DESIGN/METHODOLOGY/APPROACH: The proposed model was tested by using multisource data collected across two points in time from final year nursing students and medical dispensers of five nursing colleges of south-Punjab, Pakistan. The model was analyzed with Mplus for random coefficient models for direct effects, mediated moderation, and UCINET for central tendency of creative idea validation.
FINDINGS: It was found that relationship conflicts with co-workers were negatively related to their validation of creative ideas. However, supervisory support and team affective tone independently attenuate the negative effects of relationship conflicts with co-workers and the validation of creative ideas. Positive affective tone emerged as a positive predictor of creative idea validation. Additionally, positive affective tone as affected by supervisory support attenuated the negative relationship between relationship conflicts with co-workers and their validation of creative ideas. Finally, the relationship between relationship conflicts with co-workers and their validation of creative ideas is more positive when both supervisory support and positive affective tone are high, however, low otherwise.
PRACTICAL IMPLICATIONS: This study will help policymakers understand what might be hindering the transfer of creative ideas to influential others (Leaders, Managers, etc.) and what they need to do to enhance the creative pool of their organizations. Although developing an environment that fosters creativity is important for the organizations, developing strategies to manage relationship conflicts related to supervisory support and positive affective tone will help transfer creative ideas to higher offices even when there are dysfunctional conflicts.
ORIGINALITY/VALUE: This research shifts the conventional focus of understanding creativity from the generating side by explaining challenges that creative individuals face in promoting creative ideas with more criticism and offense by coworkers than support. Also, the interplay between the relationship conflicts with co-workers and team affective tone affected by supervisory support for validation of creative ideas enhanced our understanding of the boundary conditions of relationship conflict and creative idea validation.
METHODS: A systematic review on the classification and assessment techniques to measure breast ptosis was carried out based on the Preferred Reporting Items for Systemic Reviews and Meta-Analyses (PRISMA) guidelines. The risk of bias was assessed using the modified Newcastle-Ottawa scale for observational studies, whereas the Revised Cochrane risk-of-bias tool for randomized trials (RoB2) was used to evaluate randomized studies.
RESULTS: Of 2550 articles identified in the literature search, 16 observational and 2 randomized studies describing the classification and assessment techniques of breast ptosis were included in the review. A total of 2033 subjects were involved. Half of the total observational studies had a Newcastle-Ottawa scale score of 5 and above. In addition, all randomized trials recorded a low overall bias.
CONCLUSION: A total of 7 classifications and 4 measurement techniques for breast ptosis were identified. However, most studies did not demonstrate a clear derivation of sample size beside lacking robust statistical analysis. Hence, further studies that apply the latest technology to combine the strength of previous assessment techniques are needed to develop better classification system that is applicable to all affected women.
DATA SOURCES: None.
STUDY SELECTION: Current literature describing the conduct, reporting, and appraisal of systematic reviews and meta-analyses.
DATA EXTRACTION: Best practices for conducting, reporting, and appraising systematic review were summarized.
DATA SYNTHESIS: A systematic review is a review of a clearly formulated question that uses systematic and explicit methods to identify, select, and critically appraise relevant original research, and to collect and analyze data from the studies that are included in the review. Critical appraisal methods address both the credibility (quality of conduct) and rate the confidence in the quality of summarized evidence from a systematic review. The A Measurement Tool to Assess Systematic Reviews-2 tool is a widely used practical tool to appraise the conduct of a systematic review. Confidence in estimates of effect is determined by assessing for risk of bias, inconsistency of results, imprecision, indirectness of evidence, and publication bias.
CONCLUSIONS: Systematic reviews are transparent and reproducible summaries of research and conclusions drawn from them are only as credible and reliable as their development process and the studies which form the systematic review. Applying evidence from a systematic review to patient care considers whether the results can be directly applied, whether all important outcomes have been considered, and if the benefits are worth potential harms and costs.
METHODS: The study prospectively enrolled 62 patients with IIC on EEG. The diagnosis of nonconvulsive status epilepticus was attempted with Salzburg criteria as well as clinical and neuroimaging data. IICs were dichotomized into patients with nonconvulsive status epilepticus and coma-IIC. The 2HELPS2B score was evaluated as the original proposal. The suppression ratio was analyzed with Persyst software.
RESULTS: Forty-seven cases (75.8%) were nonconvulsive status epilepticus-IIC and 15 cases (24.2%) were coma-IIC. Multivariate analysis revealed that the 2HELPS2B score was the only significant variable dichotomizing the spectrum of IIC (odds ratio, 3.0; 95% confidence interval, 1.06-8.6; P = 0.03 for nonconvulsive status epilepticus-IIC). In addition, the suppression ratio was significantly negatively correlated with 2HELPS2B scores (Spearman coefficient = -0.37, P = 0.004 for left hemisphere and Spearman coefficient = -0.3, P = 0.02 for right hemisphere). Furthermore, patients with higher 2HELPS2B score (74% [14/19] in ≥2 points vs. 44% [14/32] in <2 points, P = 0.03 by χ 2 test) and lower suppression ratio (62% [23/37] in ≤2.18 vs. 35% [6/17] in >2.18, P = 0.06 by χ 2 test) seemed to be more responsive to subsequent anti-seizure drug.
CONCLUSIONS: The 2HELPS2B score and background suppression can be used to distinguish the spectrum of IIC and thereby predict the response to subsequent anti-seizure drug.
MATERIALS AND METHODS: A literature review was performed following the PRISMA guidelines. Systematic searches were performed in PubMed, Scopus, Cochrane and Embase databases from the earliest record up to September 2022. Related studies on deep learning models for radiotherapy toxicity prediction were selected based on predefined PICOS criteria.
RESULTS: Fourteen studies of radiotherapy-treated patients on different types of cancer [prostate (n=2), HNC (n=4), liver (n=2), lung (n=4), cervical (n=1), and oesophagus (n=1)] were eligible for inclusion in the systematic review. Information regarding patient characteristics and model development was summarized. Several approaches, such as ensemble learning, data augmentation, and transfer learning, that were utilized by selected studies were discussed.
CONCLUSION: Deep learning techniques are able to produce a consistent performance for toxicity prediction. Future research using large and diverse datasets and standardization of the study methodologies are required to improve the consistency of the research output.