Arm ; Asian Continental Ancestry Group ; Bias (Epidemiology) ; Carboplatin ; Disease-Free Survival ; Doxorubicin ; Drug Therapy ; Follow-Up Studies ; Humans ; Maintenance Chemotherapy ; Ovarian Neoplasms ; Prognosis ; Quality of Life ; Recombination, Genetic ; Sample Size

bias of 0.005 (95% CI −0.011 to 0.021) with 95% limits of agreement of −0.16 to 0.17 between vFFR and FFR. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value were 78.0%, 87.1%, 72.5%, 58.7%, and 92.6%, respectively, using the FFR cutoff of 0.80. They were 87.0%, 95.0%, 80.0%, 54.3%, and 98.5%, respectively, with the FFR cutoff of 0.75. The area under the receiver-operating characteristics curve of vFFR versus obstructive CTA stenosis was 0.88 versus 0.61 for the FFR cutoff of 0.80, respectively; it was 0.94 versus 0.62 for the FFR cutoff of 0.75.CONCLUSION: Our novel, fully automated, on-site vFFR technology showed excellent diagnostic performance for the detection of lesion-specific ischemia.]]>
Angiography ; Bias (Epidemiology) ; Constriction, Pathologic ; Coronary Angiography ; Fractional Flow Reserve, Myocardial ; Humans ; Ischemia ; Patient-Specific Modeling ; Sensitivity and Specificity

bias. In addition, there were no significant differences in intensive care unit (ICU) mortality, in-hospital mortality, 28-day mortality, or ICU length of stay between the groups.CONCLUSION: Discontinuing NE prior to AVP was associated with a lower incidence of hypotension in patients recovering from septic shock. However, our results should be interpreted with caution, due to the considerable between-study heterogeneity.]]>
Arginine Vasopressin ; Arginine ; Bias (Epidemiology) ; Consensus ; Hospital Mortality ; Humans ; Hypotension ; Incidence ; Intensive Care Units ; Length of Stay ; Mortality ; Norepinephrine ; Odds Ratio ; Population Characteristics ; Sepsis ; Shock, Septic ; Treatment Outcome ; Vasoconstrictor Agents

Bias ; Coronavirus Infections ; epidemiology ; transmission ; Humans ; Pandemics ; Pneumonia, Viral ; epidemiology ; transmission ; Uncertainty

Cardiovascular disease (CVD) is considered a primary driver of global mortality and is estimated to be responsible for approximately 17.9 million deaths annually. Consequently, a substantial body of research related to CVD has developed, with an emphasis on identifying strategies for the prevention and effective treatment of CVD. In this review, we critically examine the existing CVD literature, and specifically highlight the contribution of Mendelian randomization analyses in CVD research. Throughout this review, we assess the extent to which research findings agree across a range of studies of differing design within a triangulation framework. If differing study designs are subject to non-overlapping sources of bias, consistent findings limit the extent to which results are merely an artefact of study design. Consequently, broad agreement across differing studies can be viewed as providing more robust causal evidence in contrast to limiting the scope of the review to a single specific study design. Utilising the triangulation approach, we highlight emerging patterns in research findings, and explore the potential of identified risk factors as targets for precision medicine and novel interventions.
Artifacts ; Bias (Epidemiology) ; Cardiovascular Diseases ; Mendelian Randomization Analysis ; Mortality ; Precision Medicine ; Random Allocation ; Risk Factors

PURPOSE: A systematic review and meta-analysis was conducted to evaluate the effects of smartphone-based mobile learning for nurses and nursing students. METHODS: Electronic literature search of PubMed, Cochrane Library, Embase, SCOPUS, Web of Science, ProQuest Central, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Educational Resource Information Center (ERIC) was conducted. Two authors independently reviewed empirical studies for inclusion and extracted the design, sample size, intervention method, outcome variables, and statistical values of them. Methodological quality was assessed using Cochrane collaboration risk of bias tool. To estimate the effect size, meta-analysis was performed using R meta program. RESULTS: Authors identified 11 randomized or nonrandomized controlled trials of a total of 3,419 studies. Overall effect sizes by random-effects model was large [Hedges'g (g) = 1.12, 95% confidence interval (CI) 0.72−1.52], with learning attitude (g = 1.69), skills (g = 1.41), knowledge (g = 1.47), and confidence in performance (g = 1.54). For heterogeneity, subgroup analyses using meta-analysis of variance were performed, but no significant difference was found. Finally, a funnel plot and Egger's regression test along with trim-and-fill analysis and fail-safe N were conducted to check for publication bias, but no significant bias was detected. CONCLUSION: Smartphone-based mobile learning had significantly positive influence on nursing students' knowledge, skills, confidence in performance, and learning attitude. Smartphone-based mobile learning may be an alternative or supportive method for better education in nursing fields.
Bias (Epidemiology) ; Cooperative Behavior ; Education ; Education, Nursing ; Humans ; Information Centers ; Learning ; Methods ; Nursing ; Population Characteristics ; Publication Bias ; Sample Size ; Smartphone ; Students, Nursing

In a large number of randomized controlled trials, researchers provide P values for demographic data, which are commonly reported in table 1 of the article for the purpose of emphasizing the lack of differences between or among groups. As such, the authors intend to demonstrate that statistically insignificant P values in the demographic data confirm that group randomization was adequately performed. However, statistically insignificant P values do not necessarily reflect successful randomization. It is more important to rigorously establish a plan for statistical analysis during the design and planning stage of the study, and to consider whether any of the variables included in the demographic data could potentially affect the research results. If a researcher rigorously designed and planned a study, and performed it accordingly, the conclusions drawn from the results would not be influenced by P values, regardless of whether they were significant. In contrasts, imbalanced variables could affect the results after variance controlling, even though whole study process are well planned and executed. In this situation, the researcher can provide results with both the initial method and a second stage of analysis including such variables. Otherwise, for brief conclusions, it would be pointless to report P values in a table simply listing baseline data of the participants.
Bias (Epidemiology) ; Methods ; Random Allocation

Randomized controlled trial is widely accepted as the best design for evaluating the efficacy of a new treatment because of the advantages of randomization (random allocation). Randomization eliminates accidental bias, including selection bias, and provides a base for allowing the use of probability theory. Despite its importance, randomization has not been properly understood. This article introduces the different randomization methods with examples: simple randomization; block randomization; adaptive randomization, including minimization; and response-adaptive randomization. Ethics related to randomization are also discussed. The study is helpful in understanding the basic concepts of randomization and how to use R software.
Bias (Epidemiology) ; Ethics ; Probability Theory ; Random Allocation ; Selection Bias

BACKGROUND: The assessment of intravascular volume status is very important especially in children during anesthesia. Pulse pressure variation (PPV) and pleth variability index (PVI) are well known parameters for assessing intravascular volume status and fluid responsiveness. We compared PPV and PVI for children aged less than two years who underwent surgery in the prone position. METHODS: A total of 27 children were enrolled. We measured PPV and PVI at the same limb during surgery before and after changing the patients’ position from supine to prone. We then compared PPV and PVI at each period using Bland-Altman plot for bias between the two parameters and for any correlation. We also examined the difference between before and after the position change for each parameter, along with peak inspiratory pressure, heart rate and mean blood pressure. RESULTS: The bias between PPV and PVI was −2.2% with a 95% limits of agreement of −18.8% to 14.5%, not showing significant correlation at any period. Both PPV and PVI showed no significant difference before and after the position change. CONCLUSIONS: No significant correlation between PVI and PPV was observed in children undergoing surgery in the prone position. Further studies relating PVI, PPV, and fluid responsiveness via adequate cardiac output estimation in children aged less than 2 years are required.
Anesthesia ; Arterial Pressure ; Bias (Epidemiology) ; Blood Pressure ; Cardiac Output ; Child ; Extremities ; Fluid Therapy ; Heart Rate ; Humans ; Plethysmography ; Prone Position

PURPOSE: Assessment in different languages should measure the same construct. However, item characteristics, such as item flaws and content, may favor one test-taker group over another. This is known as item bias. Although some studies have focused on item bias, little is known about item bias and its association with items characteristics. Therefore, this study investigated the association between item characteristics and bias. METHODS: The University of Groningen offers both an international and a national bachelor’s program in medicine. Students in both programs take the same progress test, but the international progress test is literally translated into English from the Dutch version. Differential item functioning was calculated to analyze item bias in four subsequent progress tests. Items were also classified by their categories, number of alternatives, item flaw, item length, and whether it was a case-based question. RESULTS: The proportion of items with bias ranged from 34% to 36% for the various tests. The number of items and the size of their bias was very similar in both programmes. We have identified that the more complex items with more alternatives favored the national students, whereas shorter items and fewer alternatives favored the international students. CONCLUSION: Although nearly 35% of all items contain bias, the distribution and the size of the bias were similar for both groups. The findings of this paper may be used to improve the writing process of the items, by avoiding some characteristics that may benefit one group whilst being a disadvantage for others.
Bias (Epidemiology) ; Education, Medical ; Educational Measurement ; Humans ; Writing