillessen, Silke; Grummet, Jeremy P; Henry, Ann M; Liew, Matthew; Maclennan, Steven; Mason, Malcolm D; Moris, Lisa; Plass, Karin; O'Hanlon, Shane; Omar, Muhammad Imran; Oprea-Lager, Daniela E; Pang, Karl H; Paterson, Catherine C; Ploussard, Guillaume; Rouvière, Olivier; Schoots, Ivo G; Tilki, Derya; van den Bergh, Roderick C N; Van den Broeck, Thomas; van der Kwast, Theodorus H; van der Poel, Henk G; Wiegel, Thomas; Yuan, Cathy Yuhong; Cornford, Philip; Mottet, Nicolas; Lam, Thomas B

Multi-host disease management: the why and the how to include wildlife

<p>In recent years, outbreaks caused by multi-host pathogens (MHP) have posed a serious challenge to public and animal health authorities. The frequent implication of wildlife in such disease systems and a lack of guidelines for mitigating these diseases within wild animal populations partially explain why the outbreaks are particularly challenging. To face these challenges, the French Ministry of Agriculture launched a multi-disciplinary group of experts that set out to discuss the main wildlife specific concepts in the management of MHP disease outbreaks and how to integrate wildlife in the disease management process. This position paper structures the primary specific concepts of wildlife disease management, as identified by the working group. It is designed to lay out these concepts for a wide audience of public and/or animal health officers who are not necessarily familiar with wildlife diseases. The group's discussions generated a possible roadmap for the management of MHP diseases. This roadmap is presented as a cycle for which the main successive step are: step 1-descriptive studies and monitoring; step 2-risk assessment; step 3-management goals; step 4-management actions and step 5-assessment of the management plan. In order to help choose the most adapted management actions for all involved epidemiological units, we integrated a decision-making framework (presented as a spreadsheet). This tool and the corresponding guidelines for disease management are designed to be used by public and health authorities when facing MHP disease outbreaks. These proposals are meant as an initial step towards a harmonized transboundary outbreak response framework that integrates current scientific understanding adapted to practical intervention.</p

Erratum: Corrigendum: Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution

International Chicken Genome Sequencing Consortium. The Original Article was published on 09 December 2004. Nature432, 695–716 (2004). In Table 5 of this Article, the last four values listed in the ‘Copy number’ column were incorrect. These should be: LTR elements, 30,000; DNA transposons, 20,000; simple repeats, 140,000; and satellites, 4,000. These errors do not affect any of the conclusions in our paper. Additional information. The online version of the original article can be found at 10.1038/nature0315

Predicting donation behavior : acquisition modeling in the nonprofit sector using Facebook data

The purpose of this study is to demonstrate the value of Facebook data in predicting first-time donation behavior. More specifically, we provide evidence that Facebook data can be used as a valuable data source for nonprofit organizations in acquiring new donors. To do so, we evaluate three different dimensionality reduction techniques (i.e., singular value decomposition, non-negative matrix factorization, and latent Dirichlet allocation) over seven classification techniques (i.e., logistic regression, k-nearest neighbors, bagged trees, random forest, adaboost, extreme gradient boosting, and artificial neural networks) using five times twofold cross-validation. Next, we assess what type of Facebook data and which predictors are most important. The results indicate that we can predict first-time donation behavior based on Facebook data with high predictive performance. Our benchmark indicates that the combination of singular value decomposition and logistic regression outperforms all other analytical methodologies with an area under the receiver operating characteristic of 0.72 and a top decile lift of 3.33. The results show that Facebook pages and categories of Facebook pages are the most important data types. The most important predictors are dimensions related to age, education, residence, materialism, responsible consumption, and interest in nonprofits. The presented acquisition models can be used by nonprofit organizations to implement a one-to-one targeted marketing campaign towards Facebook fans. To the best of our knowledge, our study is the first to determine the predictive value of Facebook data for nonprofits in a real-life acquisition context