Systematic review of the empirical evidence of study publication bias and outcome reporting bias - an updated review.

BACKGROUND: The increased use of meta-analysis in systematic reviews of healthcare interventions has highlighted several types of bias that can arise during the completion of a randomised controlled trial. Study publication bias and outcome reporting bias have been recognised as a potential threat to the validity of meta-analysis and can make the readily available evidence unreliable for decision making. METHODOLOGY/PRINCIPAL FINDINGS: In this update, we review and summarise the evidence from cohort studies that have assessed study publication bias or outcome reporting bias in randomised controlled trials. Twenty studies were eligible of which four were newly identified in this update. Only two followed the cohort all the way through from protocol approval to information regarding publication of outcomes. Fifteen of the studies investigated study publication bias and five investigated outcome reporting bias. Three studies have found that statistically significant outcomes had a higher odds of being fully reported compared to non-significant outcomes (range of odds ratios: 2.2 to 4.7). In comparing trial publications to protocols, we found that 40-62% of studies had at least one primary outcome that was changed, introduced, or omitted. We decided not to undertake meta-analysis due to the differences between studies. CONCLUSIONS: This update does not change the conclusions of the review in which 16 studies were included. Direct empirical evidence for the existence of study publication bias and outcome reporting bias is shown. There is strong evidence of an association between significant results and publication; studies that report positive or significant results are more likely to be published and outcomes that are statistically significant have higher odds of being fully reported. Publications have been found to be inconsistent with their protocols. Researchers need to be aware of the problems of both types of bias and efforts should be concentrated on improving the reporting of trials.

Parental post-traumatic reactions after premature birth: implications for sleeping and eating problems in the infant.

BACKGROUND: Progress in perinatal medicine has made it possible to increase the survival of very or extremely low birthweight infants. Developmental outcomes of surviving preterm infants have been analysed at the paediatric, neurological, cognitive, and behavioural levels, and a series of perinatal and environmental risk factors have been identified. The threat to the child's survival and invasive medical procedures can be very traumatic for the parents. Few empirical reports have considered post-traumatic stress reactions of the parents as a possible variable affecting a child's outcome. Some studies have described sleeping and eating problems as related to prematurity; these problems are especially critical for the parents. OBJECTIVE: To examine the effects of post-traumatic reactions of the parents on sleeping and eating problems of the children. DESIGN: Fifty families with a premature infant (25-33 gestation weeks) and a control group of 25 families with a full term infant participated in the study. Perinatal risks were evaluated during the hospital stay. Mothers and fathers were interviewed when their children were 18 months old about the child's problems and filled in a perinatal post-traumatic stress disorder questionnaire (PPQ). RESULTS: The severity of the perinatal risks only partly predicts a child's problems. Independently of the perinatal risks, the intensity of the post-traumatic reactions of the parents is an important predictor of these problems. CONCLUSIONS: These findings suggest that the parental response to premature birth mediates the risks of later adverse outcomes. Preventive intervention should be promoted.

Localization and characterization of an active fault in an urbanized area in central Guatemala by means of geoelectrical imaging

The Polochic and Motagua faults define the active plate boundary between the North American and Caribbean plates in central Guatemala. A splay of the Polochic Fault traverses the rapidly growing city of San Miguel Uspantan that is periodically affected by destructive earthquakes. This fault splay was located using a 2D electrical resistivity tomography (ERT) survey that also characterized the fault damage zone and evaluated the thickness and nature of recent deposits upon which most of the city is built. ERT images show the fault as a similar to 50 m wide, near-vertical low-resistivity anomaly, bounded within a few meters by high resistivity anomalies. Forward modeling reproduces the key aspects of the observed electrical resistivity data with remarkable fidelity thus defining the overall location, geometry, and internal structure of the fault zone as well as the affected lithologies. Our results indicate that the city is constructed on a similar to 20 m thick surficial layer consisting of poorly consolidated, highly porous, water-logged pumice. This soft layer is likely to amplify seismic waves and to liquefy upon moderate to strong ground shaking. The electrical conductivity as well as the major element chemistry of the groundwater provides evidence to suggest that the local aquifer might, at least in part, be fed by water rising along the fault. Therefore, the potential threat posed by this fault splay may not be limited to its seismic activity per se, but could be compounded its potential propensity to enhance seismic site effects by injecting water into the soft surficial sediments. The results of this study provide the basis for a rigorous analysis of seismic hazard and sustainable development of San Miguel Uspantan and illustrate the potential of ERT surveying for paleoseismic studies.

Rate, type, and cost of adverse drug reactions in emergency department admissions.

Background: Adverse drug reactions (ADRs) are a threat to patients' health and quality of life, and can generate significant expenses. They are generally underreported, with different rates in different health care systems. Methods: We conducted a 6-month survey of all primary admissions to the medical emergency department of a university hospital and assessed the rate, characteristics, avoidability, and marginal costs of ADRs. Results: A total of 7% of all admissions were mainly caused by ADRs. The most frequent were gastrointestinal bleeding (22.3%) and febrile neutropenia (14.4%). Anticancer drugs were involved in 22.7% of the cases, and anticoagulants, analgesics, and non-steroidal anti-inflammatory drugs in 8% each. Physicians had prescribed 70% of these drugs. Patients were predominantly treated in intermediate care units and ordinary wards. The mean cost per case amounted to CHF 3586+/-342, or a total of CHF 821204 over the 6-month-period (1 CHF=0.56 US$=0.87 Euro). A total of 67% were considered definitely imputable to drug effects and 32% were retrospectively regarded as avoidable. Conclusions: Interventions aimed at reducing the incidence of ADRs should be directed towards both patient education and physician training. This could save hospitals admissions and money, and could be used as an indicator of prescription quality.

Emotion, Affect, Sentiment: The Language and Aesthetics of Feeling

Bringing together experts from linguistics, medieval and modern literary studies, this volume offers a transhistorical look at the language and cultural work of emotion in a variety of written, oral and visual texts. Contributors engage with the recent so-called affective turn, but also examine the language and use of emotion from a variety of perspectives, touching on issues such as Romantic and Modernist aesthetics, the history of emotions, melodramatic and the Gothic, reception aesthetics, rudeness, and medicine.

Treatment and timing in invasive mould disease.

Invasive mould disease is a growing threat for immunocompromised patients. The optimum time to use mould-active antifungal agents is much debated. Current approaches to antifungal prophylaxis, early treatment (empirical and pre-emptive therapy) and treatment of documented mould infections in onco-haematology patients are discussed.

Public perceptions of collectives at the outbreak of the H1N1 epidemic: Heroes, villains and victims

Lay perceptions of collectives (e.g., groups, organizations, countries) implicated in the 2009 H1N1 outbreak were studied. Collectives serve symbolic functions to help laypersons make sense of the uncertainty involved in a disease outbreak. We argue that lay representations are dramatized, featuring characters like heroes, villains and victims. In interviews conducted soon after the outbreak, 47 Swiss respondents discussed the risk posed by H1N1, its origins and effects, and protective measures. Countries were the most frequent collectives mentioned. Poor, underdeveloped countries were depicted as victims, albeit ambivalently, as they were viewed as partly responsible for their own plight. Experts (physicians, researchers) and political and health authorities were depicted as heroes. Two villains emerged: the media (viewed as fear mongering or as a puppet serving powerful interests) and private corporations (e.g., the pharmaceutical industry). Laypersons' framing of disease threat diverges substantially from official perspectives.

Immune activation alters cellular and humoral responses to yellow fever 17D vaccine.

Background. Defining the parameters that modulate vaccine responses in African populations will be imperative to design effective vaccines for protection against HIV, malaria, tuberculosis, and dengue virus infections. This study aimed to evaluate the contribution of the patient-specific immune microenvironment to the response to the licensed yellow fever vaccine 17D (YF-17D) in an African cohort. Methods. We compared responses to YF-17D in 50 volunteers in Entebbe, Uganda, and 50 volunteers in Lausanne, Switzerland. We measured the CD8+ T cell and B cell responses induced by YF-17D and correlated them with immune parameters analyzed by flow cytometry prior to vaccination. Results. We showed that YF-17D-induced CD8+ T cell and B cell responses were substantially lower in immunized individuals from Entebbe compared with immunized individuals from Lausanne. The impaired vaccine response in the Entebbe cohort associated with reduced YF-17D replication. Prior to vaccination, we observed higher frequencies of exhausted and activated NK cells, differentiated T and B cell subsets and proinflammatory monocytes, suggesting an activated immune microenvironment in the Entebbe volunteers. Interestingly, activation of CD8+ T cells and B cells as well as proinflammatory monocytes at baseline negatively correlated with YF-17D-neutralizing antibody titers after vaccination. Additionally, memory T and B cell responses in preimmunized volunteers exhibited reduced persistence in the Entebbe cohort but were boosted by a second vaccination. Conclusion. Together, these results demonstrate that an activated immune microenvironment prior to vaccination impedes efficacy of the YF-17D vaccine in an African cohort and suggest that vaccine regimens may need to be boosted in African populations to achieve efficient immunity. Trial registration. Registration is not required for observational studies. Funding. This study was funded by Canada's Global Health Research Initiative, Defense Threat Reduction Agency, National Institute of Allergy and Infectious Diseases, Bill & Melinda Gates Foundation, and United States Agency for International Development.

Managing the crises : How do Swiss municipalities react to the crisis and what explains the differences ?

Swiss municipalities are to an import ant extent responsible for their own resources. Since these resources primarily depend on income and property tax from individuals and enterprises, their budgets are likely to be directly affected by the actual crisis of the financial sector and the economy. This paper investigates how the municipalities perceive this threat and how they reacted to it or plan to do so. In a nationwide survey conducted at the end of 2009 in all 2596 Swiss municipalities, we asked the local secretaries which measures they launch in order to cope with expected losses in tax income and a possible increase of welfare spending. Do the municipalities rather rely on Keynesian measures increasing public spending and accepting greater deficits, or do they try to avoid further deficits by austerity measures and a withdrawal of planned investments? The paper shows that only a few municipalities - mainly the bigger ones - expect to be strongly hit by the crisis. Their reactions, however, do not reveal the clear patterns theory lets to expect. Preferences for austerity measures and deficit spending become visible but many municipalities take measures from both theories. The strongest explaining factor whether municipalities react is the affectedness by the crisis followed by the fact that the municipality belongs to the French speaking part of the country. Size also has an effect whereas the strength of the Social Democrats is negligible. More difficult is it, to explain what kind of measures municipalities are likely to take.

Sub-inhibitory concentrations of vancomycin prevent quinolone-resistance in a penicillin-resistant isolate of Streptococcus pneumoniae.

BACKGROUND: The continuous spread of penicillin-resistant pneumococci represents a permanent threat in the treatment of pneumococcal infections, especially when strains show additional resistance to quinolones. The main objective of this study was to determine a treatment modality impeding the emergence of quinolone resistance. RESULTS: Exposure of a penicillin-resistant pneumococcus to increasing concentrations of trovafloxacin or ciprofloxacin selected for mutants resistant to these drugs. In the presence of sub-inhibitory concentrations of vancomycin, development of trovafloxacin-resistance and high-level ciprofloxacin-resistance were prevented. CONCLUSIONS: Considering the risk of quinolone-resistance in pneumococci, the observation might be of clinical importance.

Foster carers influence brood pathogen resistance in ants.

Social organisms face a high risk of epidemics, and respond to this threat by combining efficient individual and collective defences against pathogens. An intriguing and little studied feature of social animals is that individual pathogen resistance may depend not only on genetic or maternal factors, but also on the social environment during development. Here, we used a cross-fostering experiment to investigate whether the pathogen resistance of individual ant workers was shaped by their own colony of origin or by the colony of origin of their carers. The origin of care-giving workers significantly influenced the ability of newly eclosed cross-fostered Formica selysi workers to resist the fungal entomopathogen Beauveria bassiana. In particular, carers that were more resistant to the fungal entomopathogen reared more resistant workers. This effect occurred in the absence of post-infection social interactions, such as trophallaxis and allogrooming. The colony of origin of eggs significantly influenced the survival of the resulting individuals in both control and pathogen treatments. There was no significant effect of the social organization (i.e. whether colonies contain a single or multiple queens) of the colony of origin of either carers or eggs. Our experiment reveals that social interactions during development play a central role in moulding the resistance of emerging workers.

Molecular insights into T cell activation : study of the TRAF, Bcl10 and Carma 1 proteins

Abstract : Activation of naïve T lymphocytes is essential for the onset of an adaptive immune response against a pathogenic threat. T lymphocytes are activated through the engagement of their highly specific cell surface antigen-receptor (TCR), together with co-stimulatory receptors, by activated antigen-presenting cells that display antigenic peptide fragments from the pathogen that they have detected. Dissection of the mechanisms that modulate TCR- and co-stimulation- induced signals is therefore crucial for the understanding of the molelcular basis of adaptive immune responses. Following antigen-receptor triggering, the Carma1, Bcl10 and Malt1 (CBM) proteins assemble into an oligomeric complex, which is essential for activation of the NF-κB and JNK signaling pathways in lymphocytes. In this work, by using human epithelial and lymphocytic cell lines, we identified the TNF-receptor-associated factor (TRAF) proteins TRAF3 and TRAF7 as new binding partners of Bcl10 and Carma1, respectively. We could show that TRAF3 is required for the proper transcriptional upregulation of IL-2 in activated T cells, and that endogenous TRAF3 is recruited to Bcl10 following TCR engagement. Although the mechanisms used by TRAF3 to modulate the transcriptional activation of the IL-2 promoter are not elucidated, the stimulus-dependent association ofTRAF3 with its direct binding partner Bcl10 suggests that TRAF3 is regulating Bcl10 function in TCR-activated lymphocytes. We also demonstrated that TRAF7 acts as a negative regulator of Carma1-induced NFκB-and AP1-dependent transcription by overexpression in 293T cells. These data suggest that TRAF7 could contribute to the negative regulation of TCR-dependent Carma1 functions. Finally, we showed that Carma1 is processed upon antigen-receptor triggering in B and T cell lines, as well as in primary human CTLs, and that this processing is dependent on the proteolytic activity of Malt1. Collectively, this work contributes to describe new proteins and regulatory mechanisms that modulate CBM-dependent functions in activated lymphocytes. Furthermore, it uncovers new tracks that could lead to a better molecular understanding of the complex interplay between the activatory and inhibitory regulators associated with the CBM complex. Résumé : L'activation des lymphocytes T naifs est une étape essentielle à la mise en place d'une réponse immunitaire adaptative pour combattre une infection. Après la détection d'un pathogène, les cellules présentatrices d'antigènes exposent à leur surface des fragments peptidiques provenant du pathogène, qui activent le récepteur à antigène (TCR) spécifique des lymphocytes T, ainsi que des molécules co-stimulatrices qui contribuent à l'activation complète des lymphocytes T. La caractérisation des mécanismes qui modulent les cascades de signaux émanant du TCR et des récepteurs de co-stimulation est essentielle à la compréhension du fonctionnement moléculaire de la réponse immunitaire adaptative. La ligation du TCR induit la formation d'un complexe oligomérique comprenant les protéines Carma1, Bcl10 et Malt1, qui est essentiel à l'activation des voies de signalisation cellulaires NF-κB et JNK induisant l'activation complète des lymphorctes T. Dans cette étude, à l'aide de lignées de cellules humaines épithéliales et lymphocytaires, nous avons identifié que deux protéines de la famille des TRAF (Tumor Necrosis Factor Receptor-Associated Factor), TRAF3 et TRAF7, s'associent à Bc110 et à Carma1, respectivement. Les TRAFs sont d'importants régulateurs des voies de signalisation dans les cellules du système immunitaire inné et adaptatif. Nous avons démontré que TRAF3 était important pour permettre la transcription de l'interleukine-2 (IL-2) dans les lymphocytes T activés, et que TRAF3 s'associait à Bc110 à la suite de la stimulation du TCR Les mécanismes que TRAF3 utilise pour moduler l'activation du promoteur de l'IL-2 ne sont pas connus, mais l'association de TRAF3 à Bc110 suite à la stimulation du TCR suggère que TRAF3 régule la fonction de Bc110. Nous avons également identifié TRAF7 comme un nouveau régulateur négatif des voies NF-κB et JNK induites par surexpression de la protéine Carma1. Nos données suggèrent que TRAF7 pourrait également contribuer à la régulation négative de la fonction de Carma1 dans les lymphocytes activés. Enfin, nous avons découvert que Carma1 était clivé suite à la stimulation du TCR, et que ce clivage dépendait de l'activité protéolytique de Malt1. Cette étude contribue ainsi à la description de nouvelles protéines et de nouveaux mécanismes qui modulent l'activité du complexe CBM dans les lymphocytes activés, et ouvre la voie à la caractérisation moléculaire de ces nouveaux mécanismes importants pour la régulation de la réponse immunitaire adaptative.

Using register data to assess the impact of response enhancement methods on the risk of nonresponse bias and survey costs

The pursuit of high response rates to minimise the threat of nonresponse bias continues to dominate decisions about resource allocation in survey research. Yet a growing body of research has begun to question this practice. In this study, we use previously unavailable data from a new sampling frame based on population registers to assess the value of different methods designed to increase response rates on the European Social Survey in Switzerland. Using sampling data provides information about both respondents and nonrespondents, making it possible to examine how changes in response rates resulting from the use of different fieldwork methods relate to changes in the composition and representativeness of the responding sample. We compute an R-indicator to assess representativity with respect to the sampling register variables, and find little improvement in the sample composition as response rates increase. We then examine the impact of response rate increases on the risk of nonresponse bias based on Maximal Absolute Bias (MAB), and coefficients of variation between subgroup response rates, alongside the associated costs of different types of fieldwork effort. The results show that increases in response rate help to reduce MAB, while only small but important improvements to sample representativity are gained by varying the type of effort. These findings lend further support to research that has called into question the value of extensive investment in procedures aimed at reaching response rate targets and the need for more tailored fieldwork strategies aimed both at reducing survey costs and minimising the risk of bias.

Analysis and spatial modeling of the indoor radon Swiss data

The present research deals with an important public health threat, which is the pollution created by radon gas accumulation inside dwellings. The spatial modeling of indoor radon in Switzerland is particularly complex and challenging because of many influencing factors that should be taken into account. Indoor radon data analysis must be addressed from both a statistical and a spatial point of view. As a multivariate process, it was important at first to define the influence of each factor. In particular, it was important to define the influence of geology as being closely associated to indoor radon. This association was indeed observed for the Swiss data but not probed to be the sole determinant for the spatial modeling. The statistical analysis of data, both at univariate and multivariate level, was followed by an exploratory spatial analysis. Many tools proposed in the literature were tested and adapted, including fractality, declustering and moving windows methods. The use of Quan-tité Morisita Index (QMI) as a procedure to evaluate data clustering in function of the radon level was proposed. The existing methods of declustering were revised and applied in an attempt to approach the global histogram parameters. The exploratory phase comes along with the definition of multiple scales of interest for indoor radon mapping in Switzerland. The analysis was done with a top-to-down resolution approach, from regional to local lev¬els in order to find the appropriate scales for modeling. In this sense, data partition was optimized in order to cope with stationary conditions of geostatistical models. Common methods of spatial modeling such as Κ Nearest Neighbors (KNN), variography and General Regression Neural Networks (GRNN) were proposed as exploratory tools. In the following section, different spatial interpolation methods were applied for a par-ticular dataset. A bottom to top method complexity approach was adopted and the results were analyzed together in order to find common definitions of continuity and neighborhood parameters. Additionally, a data filter based on cross-validation was tested with the purpose of reducing noise at local scale (the CVMF). At the end of the chapter, a series of test for data consistency and methods robustness were performed. This lead to conclude about the importance of data splitting and the limitation of generalization methods for reproducing statistical distributions. The last section was dedicated to modeling methods with probabilistic interpretations. Data transformation and simulations thus allowed the use of multigaussian models and helped take the indoor radon pollution data uncertainty into consideration. The catego-rization transform was presented as a solution for extreme values modeling through clas-sification. Simulation scenarios were proposed, including an alternative proposal for the reproduction of the global histogram based on the sampling domain. The sequential Gaussian simulation (SGS) was presented as the method giving the most complete information, while classification performed in a more robust way. An error measure was defined in relation to the decision function for data classification hardening. Within the classification methods, probabilistic neural networks (PNN) show to be better adapted for modeling of high threshold categorization and for automation. Support vector machines (SVM) on the contrary performed well under balanced category conditions. In general, it was concluded that a particular prediction or estimation method is not better under all conditions of scale and neighborhood definitions. Simulations should be the basis, while other methods can provide complementary information to accomplish an efficient indoor radon decision making.