<i>Journal of Diabetes</i> NEWS
Bibliographic record
Abstract
The European Association for the Study of Obesity (EASO) held its 19th European Congress on Obesity (ECO) on 9–12 May 2012 in Lyon, France, to discuss what is arguably one of the fastest growing public health problems worldwide. Obesity has risen to the forefront of government and public health initiatives due to its association with several comorbid conditions, such as type 2 diabetes, cardiovascular disease, and hypertension among others. Attendees gathered at ECO to learn about all the latest developments in the management, treatment, and scientific understanding of obesity. Below, we present some of the highlights from the meeting (http://www.eco2012.org/documents/Final ECO2012Programme-AtAGlance.pdf, accessed 4 June 2012). At the opening plenary lecture, Dr Arnaud Basdevant, MD (Institut Cardiometabolisme et Nutrition, Paris, France), emphasized the heterogeneity of obesity, advocating a systems-based approach for the diagnosis, stratification, and treatment of patients with obesity. As a greater understanding is emerging about the pathogenesis of this disease, it has become more apparent that there are multiple phenotypes associated with obesity, and patients may be differentially treated based on their specific subtype. Dr Basdevant suggested that the current categorization of obesity phenotypes is rudimentary at best because body mass index (BMI) remains the cornerstone of classification and is not particularly useful. Dr Basdevant proposed that other factors be assessed, such as fat mass, adipose tissue structure, inflammation, fibrosis, and ectopic fat. Dr Basdevant stated that in his ideal future diagnoses would be based on individual health signatures that include hundreds of data points; the challenge is to identify robust and easy-to-use composite markers. The talks for the remainder of the conference tended to focus on treatment options for obesity, with a particular emphasis on pharmaceutical drugs in development. Arya Sharma, MD, PhD (University of Alberta, Alberta, Canada), stated that at least a 10% reduction in body weight must be seen to have a significant long-term impact on health. He commented that surgery is currently the most efficacious option in treating severe obesity, but it does not provide a population-level solution. Conversely, lifestyle modification is difficult to sustain and there are currently no drugs available on the market that bring about ≥10% weight loss. Fortunately, two drugs in development appear to have achieved that benchmark: phentermine/topiramate (Qnexa; Vivus, Mountain View, CA, USA) surpassed this threshold in the EQUIP trial,1 and liraglutide (Victoza; Novo Nordisk, Basgsværd, Denmark) could potentially meet this efficacy threshold in its ongoing development program. The EQUIP trial enrolled morbidly obese patients and found that a high dose of phentermine/topiramate brought about a 12–14% weight loss.1 In addition, Stephan Rössner, MD, PhD (Karolinska Institute, Stockholm, Sweden), demonstrated in the CONQUER trial (which also enrolled obese patients with serious comorbidities) that patients receiving phentermine/topiramate experienced significantly more weight loss versus placebo, irrespective of their baseline Edmonton Obesity Staging System (EOSS).2 The EOSS stratifies individuals based on their comorbidities and functional status as they relate to obesity.3 Those receiving the higher dose of phentermine/topiramate (15 mg/92 mg) lost, on average, between 9.5% and 10% of their baseline weight (depending on their EOSS stage), with between 45% and 48% of participants losing >10% of their baseline weight.4 Nick Finer, MBBS (University College London, London, UK), discussed a Phase II obesity dose-ranging trial for Novo Nordisk’s liraglutide (Victoza), a glucagon-like peptide (GLP)-1 currently approved for the treatment of type 2 diabetes. Dr Finer presented several post hoc analyses on a Phase II trial evaluating the efficacy of liraglutide for weight loss in obese patients without type 2 diabetes. Liraglutide 3.0 mg responders (those who lost ≥5% of weight 12 weeks after the initiation of therapy) who completed 1 year of therapy experienced 10.3% weight loss from baseline, and an average of 35.6% excess body weight loss. In addition, the numbers needed to treat (NNT) to achieve 5% or 10% weight loss with liraglutide 3.0 mg were highly favorable: two patients would need to be treated for one to achieve 5% weight loss, and only three patients would need to be treated for one to achieve 10% weight loss. Dr Finer noted that defining responder/non-responder status would allow for the development of stopping rules to asses the real-world health economic benefits for liraglutide and other obesity medications, whereas using excess body weight loss and NNT as measures could provide a more optimistic interpretation of data to patients and healthcare providers, also allowing for easier comparison with surgery (although baseline BMI would still need to be taken into account). Ian Caterson, MD, PhD (University of Sydney, Sydney, NSW, Australia), presented the results of a recent analysis of the Sibutramine Cardiovascular OUTcome Trial (SCOUT) that contradicted previous results linking the withdrawn anti-obesity drug Meridia (Abbott, North Chicago, IL, USA) with increased cardiovascular risk. The original analysis of SCOUT found that treatment with sibutramine increased the risk of cardiovascular events by 16% above placebo.5 This conclusion led to Meridia’s withdrawal from all major markets in 2010. However, Dr Caterson’s analysis concluded that intentional weight loss, with or without the use of Meridia, was associated with a reduction of cardiovascular risk.6 Dr Caterson commented that these new results suggest that including patients who did not lose weight in the initial analyses masked the potential benefits of weight loss, with and without pharmacotherapy. Based on this new information, Dr Caterson suggested there may be potential to reconsider the use of the drug given the few obesity drugs currently available. In addition to drugs, there was an interesting talk by Michael Rosenbaum, MD (Columbia University, New York, NY, USA), about the importance of not only losing weight, but also preventing weight regain. He pointed out that the available data suggest long-term weight loss maintenance is only successful 5.9–20% of the time. Notably, Dr Rosenbaum pointed out that the amount of weight loss did not predict the likelihood of successful weight loss maintenance. Part of the difficulty with sustaining weight loss is that following weight loss individuals enter a hypometabolic state: they expend less energy than expected at their new weight due, in part, to increased muscle efficiency. Dr Rosenbaum noted that energy expenditure will drop by approximately 22% (∼300–500 kcal/day) with every 10% decrease in caloric intake.7,8 Thus, in order to maintain a lower weight, individuals must eat even less or exercise more to make up for the observed decline in non-resting energy expenditure. Given the difficulty of maintaining weight loss and the low success rate of weight loss maintenance, Dr Rosenbaum noted that there remains much room for innovation of therapeutics in this area. One last presentation of note that we attended was delivered by Tiphaine Le Roy, PhD (MICALIS, Jouy en Josas, France), on the role of gut microbiota in the development of obesity, type 2 diabetes, and non-alcoholic fatty liver disease. She highlighted the results from a study that transplanted the gut microbiota from either mice that responded to a high-fat diet (exhibited increased insulin resistance and hepatic fat content) or mice that did not respond to a high-fat diet (gained weight but maintained normal glucose tolerance, insulin sensitivity, and hepatic fat content) into a group of germ-free mice. The results demonstrated a clear difference between mice (RR) transplanted with gut microbiota from responders (i.e. those gaining weight) and mice (NRR) that received microbiota from non-responders to a high-fat diet. More specifically, fasting glucose levels in NRR and RR mice were 100 and 140 mg/dL, respectively. Similarly, fasting insulin levels were 50% higher in the RR mice, homeostatic model assessment of insulin resistance (HOMA-IR) was double in RR mice, and hepatic steatosis only occurred in RR mice. Dr Le Roy concluded that the results suggest that gut microbiota play a causal role in the development of type 2 diabetes and hepatic steatosis in mice. However, whether these findings are translatable to humans remains unclear.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".