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ScienceDaily (Oct. 28, 2011) — Worldwide, there are more than 1.5 billion overweight adults, including 400 million who are obese. In Australia, it is estimated more than 50 per cent of women and 60 per cent of men are either overweight or obese. Although restriction of diet often results in initial weight loss, more than 80 per cent of obese dieters fail to maintain their reduced weight. Obese people may regain weight after dieting due to hormonal changes, a new study has shown.

The study involved 50 overweight or obese adults, with a BMI of between 27 and 40, and an average weight of 95kg, who enrolled in a 10-week weight loss program using a very low energy diet. Levels of appetite-regulating hormones were measured at baseline, at the end of the program and one year after initial weight loss.

Results showed that following initial weight loss of about 13 kgs, the levels of hormones that influence hunger changed in a way which would be expected to increase appetite. These changes were sustained for at least one year. Participants regained around 5kgs during the one-year period of study.

Professor Joseph Proietto from the University of Melbourne and Austin Health said the study revealed the important roles that hormones play in regulating body weight, making dietary and behavioral change less likely to work in the long-term.

“Our study has provided clues as to why obese people who have lost weight often relapse. The relapse has a strong physiological basis and is not simply the result of the voluntary resumption of old habits,” he said.

Dr Proietto said although health promotion campaigns recommended obese people adopt lifestyle changes such as to be more active, they were unlikely to lead to reversal of the obesity epidemic.

“Ultimately it would be more effective to focus public health efforts in preventing children from becoming obese.”

“The study also suggests that hunger following weight loss needs to be addressed. This may be possible with long-term pharmacotherapy or hormone manipulation but these options need to be investigated,” he said.

The study was done in collaboration with La Trobe University. It was published in the New England Journal of Medicine.

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The above story is reprinted from materials provided by University of Melbourne.

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Journal Reference:

  1. Priya Sumithran, Luke A. Prendergast, Elizabeth Delbridge, Katrina Purcell, Arthur Shulkes, Adamandia Kriketos, Joseph Proietto. Long-Term Persistence of Hormonal Adaptations to Weight Loss. New England Journal of Medicine, 2011; 365 (17): 1597 DOI: 10.1056/NEJMoa1105816

Note: If no author is given, the source is cited instead.

Disclaimer: This article is not intended to provide medical advice, diagnosis or treatment. Views expressed here do not necessarily reflect those of ScienceDaily or its staff.

Article source: http://www.sciencedaily.com/releases/2011/10/111028142504.htm

ScienceDaily (Oct. 31, 2011) — A computer-based tool could help GPs to speed up the diagnosis and treatment of patients suffering from two of the most common forms of cancer, potentially saving thousands of lives every year.

Researchers at The University of Nottingham and ClinRisk Ltd have shown that the algorithm is successful in identifying those suffering with gastro-esophageal cancer and lung cancer at an earlier stage by ‘red-flagging’ potentially worrying combinations of symptoms and risk factors.

Their results, published in the British Journal of General Practice on October 31, showed that the 10 per cent of the patients that the algorithm predicted as most at risk of developing one of the two diseases accounted for 77 per cent of all the gastro-esophageal and lung cancers diagnosed over the following two years.

The research was led by Professor Julia Hippisley-Cox, in the University’s Division of Primary Care. She said: “Earlier diagnosis of cancer is a major challenge and we hope this new research will help doctors identify patients for earlier referral and investigation.”

The tool could help GPs to improve their record on early diagnosis in line with current Government policy and the National Awareness and Early Diagnosis Initiative (NAEDI) — a public sector/third sector partnership between the Department of Health, National Cancer Action Team, and Cancer Research UK. Evidence suggests that simply raising awareness of symptoms and speeding up diagnosis could save 5,000 lives a year without any new advances in medicine.

Two simple web calculators have been produced — one for lung cancer (www.qcancer/lung) and the other for gastro-esophageal cancer — which are designed for use by doctors but a simpler version could also be made available on the internet to raise awareness among the general public and to prompt patients with high risk factors or symptoms to seek advice from their doctor.

Lung cancer is the most common cancer worldwide, with 1.3 million new cases diagnosed every year. It has one of the lowest survival rates because two-thirds of patients are diagnosed too late to be successfully treated.

It presents a huge challenge for family physicians because the symptoms can be common and non-specific. While smoking is a well-known risk factor, evidence suggests that other factors including age, social deprivation, and chronic obstructive airways disease also have an important part to play.

The presence of the disease can be indicated by ‘red flag’ symptoms such as new onset of coughing, coughing up blood (haemotypsis), weight loss, loss of appetite and anemia. Currently, doctors focusing on just one of these symptoms without taking into account other risk factors are likely to miss 80 per cent of current lung cancer cases.

Similarly, gastro-esophageal cancer is one of the most common cancers worldwide and earlier diagnosis could improve treatment options and improve five-year survival.

Alarm symptoms for gastro-esophageal cancer include vomiting blood (haematemesis), difficulty swallowing (dysphagia), appetite loss, weight loss, or abdominal pain but focusing on one symptom alone in diagnosis can mean that up to 40 per cent of cases are missed. Other underlying factors which could also alert doctors to patients at risk include heavy smoking.

The study aimed to develop and test the success of a computer algorithm that would incorporate both the symptoms and underlying risk factors of patients to flag those in need of urgent investigation or referral.

It used 375 general practices in the UK already using the QResearch® database system — a not-for-profit partnership between The University of Nottingham and leading GP systems supplier EMIS — to collect anonymised patient information.

It included patients aged 30 to 84 years who were free from a diagnosis of the cancers at the start of the study. For lung cancer it ruled out those patients who had previously seen their GPs within the previous 12 months with symptoms of coughing up blood, loss of appetite or weight loss, while the gastro-esophageal study looked at those patients at the beginning of the study free from difficulty swallowing, vomiting blood, abdominal pain, appetite loss or weight loss.

The study then identified those patients with the highest associated risk factors for the cancers to predict which were most likely to develop the disease and then validated their results by looking at which patients had been diagnosed with the cancers at the end of two years.

The study found that the new algorithm worked so well it could identify 10 per cent of the population in which around 77 per cent of all new cases of cancer arose over the two years.

The algorithm could be incorporated into existing GP computer records to alert doctors to patients who are potentially at a higher risk of developing the diseases.

In the case of the lung algorithm, it could also be used to inform National Institute of Clinical Excellence (NICE) guidelines on investigation and referral of patients with suspected cancer. For example, NICE guidance recommends an urgent referral for a chest x-ray for patients with persistent symptoms such as coughing up blood, chest pain, shortness of breath, cough or weight loss but not for appetite loss, despite the fact that the study showed that patients with this symptom is four or five times more likely to develop the cancer.

Dr Clare Gerada, Chair of the Royal College of General Practitioners thatpublishes the BJGP, said: “The University of Nottingham studies will create great excitement for those of us working in primary care. Early diagnosis has a huge impact on the treatment and survivorship of patients with lung and stomach-related cancers. Incorporating this simple calculation into the consultation could give GPs a two-year headstart on investigation and treatment, with the potential to save thousands of lives.

“This is exactly the sort of research that the British Journal of General Practice was set up to highlight — practical measures that GPs can take to improve the care they give to their patients. The publication of these vitally important studies by Professor Julia Hippisley-Cox, Dr Carol Coupland and their colleagues could prove a defining moment for cancer diagnosis. I hope the Department of Health and others will take heed.”

Similar QResearch® tests have already proven effective in previous research in identifying patients at most risk of developing heart disease, fracture, kidney disease and serious blood clots.

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The above story is reprinted from materials provided by University of Nottingham.

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Journal References:

  1. Julia Hippisley-Cox, Carol Coupland. Identifying patients with suspected gastro-oesophageal cancer in primary care: derivation and validation of an algorithm. British Journal of General Practice, 2011; 61 (592): 707 DOI: 10.3399/bjgp11X606609
  2. Julia Hippisley-Cox, Carol Coupland. Identifying patients with suspected lung cancer in primary care: derivation and validation of an algorithm. British Journal of General Practice, 2011; 61 (592): 715 DOI: 10.3399/bjgp11X606627

Note: If no author is given, the source is cited instead.

Disclaimer: This article is not intended to provide medical advice, diagnosis or treatment. Views expressed here do not necessarily reflect those of ScienceDaily or its staff.

Article source: http://www.sciencedaily.com/releases/2011/10/111031114805.htm

ScienceDaily (Dec. 14, 2011) — A simple online calculator could offer family GPs a powerful new tool in tackling two of the most deadly forms of cancer, say researchers.

Academics from The University of Nottingham and ClinRisk Ltd have developed two new QCancer algorithms, which cross-reference symptoms and risk factors of patients to red flag those most likely to have pancreatic and bowel cancer, which could help doctors to diagnose these illnesses more quickly and potentially save thousands of lives every year.

Leading the research, Professor Julia Hippisley-Cox in the University’s Division of Primary Care, said: “We hope these new tools will help GPs with the difficult task of identifying patients with suspected cancer earlier and that this in turn could help improve treatment options and outcomes for patients.”

Pancreatic cancer, which affects more than 8,000 people in the UK every year, has the worst survival rate for any cancer — almost three-quarters of patients die within a year of diagnosis. Catching the disease in the early stages can offer a more optimistic prognosis for patients — however, with very few established risk factors and no reliable screening test available, it is also one of the toughest cancers for GPs to spot.

The research, published in the January edition of the British Journal of General Practice (BJGP), used patient data from 564 GPs practices to develop the algorithm and test its success at predicting which patients were likely to have pancreatic cancer, based on a combination of symptoms such as weight loss, appetite loss, and abdominal pain and risk factors such as age, chronic pancreatitis, smoking and diabetes.

It was successful in predicting 62 per cent of all pancreatic cancers diagnosed over the following two years which were in the top 10 per cent of patients predicted to be most at risk.

Colorectal cancer, or bowel cancer, is the second most common cancer in Europe as well as the second most common cause of cancer-related death. In the UK, 16,500 people die every year from bowel cancer and 36,000 people develop the disease. The UK has one of the poorest survival rates for bowel cancer in Europe, which is thought to be largely due to late presentation, delays in diagnosis and delays in treatment. Swift diagnosis can make all the difference — among patients where the disease is diagnosed early, the five year survival rate can be as high as 90 per cent.

Many of the major symptoms, such as rectal bleeding, weight loss, appetite loss, diarrhea, constipation or abdominal pain are very common and can more often be linked to other less serious conditions, presenting GPs with a diagnostic challenge.

Based on using single ‘red flag’ symptoms such as rectal bleeding, doctors could miss 60 per cent of current bowel cancers.

For the research, published in the same edition of the BJGP, academics used anonymous data from the same 564 GP surgeries to develop and test the colorectal cancer algorithm by looking at a combination of risk factors, including age, family history of bower cancer, anemia, symptoms including rectal bleeding, abdominal pain, appetite loss, weight loss, diarrhea and changes in bowel habits. The researchers also took into account the different risks affecting men and women.

The study found that the algorithm was very successful in spotting which patients would be most likely to develop bowel cancer over the following two years — 70 per cent of all bowel cancer patients subsequently diagnosed were in the top 10 per cent of patients predicted to be most at risk, The two studies used the anonymous data of patients aged between 30 and 84 years old who were all free from diagnosis or symptoms of the two cancers over the previous 12 months. The GPs’ practices were all contributing to the QResearch® database system — a not-for-profit partnership between The University of Nottingham and leading GP systems supplier EMIS.

The new algorithms for pancreatic and bowel cancer could be incorporated into existing GP computer systems to alert doctors to patients who are potentially most at risk of developing the diseases.

They could support the work of GPs in reducing diagnosis times in line with current Government policy and the National Awareness and Early Diagnosis Initiative (NAEDI) — a public/third sector partnership between the Department of Health, National Cancer Action Team and Cancer Research UK. Evidence suggests that simply raising awareness of symptoms and speeding up diagnosis could save 5,000 lives per year without any new advances in medicine.

The study has resulted in two simple web calculators — one for pancreatic cancer (http://www.qcancer.org/pancreas/) and one for bowel cancer (http://www.qcancer.org/colorectal) — which are designed for doctors but a simpler version could also be made available on the internet to raise awareness among the general public and to prompt patients with risk factors or symptoms to seek advice from their doctor.

Similar QResearch® scores have already proven effective in previous research in identifying patients at most risk of developing lung cancer, gastro-esophageal cancer, heart disease, type 2 diabetes, fractures, kidney disease and serious blood clots.

Dr Clare Gerada, Chair of the Royal College of General Practitioners, which publishes the BJGP, said: “Early diagnosis, and access to appropriate diagnostic tests and tools, can make an enormous difference to the treatment and outcomes of patients with cancer and this new calculator, which is concerned with two of the most deadly forms of cancer, has the potential to save many lives.

“Professor Hippisley-Cox and her colleagues at The University of Nottingham are leading the way in devising simple but effective ways to help GPs speed up and improve their identification and diagnosis of cancer, and they should be rightly proud of this new research.

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Story Source:

The above story is reprinted from materials provided by University of Nottingham.

Note: Materials may be edited for content and length. For further information, please contact the source cited above.


Note: If no author is given, the source is cited instead.

Disclaimer: This article is not intended to provide medical advice, diagnosis or treatment. Views expressed here do not necessarily reflect those of ScienceDaily or its staff.

Article source: http://www.sciencedaily.com/releases/2011/12/111214094847.htm