Reversal of Diabesity: Normalization of Insulin Release Curve in Association with Reversal of Non-Alcoholic Fatty Liver Disease.

OBJECTIVE: Type 2 diabetes with obesity is regarded as an incurable, progressive disease with many complications. The hypothesis was tested that glycated haemoglobin (HbA1c) and the insulin release curve can be restored by traceable systematic methods. METHODS: 122 people with diabesity were investigated before and after three and 6 months of traceable systematic management methods. Basal body mass index (BMI), fatty liver, HbA1c, and insulin release curve were measured. RESULTS: After 3 months of traceable systematic management, BMI decreased from 30.76 ± 0.48 to 21.86 ± 0.09 kg/m2 (p < 0.001) and remained stable during the last 3 months (21.82 ± 0.09 kg/m2 at 6 months). Colour Doppler ultrasound showed non-alcoholic fatty liver disease (NAFLD) in all diabesity participants at baseline. At 3 months, only one participant had low-grade fatty liver, and fatty liver was reversed in other participants (p < 0.001). The number and grade of fatty liver at 6 months were the same as at 3 months. Fasting plasma glucose decreased and continued to decrease thereafter (p < 0.001). Two-hour postprandial plasma glucose decreased and continued to decline until 6 months (p < 0.001). HbA1c also decreased and maintained this level at 6 months. At baseline, the peak value of insulin release was 1,141.09 ± 43.02 pmol/L at 2 h after meals, and the early phase of insulin secretion was lost. After 3 months of management, the insulin concentration was 621.62 ± 19.32 pmol/L at 2 h after meals. After 6 months, the value decreased, and the early phase of insulin secretion recovered. CONCLUSIONS: Normalization of the insulin release curve in type 2 diabetes was achieved by traceable systematic methods. This was associated with recovery from NAFLD. Diabesity is reversible by traceable systematic management.

Reviewing the research methods literature: principles and strategies illustrated by a systematic overview of sampling in qualitative research.

BACKGROUND: Overviews of methods are potentially useful means to increase clarity and enhance collective understanding of specific methods topics that may be characterized by ambiguity, inconsistency, or a lack of comprehensiveness. This type of review represents a distinct literature synthesis method, although to date, its methodology remains relatively undeveloped despite several aspects that demand unique review procedures. The purpose of this paper is to initiate discussion about what a rigorous systematic approach to reviews of methods, referred to here as systematic methods overviews, might look like by providing tentative suggestions for approaching specific challenges likely to be encountered. The guidance offered here was derived from experience conducting a systematic methods overview on the topic of sampling in qualitative research. RESULTS: The guidance is organized into several principles that highlight specific objectives for this type of review given the common challenges that must be overcome to achieve them. Optional strategies for achieving each principle are also proposed, along with discussion of how they were successfully implemented in the overview on sampling. We describe seven paired principles and strategies that address the following aspects: delimiting the initial set of publications to consider, searching beyond standard bibliographic databases, searching without the availability of relevant metadata, selecting publications on purposeful conceptual grounds, defining concepts and other information to abstract iteratively, accounting for inconsistent terminology used to describe specific methods topics, and generating rigorous verifiable analytic interpretations. Since a broad aim in systematic methods overviews is to describe and interpret the relevant literature in qualitative terms, we suggest that iterative decision making at various stages of the review process, and a rigorous qualitative approach to analysis are necessary features of this review type. CONCLUSIONS: We believe that the principles and strategies provided here will be useful to anyone choosing to undertake a systematic methods overview. This paper represents an initial effort to promote high quality critical evaluations of the literature regarding problematic methods topics, which have the potential to promote clearer, shared understandings, and accelerate advances in research methods. Further work is warranted to develop more definitive guidance.

Systematic methods for measuring outcomes: How they may be used to improve outcomes after Radical cystectomy.

In the era of managed healthcare, the measuring and reporting of surgical outcomes is a universal mandate. The outcomes should be monitored and reported in a timely manner. Methods for measuring surgical outcomes should be continuous, free of bias and accommodate variations in patient factors. The traditional methods of surgical audits are periodic, resource-intensive and have a potential for bias. These audits are typically annual and therefore there is a long time lag before any effective remedial action could be taken. To reduce this delay the manufacturing industry has long used statistical control-chart monitoring systems, as they offer continuous monitoring and are better suited to monitoring outcomes systematically and promptly. The healthcare industry is now embracing such systematic methods. Radical cystectomy (RC) is one of the most complex surgical procedures. Systematic methods for measuring outcomes after RC can identify areas of improvements on an ongoing basis, which can be used to initiate timely corrective measures. We review the available methods to improve the outcomes. Cumulative summation charts have the potential to be a robust method which can prompt early warnings and thus initiate an analysis of root causes. This early-warning system might help to resolve the issue promptly with no need to wait for the report of annual audits. This system can also be helpful for monitoring learning curves for individuals, both in training or when learning a new technology.