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Statistics and Nephrology

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191 papers 100 to 500 followers
By Isabel Acosta-Ochoa Nephrology senior staff. Valladolid. Spain
https://www.readbyqxmd.com/read/27896874/five-myths-about-variable-selection
#1
REVIEW
Georg Heinze, Daniela Dunkler
Multivariable regression models are often used in transplantation research to identify or to confirm baseline variables which have an independent association, causally or only evidenced by statistical correlation, with transplantation outcome. Although sound theory is lacking, variable selection is a popular statistical method which seemingly reduces the complexity of such models. However, in fact, variable selection often complicates analysis as it invalidates common tools of statistical inference such as p-values and confidence intervals...
November 29, 2016: Transplant International: Official Journal of the European Society for Organ Transplantation
https://www.readbyqxmd.com/read/27806239/first-in-human-clinical-trials-what-we-can-learn-from-tragic-failures
#2
EDITORIAL
Sergio Bonini, Guido Rasi
On January 10, 2016, a healthy volunteer who had received 50 mg per day of a fatty acid amide hydrolase (FAAH) inhibitor for 5 days as part of a first-in-human phase 1 clinical trial was admitted to Rennes University Hospital with neurologic and gait disturbances. After a dramatic worsening of..
November 3, 2016: New England Journal of Medicine
https://www.readbyqxmd.com/read/27802529/confounding-by-indication-in-clinical-research
#3
COMMENT
Demetrios N Kyriacou, Roger J Lewis
No abstract text is available yet for this article.
November 1, 2016: JAMA: the Journal of the American Medical Association
https://www.readbyqxmd.com/read/27537845/the-national-library-of-medicine-accelerating-discovery-delivering-information-improving-health
#4
Patricia Flatley Brennan
No abstract text is available yet for this article.
December 6, 2016: Annals of Internal Medicine
https://www.readbyqxmd.com/read/27662077/the-value-of-p
#5
EDITORIAL
Sue Pondrom
No abstract text is available yet for this article.
October 2016: American Journal of Transplantation
https://www.readbyqxmd.com/read/27664473/distinguishing-the-signals-from-the-noise-can-epidemiologic-studies-inform-our-understanding-of-glomerular-disease
#6
EDITORIAL
Michelle M O'Shaughnessy, Susan L Hogan
No abstract text is available yet for this article.
October 2016: American Journal of Kidney Diseases: the Official Journal of the National Kidney Foundation
https://www.readbyqxmd.com/read/27660302/statistical-methods-for-cohort-studies-of-ckd-prediction-modeling
#7
Jason Roy, Haochang Shou, Dawei Xie, Jesse Y Hsu, Wei Yang, Amanda H Anderson, J Richard Landis, Christopher Jepson, Jiang He, Kathleen D Liu, Chi-Yuan Hsu, Harold I Feldman
Prediction models are often developed in and applied to CKD populations. These models can be used to inform patients and clinicians about the potential risks of disease development or progression. With increasing availability of large datasets from CKD cohorts, there is opportunity to develop better prediction models that will lead to more informed treatment decisions. It is important that prediction modeling be done using appropriate statistical methods to achieve the highest accuracy, while avoiding overfitting and poor calibration...
September 22, 2016: Clinical Journal of the American Society of Nephrology: CJASN
https://www.readbyqxmd.com/read/27636028/toward-a-new-era-of-trust-and-transparency-in-clinical-trials
#8
Kathy L Hudson, Michael S Lauer, Francis S Collins
No abstract text is available yet for this article.
October 4, 2016: JAMA: the Journal of the American Medical Association
https://www.readbyqxmd.com/read/27643796/should-we-still-believe-in-randomized-controlled-trials-in-nephrology
#9
Monica Cortinovis, Norberto Perico, Giuseppe Remuzzi
The randomized controlled trial (RCT) is the cornerstone upon which clinical decision-making is based. Pivotal RCTs in the nephrology area efficiently demonstrated the renoprotective effects of treatment with renin-angiotensin system inhibitors in patients with diabetic and non-diabetic proteinuric nephropathies. However, there is concern about the increasing cost, complexity and duration of clinical studies. Moreover, recent large RCTs addressing key issues for patients with renal disease failed to achieve definitive conclusions mainly due to critical flaws in the investigational strategies, including the adoption of excessive/fixed doses of the study medications, inappropriate use of the placebo-controlled design, enrollment of low-risk individuals, poor reporting of adverse events or unreliable evaluation of renal function...
September 20, 2016: Nephron
https://www.readbyqxmd.com/read/27485596/individualizing-endpoints-in-randomized-clinical-trials-to-better-inform-individual-patient-care-the-target-proposal
#10
REVIEW
Theodore J Iwashyna, Adam M Deane
In practice, critical care practitioners individualize treatments and goals of care for each patient in light of that patient's acute and chronic pathophysiology, as well as their beliefs and values. Yet critical care researchers routinely measure one endpoint for all patients during randomized clinical trials (RCTs), eschewing any such individualization. More recent methodology work has explored the possibility that enrollment criteria in RCTs can be individualized, as can data analysis plans. Here we propose that the specific endpoints of a RCT can be individualized-that is, different patients within a single RCT might have different secondary endpoints measured...
2016: Critical Care: the Official Journal of the Critical Care Forum
https://www.readbyqxmd.com/read/27521118/more-detail-is-needed-for-updating-clinical-guidelines
#11
LETTER
L Martínez García, H Pardo-Hernandez, P Alonso-Coello
No abstract text is available yet for this article.
September 2016: Kidney International
https://www.readbyqxmd.com/read/27553952/use-of-causal-diagrams-to-inform-the-design-and-interpretation-of-observational-studies-an-example-from-the-study-of-heart-and-renal-protection-sharp
#12
Natalie Staplin, William G Herrington, Parminder K Judge, Christina A Reith, Richard Haynes, Martin J Landray, Colin Baigent, Jonathan Emberson
Observational studies often seek to estimate the causal relevance of an exposure to an outcome of interest. However, many possible biases can arise when estimating such relationships, in particular bias because of confounding. To control for confounding properly, careful consideration of the nature of the assumed relationships between the exposure, the outcome, and other characteristics is required. Causal diagrams provide a simple graphic means of displaying such relationships, describing the assumptions made, and allowing for the identification of a set of characteristics that should be taken into account (i...
August 23, 2016: Clinical Journal of the American Society of Nephrology: CJASN
https://www.readbyqxmd.com/read/27383970/let-s-make-peer-review-scientific
#13
Drummond Rennie
No abstract text is available yet for this article.
July 5, 2016: Nature
https://www.readbyqxmd.com/read/27599630/end-points-for-clinical-trials-in-acute-kidney-injury
#14
David E Leaf, Sushrut S Waikar
Acute kidney injury (AKI) is an increasingly common and feared complication in hospitalized patients. The selection of appropriate primary and secondary end points is critical to the design and eventual success of clinical trials aimed at preventing and treating AKI. In this article, we provide an overview of AKI definitions and suggestions on the rational selection of end points for clinical trials in various settings, including the prevention of contrast-induced AKI, prevention of cardiac surgery-associated AKI, treatment of established AKI, and treatment of dialysis-requiring AKI...
September 3, 2016: American Journal of Kidney Diseases: the Official Journal of the National Kidney Foundation
https://www.readbyqxmd.com/read/27477357/reconciling-and-closing-the-loop-between-evidence-based-and-practice-based-medicine-the-case-for-hemodiafiltration
#15
EDITORIAL
Bernard Canaud, Peter J Blankestijn, Andrew Davenport, Michiel L Bots
No abstract text is available yet for this article.
August 2016: American Journal of Kidney Diseases: the Official Journal of the National Kidney Foundation
https://www.readbyqxmd.com/read/27579633/accelerating-innovation-in-health-it
#16
Robert S Rudin, David W Bates, Calum MacRae
Even as information technology (IT) transforms many industries, the pace of innovation in health IT continues to lag. Electronic health records (EHRs) receive few accolades from providers and have been cited as a major source of professional dissatisfaction among physicians. Despite a proliferation..
September 1, 2016: New England Journal of Medicine
https://www.readbyqxmd.com/read/27579636/the-primary-outcome-fails-what-next
#17
REVIEW
Stuart J Pocock, Gregg W Stone
No abstract text is available yet for this article.
September 1, 2016: New England Journal of Medicine
https://www.readbyqxmd.com/read/27518657/the-yale-open-data-access-yoda-project-a-mechanism-for-data-sharing
#18
Harlan M Krumholz, Joanne Waldstreicher
A clinician researcher has an idea for a study that could change practice. The researcher identifies an existing data set that is ideal for her study — other researchers conducted a clinical trial, produced this data set, and published a report of the primary findings. Time has passed since the..
August 4, 2016: New England Journal of Medicine
https://www.readbyqxmd.com/read/27518656/strengthening-research-through-data-sharing
#19
Elizabeth Warren
Data sharing has incredible potential to strengthen academic research, the practice of medicine, and the integrity of the clinical trial system. Some benefits are obvious: when researchers have access to complete data, they can answer new questions, explore different lines of analysis, and more..
August 4, 2016: New England Journal of Medicine
https://www.readbyqxmd.com/read/27509097/the-emergence-of-the-randomized-controlled-trial
#20
Laura E Bothwell, Scott H Podolsky
No abstract text is available yet for this article.
August 11, 2016: New England Journal of Medicine
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