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“The UW Program for Advanced Cell Therapy (PACT) will use the personalized cell therapy treatment to study its effects on a viral infection faced by around 30-40% of kidney and/or pancreas transplant recipients.
Nearly one in three children is infected with CMV by age 5, according to the Centers for Disease Control and Prevention. It can cause fever, sore throat, fatigue, and swollen glands. For people with stable immune systems, the virus is usually kept in check and doesn't cause symptoms. For transplant patients, their immune system is suppressed and an infection could be fatal.
An article from the Centre for Evidence-Based Medicine (CEBM) was recently published entitled: “Tip for data extraction in meta-analysis – What if the sensitivity or specificity is also not reported”.
Author Kathy Taylor explains “how to deal with the less common case when a sensitivity or specificity is not reported” during data extraction for diagnostic accuracy studies.
Please see the full article for the mathematical explanations and step-by-step instructions. See also the first two articles in the “Tip for data extraction in meta-analysis” series.
JAMA Internal Medicine published findings this month that found when “compared with emergency-only dialysis, scheduled dialysis significantly reduced 1-year mortality, hospitalizations, and costs among undocumented immigrants with end-stage renal disease (ESRD). However, in “40 of 50 US states, scheduled dialysis is withheld from undocumented immigrants with ESRD; instead, they receive intermittent emergency-only dialysis to treat life-threatening manifestations of ESRD’”.
Meta-analysis “is a group of statistical techniques that enable data from more than one study to be combined and analyzed as a new dataset”. As we are inundated with scientific studies of all kinds, meta-analysis can be a useful technique to better understand comparisons of findings from data. However, it can be a confusing technique at first glance, so the author has delved into five tips to better understand the conclusions from meta-analysis.
Google’s launch of Dataset Search on September 5 is a great step forward for researchers in search of data online that is “freely available to use”. Aimed at “scientists, data journalists, data geeks, or anyone else” the new service will provide a service that assists the open-data movement by providing a simpler way to find and re-use data from “government agencies, scientific publishers, research institutions and even individual researchers”.
Electronic laboratory notebooks (ELNS) are increasingly being used by researchers and scientists. “ELNs comprise software that helps researchers to document experiments, and that often has features such as protocol templates, collaboration tools, support for electronic signatures and the ability to manage the lab inventory". As younger individuals, who tend to expect and embrace electronic systems in general, begin to fill research roles, they are electing to use ELNs as well. Though use is growing, as there are currently 72 active ELN products, they are not yet ubiquitous.
If you find yourself asking: “what metrics should [I] think about when looking to publish [my] research in a journal, or when making recommendations to colleagues on which journal to submit work to?”, consider the article entitled Research metrics: Everything you need to know published by the Taylor & Francis Group.
The article provides a unique catalogue of useful articles for guidance and support for researchers, journal editors, and librarians as well as overarching tips for better selecting where to publish your research, how best to edit a journal, and how to guide colleagues as a librarian.