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Statistics and Nephrology

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273 papers 100 to 500 followers
By Isabel Acosta-Ochoa Nephrology senior staff. Valladolid. Spain
https://www.readbyqxmd.com/read/28957311/ten-simple-rules-for-structuring-papers
#1
EDITORIAL
Brett Mensh, Konrad Kording
No abstract text is available yet for this article.
September 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/24626938/writing-scientific-articles-like-a-native-english-speaker-top-ten-tips-for-portuguese-speakers
#2
EDITORIAL
Mariel A Marlow
No abstract text is available yet for this article.
March 2014: Clinics
https://www.readbyqxmd.com/read/29126280/composing-a-new-song-for-trials-the-standardized-outcomes-in-nephrology-song-initiative
#3
Allison Tong, Jonathan C Craig, Evi V Nagler, Wim Van Biesen
No abstract text is available yet for this article.
November 3, 2017: Nephrology, Dialysis, Transplantation
https://www.readbyqxmd.com/read/28104076/comparison-of-propensity-score-methods-and-covariate-adjustment-evaluation-in-4-cardiovascular-studies
#4
REVIEW
Markus C Elze, John Gregson, Usman Baber, Elizabeth Williamson, Samantha Sartori, Roxana Mehran, Melissa Nichols, Gregg W Stone, Stuart J Pocock
Propensity scores (PS) are an increasingly popular method to adjust for confounding in observational studies. Propensity score methods have theoretical advantages over conventional covariate adjustment, but their relative performance in real-word scenarios is poorly characterized. We used datasets from 4 large-scale cardiovascular observational studies (PROMETHEUS, ADAPT-DES [the Assessment of Dual AntiPlatelet Therapy with Drug-Eluting Stents], THIN [The Health Improvement Network], and CHARM [Candesartan in Heart Failure-Assessment of Reduction in Mortality and Morbidity]) to compare the performance of conventional covariate adjustment with 4 common PS methods: matching, stratification, inverse probability weighting, and use of PS as a covariate...
January 24, 2017: Journal of the American College of Cardiology
https://www.readbyqxmd.com/read/29059685/rethinking-rates-of-undiagnosed-diabetes-the-value-of-a-confirmatory-test
#5
Anne L Peters
No abstract text is available yet for this article.
October 24, 2017: Annals of Internal Medicine
https://www.readbyqxmd.com/read/29059688/when-clinical-practice-guidelines-collide-finding-a-way-forward
#6
Sheldon Greenfield, Sherrie H Kaplan
No abstract text is available yet for this article.
November 7, 2017: Annals of Internal Medicine
https://www.readbyqxmd.com/read/29030992/inadequate-safety-reporting-in-pre-eclampsia-trials-a-systematic-evaluation
#7
James M N Duffy, Martin Hirsch, Louise Pealing, Marian Showell, Khalid S Khan, Sue Ziebland, Richard J McManus
BACKGROUND: Randomised trials and their syntheses in meta-analyses offer a unique opportunity to assess the frequency and severity of adverse reactions. OBJECTIVE: To assess safety reporting in pre-eclampsia trials. SEARCH STRATEGY: Systematic search using bibliographic databases, including Cochrane Central Register of Controlled Trials, Embase, and MEDLINE, from inception to August 2017. SELECTION CRITERIA: Randomised trials evaluating anticonvulsant or antihypertensive medication for pre-eclampsia...
October 14, 2017: BJOG: An International Journal of Obstetrics and Gynaecology
https://www.readbyqxmd.com/read/29024071/an-unjustified-benefit-immortal-time-bias-in-the-analysis-of-time-dependent-events
#8
REVIEW
Andreas Gleiss, Rainer Oberbauer, Georg Heinze
Immortal time bias is a problem arising from methodologically wrong analyses of time-dependent events in survival analyses. We illustrate the problem by analysis of a kidney transplantation study. Following patients from transplantation to death, groups defined by the occurrence or nonoccurrence of graft failure during follow-up seemingly had equal overall mortality. Such naive analysis assumes that patients were assigned to the two groups at time of transplantation, which actually are a consequence of occurrence of a time-dependent event later during follow-up...
October 11, 2017: Transplant International: Official Journal of the European Society for Organ Transplantation
https://www.readbyqxmd.com/read/28992275/cautionary-note-propensity-score-matching-does-not-account-for-bias-due-to-censoring
#9
Bas B L Penning de Vries, Rolf H H Groenwold
This article gives a review of the limitations of propensity score matching as a tool for confounding control in the presence of censoring. Using an illustrative simulation study, we emphasize the importance of explicit adjustment for selective loss to follow-up and explain how this may be achieved.
July 8, 2017: Nephrology, Dialysis, Transplantation
https://www.readbyqxmd.com/read/28864689/stepped-wedge-cluster-randomised-controlled-trial-to-assess-the-cardiovascular-health-effects-of-a-managed-aquifer-recharge-initiative-to-reduce-drinking-water-salinity-in-southwest-coastal-bangladesh-study-design-and-rationale
#10
Abu Mohd Naser, Leanne Unicomb, Solaiman Doza, Kazi Matin Ahmed, Mahbubur Rahman, Mohammad Nasir Uddin, Shamshad B Quraishi, Shahjada Selim, Mohammad Shamsudduha, William Burgess, Howard H Chang, Matthew O Gribble, Thomas F Clasen, Stephen P Luby
INTRODUCTION: Saltwater intrusion and salinisation have contributed to drinking water scarcity in many coastal regions globally, leading to dependence on alternative sources for water supply. In southwest coastal Bangladesh, communities have few options but to drink brackish groundwater which has been associated with high blood pressure among the adult population, and pre-eclampsia and gestational hypertension among pregnant women. Managed aquifer recharge (MAR), the purposeful recharge of surface water or rainwater to aquifers to bring hydrological equilibrium, is a potential solution for salinity problem in southwest coastal Bangladesh by creating a freshwater lens within the brackish aquifer...
September 1, 2017: BMJ Open
https://www.readbyqxmd.com/read/28892118/association-of-trial-registration-with-reporting-of-primary-outcomes-in-protocols-and-publications
#11
An-Wen Chan, Annukka Pello, Jessica Kitchen, Anna Axentiev, Jorma I Virtanen, Annie Liu, Elina Hemminki
No abstract text is available yet for this article.
November 7, 2017: JAMA: the Journal of the American Medical Association
https://www.readbyqxmd.com/read/28858910/digital-pathology-in-nephrology-clinical-trials-research-and-pathology-practice
#12
Laura Barisoni, Jeffrey B Hodgin
PURPOSE OF REVIEW: In this review, we will discuss (i) how the recent advancements in digital technology and computational engineering are currently applied to nephropathology in the setting of clinical research, trials, and practice; (ii) the benefits of the new digital environment; (iii) how recognizing its challenges provides opportunities for transformation; and (iv) nephropathology in the upcoming era of kidney precision and predictive medicine. RECENT FINDINGS: Recent studies highlighted how new standardized protocols facilitate the harmonization of digital pathology database infrastructure and morphologic, morphometric, and computer-aided quantitative analyses...
November 2017: Current Opinion in Nephrology and Hypertension
https://www.readbyqxmd.com/read/28847909/considerations-and-challenges-in-selecting-patient-reported-outcome-measures-for-clinical-trials-in-nephrology
#13
Angela Ju, Allison Tong
No abstract text is available yet for this article.
November 7, 2017: Clinical Journal of the American Society of Nephrology: CJASN
https://www.readbyqxmd.com/read/28697905/have-the-principles-of-experimental-medicine-become-obsolete-in-the-era-of-big-data
#14
Leon G Fine
No abstract text is available yet for this article.
September 2017: Kidney International
https://www.readbyqxmd.com/read/28709600/challenges-in-conducting-clinical-trials-in-nephrology-conclusions-from-a-kidney-disease-improving-global-outcomes-kdigo-controversies-conference
#15
Colin Baigent, William G Herrington, Josef Coresh, Martin J Landray, Adeera Levin, Vlado Perkovic, Marc A Pfeffer, Peter Rossing, Michael Walsh, Christoph Wanner, David C Wheeler, Wolfgang C Winkelmayer, John J V McMurray
Despite the high costs of treatment of people with kidney disease and associated comorbid conditions, the amount of reliable information available to guide the care of such patients is very limited. Some treatments have been assessed in randomized trials, but most such trials have been too small to detect treatment effects of a magnitude that would be realistic to achieve with a single intervention. Therefore, KDIGO convened an international, multidisciplinary controversies conference titled "Challenges in the Conduct of Clinical Trials in Nephrology" to identify the key barriers to conducting trials in patients with kidney disease...
August 2017: Kidney International
https://www.readbyqxmd.com/read/28709606/prospective-studies-using-risk-scores-are-needed-for-established-associations-for-worse-clinical-outcomes
#16
LETTER
Andrew Bentall
No abstract text is available yet for this article.
August 2017: Kidney International
https://www.readbyqxmd.com/read/28818846/statistical-methods-for-modeling-time-updated-exposures-in-cohort-studies-of-chronic-kidney-disease
#17
Dawei Xie, Wei Yang, Christopher Jepson, Jason Roy, Jesse Y Hsu, Haochang Shou, Amanda H Anderson, J Richard Landis, Harold I Feldman
When estimating the effect of an exposure on a time-to-event type of outcome, one can focus on the baseline exposure or the time-updated exposures. Cox regression models can be used in both situations. When time-dependent confounding exists, the Cox model with time-updated covariates may produce biased effect estimates. Marginal structural models, estimated through inverse-probability weighting, were developed to appropriately adjust for time-dependent confounding. We review the concept of time-dependent confounding and illustrate the process of inverse-probability weighting...
November 7, 2017: Clinical Journal of the American Society of Nephrology: CJASN
https://www.readbyqxmd.com/read/28751576/analytic-considerations-for-repeated-measures-of-egfr-in-cohort-studies-of-ckd
#18
Haochang Shou, Jesse Y Hsu, Dawei Xie, Wei Yang, Jason Roy, Amanda H Anderson, J Richard Landis, Harold I Feldman, Afshin Parsa, Christopher Jepson
Repeated measures of various biomarkers provide opportunities for us to enhance understanding of many important clinical aspects of CKD, including patterns of disease progression, rates of kidney function decline under different risk factors, and the degree of heterogeneity in disease manifestations across patients. However, because of unique features, such as correlations across visits and time dependency, these data must be appropriately handled using longitudinal data analysis methods. We provide a general overview of the characteristics of data collected in cohort studies and compare appropriate statistical methods for the analysis of longitudinal exposures and outcomes...
July 27, 2017: Clinical Journal of the American Society of Nephrology: CJASN
https://www.readbyqxmd.com/read/28754551/the-fragility-of-significant-results-underscores-the-need-of-larger-randomized-controlled-trials-in-nephrology
#19
Lani R Shochet, Peter G Kerr, Kevan R Polkinghorne
The Fragility Index is a tool for testing robustness of randomized controlled trial results for dichotomous outcomes. It describes the minimum number of individuals in whom changing an event status would render a statistically significant result nonsignificant. Here we identified all randomized controlled trials in five nephrology and five general journals from 2005-2014. A total of 127 randomized controlled trials reporting at least one dichotomous statistically significant outcome (p less than 0.05) were included and the Fragility Index was calculated...
July 26, 2017: Kidney International
https://www.readbyqxmd.com/read/28738403/developing-consensus-based-priority-outcome-domains-for-trials-in-kidney-transplantation-a-multinational-delphi-survey-with-patients-caregivers-and-health-professionals
#20
MULTICENTER STUDY
Bénédicte Sautenet, Allison Tong, Karine E Manera, Jeremy R Chapman, Anthony N Warrens, David Rosenbloom, Germaine Wong, John Gill, Klemens Budde, Lionel Rostaing, Lorna Marson, Michelle A Josephson, Peter P Reese, Timothy L Pruett, Camilla S Hanson, Donal O'Donoghue, Helen Tam-Tham, Jean-Michel Halimi, Jenny I Shen, John Kanellis, John D Scandling, Kirsten Howard, Martin Howell, Nick Cross, Nicole Evangelidis, Philip Masson, Rainer Oberbauer, Samuel Fung, Shilpa Jesudason, Simon Knight, Sreedhar Mandayam, Stephen P McDonald, Steve Chadban, Tasleem Rajan, Jonathan C Craig
BACKGROUND: Inconsistencies in outcome reporting and frequent omission of patient-centered outcomes can diminish the value of trials in treatment decision making. We identified critically important outcome domains in kidney transplantation based on the shared priorities of patients/caregivers and health professionals. METHODS: In a 3-round Delphi survey, patients/caregivers and health professionals rated the importance of outcome domains for trials in kidney transplantation on a 9-point Likert scale and provided comments...
August 2017: Transplantation
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