Research methods in performance validity testing studies: Criterion grouping approach impacts study outcomes

Objective: Performance validity test (PVT) research studies commonly utilize a known-groups design, but the criterion grouping approaches within the design vary greatly from one study to another. At the present time, it is unclear as to what degree different criterion grouping approaches might impact PVT classification accuracy statistics. Method: To analyze this, the authors used three different criterion grouping approaches to examine how classification accuracy statistics of a PVT (Word Choice Test; WCT) would differ. The three criterion grouping approaches included: (1) failure of 2+ PVTs versus failure of 0 PVTs, (2) failure of 2+ PVTs versus failure of 0–1 PVT, and (3) failure of a stand-alone PVT versus passing of a stand-alone PVT (Test of Memory Malingering). Results: When setting specificity at ≥.90, WCT cutoff scores ranged from 41 to 44 and associated sensitivity values ranged from .64 to .88, depending on the criterion grouping approach that was utilized. Conclusions: When using a stand-alone PVT to define criterion group status, classification accuracy rates of the WCT were higher than expected, likely due to strong correlations between the reference PVT and the WCT. This held true even when considering evidence that this grouping approach results in higher rates of criterion group misclassification. Conversely, when using criterion grouping approaches that utilized failure of 2+ PVTs, accuracy rates were more consistent with expectations. These findings demonstrate that criterion grouping approaches can impact PVT classification accuracy rates and resultant cutoff scores. Strengths, weaknesses, and practical implications of each of the criterion grouping approaches are discussed.     

Body mass index growth trajectories from birth through 24 months in Iranian infants of mothers with gestational diabetes mellitus

AimsChild growth is one of the important health indicators in pediatric care. Few studies focused on the impact of prenatal exposure to gestational diabetes mellitus (GDM) on growth trajectories particular in early years of childhood. The aim of this study was identifying growth pattern of GDM exposed offspring's, comparison with new WHO child growth standards.Methods and materialsIn a population-based Longitudinal study 438 infants exposed to gestational diabetes in utero, aged 0–24 months, born between 2014 and 2016 with at least 9 visits in first 2 years of life were enrolled. Twenty health centers of Ahvaz city (Capital of Khuzestan province, located in south western of Iran) and two referral centers for neonatal hypothyroidism involved the study.ResultsOf 438 GDM exposed infants, 54.6% were boys. Incidence of low birth weight and macrosomia were 4.6% and 8.7% respectively.Results4.6% had birth weight less than 2500gr and 8.7% was rate of macrosomia. Boys had higher weight and BMI than girls. Peak of BMI was 17.8 (±2.07) at 6 months after Gender was significant factor in predicted of BMI growth trajectories in GDM exposed children (p = 0.001). BMI in GDM exposed infants, in first 2 years of life was higher than WHO growth standards 2006 (P < 0.01).ConclusionMedians of BMI in GDM exposed infants in all measures was higher than WHO reference data 2006 (P < 0.01). Obesity prevention programs must be priority in GDM exposed infants.     

Exploring healthcare professionals’ perceptions of medication errors in an adult oncology department in Saudi Arabia: A qualitative study

Objective

Adverse events which result from medication errors are considered to be one of the most frequently encountered patient safety issues in clinical settings. We undertook a qualitative investigation to identify and explore factors relating to medication error in an adult oncology department in Saudi Arabia from the perspective of healthcare professionals.

Relationship between rosacea and dietary factors: A multicenter retrospective case–control survey

Although patients with rosacea often consult dermatologists for dietary factors that might be related to their skin disorders, few studies have been conducted to research the relationship between rosacea and dietary factors. The purpose of this study was to evaluate the potential relationship between rosacea and diet among the large Chinese population with rosacea, which would provide dietary guidelines for patients with rosacea. A multicenter case–control study was conducted. The feeding frequency 2 years before the occurrence of rosacea was collected by standardized questionnaires. Multiple logistic regression analysis was used to calculate risks related to the diet. One thousand three hundred and forty‐seven patients with rosacea and 1290 controls were enrolled in our study. We found that high‐frequency intake of fatty food and tea presented a positive correlation with rosacea, while high‐frequency dairy product intake showed significant negative correlation with rosacea. Sweet food, coffee and spicy food appeared to be independent of any subset of rosacea in our study. However, high‐frequency dairy product intake showed a borderline beneficial effect on rosacea severity. We further analyzed the correlation between diet and the subtype of rosacea. We found that high‐frequency fatty intake was associated with erythematotelangiectatic rosacea (ETR) and phymatous rosacea, while high‐frequency tea intake was only associated with ETR. In addition, high‐frequency dairy product intake showed negative correlations with ETR and papulopustular rosacea. Rosacea is associated with some dietary factors, and our study is valuable in establishing dietary guidelines to prevent and improve rosacea.     

An overview of translational prostate cancer cohorts for prognostic and predictive studies

The aim of this review is to describe the characteristics of patient cohorts commonly used for translational biomarker research in prostate cancer and to outline the most prominent contemporary cohorts which serve as a source of prognostic and predictive biomarkers. A non‐systematic review of the literature was performed to identify and summarise well‐characterized translational prostate cancer cohorts that provide state‐of‐the‐art characterization of (i) primary and (ii) metastatic and castration‐resistant prostate cancer. The main advantages and features of these cohorts are a substantial number of patients, unique patient groups, comprehensive genetic characterisation of tumours using multi‐omics/next‐generation sequencing approaches, high‐quality control standards and fully or partially open data for the research community. This overview includes the contemporary cohorts which serve as a rich source of new targets for prognostic and predictive biomarkers as well as a reference database for validation of known biomarkers, therefore representing the cohorts whose impact extends over the current state of biomarker research into the near future (5–10 years).