Kiddellison7793

mic Scheimpflug tonometry is able to predict the severity of KC without having the keratometric data.

NCT04251143 at Clinicaltrials.gov, registered at 12 March 2018 (Retrospectively registered).

NCT04251143 at Clinicaltrials.gov, registered at 12 March 2018 (Retrospectively registered).

Intimate partner violence (IPV) is a population health problem linked to a myriad of negative psychological, physical, emotional, sexual and reproductive health outcomes for women. The movement towards working with boys and men over the past couple of decades has increased the number of interventions specifically directed at men who perpetrate violence against a female partner. There is little evidence-based research on key characteristics of effective interventions directed at men to reduce or prevent IPV against female partners. The objective of this systematic review is to identify interventions specifically directed atmales , as the perpetrators of violence against women, that have proven to be effective in preventing or reducing intimate partner violence.

The following electronic databases will be used to search for peer-reviewed studies MEDLINE (OVID), Embase (OVID), PsycInfo (OVID), CINAHL (EBSCO), Global Health (EBSCO), Gender Watch (ProQuest), Web of Science (Web of Knowledge), PROSPERO, Cochraneill be conducted.

This review will provide synthesized evidence on interventions directed atmales to reduce or prevent their perpetration of intimate partner violence against female partners. Implications for practice will include key characteristics of interventions proven to be effective based on evidence synthesis and certainty of findings. Recommendations for further research will also be considered.

This protocol was submitted for registration in the International Prospective Register of Systematic Reviews (PROSPERO) on September 4, 2020.

This protocol was submitted for registration in the International Prospective Register of Systematic Reviews (PROSPERO) on September 4, 2020.

Survival analysis is the most appropriate method of analysis for time-to-event data. The classical accelerated failure-time model is a more powerful and interpretable model than the Cox proportional hazards model, provided that model imposed distribution and homoscedasticity assumptions satisfied. ZEN3694 However, most of the real data are heteroscedastic which violates the fundamental assumption and consequently, the statistical inference could be erroneous in accelerated failure-time modeling. The weighted least-squares estimation for the accelerated failure-time model is an efficient semi-parametric approach for time-to-event data without the homoscedasticity assumption, which is developed recently and not often utilized for real data analysis. Thus, this study was conducted to ascertain the better performance of the weighted least-squares estimation method over the classical methods.

We analyzed a REAL dataset on Antiretroviral Therapy patients we recently collected. We compared the results from classical metn is violated.

The weighted least-squares estimation performed the best in providing more significant effects and precise estimates than the classical accelerated failure-time methods of estimation if data are heteroscedastic. Thus, we recommend future researchers should utilize weighted least-squares estimation rather than the classical methods when the homoscedasticity assumption is violated.Reports of cerebral venous sinus thrombosis and intracranial hemorrhage (ICH) following the administration of coronavirus vaccines have raised concerns regarding their safety. Although no regulatory authority has recognized ICH as an adverse event associated with tozinameran (BNT162b2, Pfizer-BioNTech), fatal and non-fatal cases have been reported. In Japan, 10 fatal cases (five men and women) have been reported to date. Four of the five women died of ICH and the other died of aspiration pneumonia, whereas all five men died of causes other than stroke. This imbalance is incompatible with the mortality data on cardiovascular diseases in the National Statistics, which show no apparent disparity between sexes or between hemorrhagic and ischemic stroke. Cumulatively, our analysis reveals a disproportionately high incidence of death by ICH in Japanese women who received tozinameran, suggesting a potential association of ICH with the vaccine. Although we understand that the benefits of tozinameran still outweigh the risks, we believe that a causal link with the vaccine is not proven but possible and warrants further analysis.

Building a dataset of individual participant data (IPD) for meta-analysis represents considerable research investment as well as collaboration across multiple institutions and researchers. Making arrangements to curate and share the dataset beyond the IPD meta-analysis project for which it was established, for reuse in future research projects, would maximise the value of this investment.

Our aim was to establish the Cochrane repository for individual patient data from clinical trials in pregnancy and childbirth (CRIB) as an example of how an IPD repository could become part of Cochrane infrastructure. We believed that establishing CRIB under Cochrane auspices would engender trust and encourage trial investigators to share data, and at the same time position Cochrane to take steps towards expanding the number of reviews with IPD synthesis.

CRIB was designed as a web-based platform to receive, host and facilitate onward sharing of de-identified data. Development was not straightforward and we did not fully achieve our aim as intended. We describe the challenges encountered and suggest ways that future repositories might overcome these. In particular, securing the legal agreements required to facilitate data sharing proved to be the main barrier, being time-consuming and more complex than anticipated.

We would recommend that researchers conducting IPD meta-analysis should consider discussing the option to transfer the curated IPD datasets to a repository at the end of the initial meta-analysis and this should be recognised within the data sharing agreements made with the original data contributors.

We would recommend that researchers conducting IPD meta-analysis should consider discussing the option to transfer the curated IPD datasets to a repository at the end of the initial meta-analysis and this should be recognised within the data sharing agreements made with the original data contributors.