Results 51 to 60 of about 169,283,811 (262)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Numerous international studies have reported declines in new cancer diagnoses, delayed diagnoses and disruptions in cancer treatment following the implementation of COVID‐19 pandemic public health measures, raising concerns that these effects may ultimately contribute to increased cancer mortality.
Friederike Erdmann +8 more
wiley +1 more source
Risk-of-bias ratings for epidemiological studies (n = 42).
, 2022 Criteria ratings served as the basis for the assignment of individual studies to one out of 3 study quality categories (1st tier, 2nd tier, 3rd tier; see S1 Fig). Black frames indicate key risk-of-bias criteria.
Dagmar Dechent (3930344) +5 more
core +1 more source
ChildrenObjective: To determine the publication bias of the reported prevalence of malocclusions in Mexican children and adolescents. Background: Publication bias determination is crucial in a systematic review, helping to ensure the conclusions’ validity and ...
Liliana Argueta-Figueroa +8 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Relapsed and/or refractory (R/R) pediatric acute leukemia carries a dismal prognosis, largely driven by chemoresistance to conventional salvage therapy. The BH3‐mimetic venetoclax, combined with chemotherapy or hypomethylating agents, has demonstrated efficacy in small clinical trials.
Katherine S. Colman +9 more
wiley +1 more source
The chronometrics of confirmation bias : evidence for the inhibition of intuitive judgements [PDF]
, 2011 Mercier & Sperber (M&S) claim that the phenomenon of belief bias - which they consider to be an archetypal manifestation of a general confirmation bias in human reasoning - provides fundamental support for their argumentative theory and its basis in ...
Stupple, Edward J. N. +5 more
core +1 more source
Risk-of-bias ratings for experimental studies (n = 11).
, 2022 Criteria ratings served as the basis for the assignment of individual studies to one out of 3 study quality categories (1st tier, 2nd tier, 3rd tier; see S1 Fig). Black frames indicate key risk-of-bias criteria.
Dagmar Dechent (3930344) +5 more
core +1 more source
Educational Technology QuarterlyGamification has attracted growing research attention as an instructional strategy for history education, yet the methodological rigour of this evidence base has not been systematically evaluated.
Serhii S. Korniienko +1 more
doaj +1 more source
PROBAST+AI: an interpretation of the tool for assessing the quality, risk of bias and applicability of prediction models based on traditional or artificial intelligence methods [PDF]
Yixue xinzhi zazhiIn recent years, artificial intelligence (AI) or machine learning (ML) methods have been increasingly used in the development and evaluation of clinical prediction models. Their algorithms differ from traditional regression modeling methods, resulting in
ZOU Wenting +7 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Cytomegalovirus (CMV) is a recognized trigger of immune thrombocytopenia (ITP); however, its incidence and impact on disease course in children remain controversial. Therefore, we aimed to characterize the clinical course of pediatric patients with CMV‐associated ITP.
Oded Gilad +9 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Reduced bone mineral density (BMD) has been reported in survivors of childhood and young adult acute lymphoblastic leukaemia (ALL); however, data from cohorts treated with contemporary protocols and including matched controls remain limited.
Karen Schow Jensen +10 more
wiley +1 more source