Lege Artis Medicinae

[A huge GIST]

KRUTSAY Miklós, CHANIS William

JUNE 20, 2010

Lege Artis Medicinae - 2010;20(06-07)

COMMENTS

0 comments

Further articles in this publication

Lege Artis Medicinae

[LAM Awards 2009]

Lege Artis Medicinae

[An Excellent Scientific Book]

LAKATOS Péter

Lege Artis Medicinae

[Our Monthly Contest – When the Surgeon is not a Barber Anymore...]

MEZÔVÁRI Gyula

Lege Artis Medicinae

[Thoughts About a Malpractice Decision]

DÓSA Ágnes

Lege Artis Medicinae

[The Oto-Rhino-Laryngology Aspects of George Washington’s Death]

GERLINGER Imre

All articles in the issue

Related contents

Lege Artis Medicinae

[Second game, 37th move and Fourth game 78th move]

VOKÓ Zoltán

[What has Go to do with making clinical decisions? One of the greatest intellectual challenges of bedside medicine is making decisions under uncertainty. Besides the psychological traps of traditionally intuitive and heuristic medical decision making, lack of information, scarce resources and characteristics of doctor-patient relationship contribute equally to this uncertainty. Formal, mathematical model based analysis of decisions used widely in developing clinical guidelines and in health technology assessment provides a good tool in theoretical terms to avoid pitfalls of intuitive decision making. Nevertheless it can be hardly used in individual situations and most physicians dislike it as well. This method, however, has its own limitations, especially while tailoring individual decisions, under inclusion of potential lack of input data used for calculations, or its large imprecision, and the low capability of the current mathematical models to represent the full complexity and variability of processes in complex systems. Nevertheless, clinical decision support systems can be helpful in the individual decision making of physicians if they are well integrated in the health information systems, and do not break down the physicians’ autonomy of making decisions. Classical decision support systems are knowledge based and rely on system of rules and problem specific algorithms. They are utilized widely from health administration to image processing. The current information revolution created the so-called artificial intelligence by machine learning methods, i.e. machines can learn indeed. This new generation of artificial intelligence is not based on particular system of rules but on neuronal networks teaching themselves by huge databases and general learning algorithms. This type of artificial intelligence outperforms humans already in certain fields like chess, Go, or aerial combat. Its development is full of challenges and threats, while it presents a technological breakthrough, which cannot be stopped and will transform our world. Its development and application has already started also in the healthcare. Health professionals must participate in this development to steer it into the right direction. Lee Sedol, 18-times Go world champion retired three years after his historical defeat from AlphaGo artificial intelligence, be­cause “Even if I become the No. 1, there is an entity that cannot be defeated”. It is our great luck that we do not need to compete or defeat it, we must ensure instead that it would be safe and trustworthy, and in collaboration with humans this entity would make healthcare more effective and efficient. ]

Clinical Oncology

[Current management of GIST]

LAKATOS Gábor, BODOKY György

[Gastrointestinal stromal tumors (GIST) are the most common mesenchymal tumors of the gastrointestinal tract. GISTs are generally resistant to chemotherapy and radiotherapy. The understanding of pathology at molecular level promised the development of novel treatment modalities. KIT and PDGFRA gene mutations play an important role in the pathogenesis of GIST. IMutational analysis should be considered as standard practice during the diagnostic work-up, since it has a predictive value for sensitivity to molecular-targeted therapy and also has prognostic value. The aim of this review is to summarize recent knowledge about diagnosis, treatment and follow up of GIST.]

Clinical Oncology

[Recent strategies in the chemoterapy of soft tissue tumors]

PÁPAI Zsuzsanna, KISS Nóra

[Conventional adjuvant therapy is, in most cases, either the well-known standard doxorubicin monotherapy or the combination of doxorubicin + ifosfamide. No clear guideline has been developed yet - adjuvant therapy is recommended in cases with high grade, larger than 10 cm, sarcoma, where surgery hasn’t been suffi ciently radical, and adjuvant radiotherapy may not be advisable. In locally advanced tumors, due to the requirements of limb salvage, isolated limb perfusion is recommended. As a new compound, hafnium-oxide nanoparticles (NBTXR3) can be useful in local therapy: combining intratumoral injection and radiotherapy may be a fl agship initiative, however further investigations are necessary. In the treatment of metastatic tumors, beside the standard methods, new, targeted treatments are becoming more and more prevalent: in leiomyosarcomas trabectedine, pazopanib and olaratumab; in liposarcomas trabectedine and eribulin; in synovial sarcomas pazopanib; and in imatinib-resistant GIST, sunitinib and regorafenib. Soft tissue sarcomas are rare tumors categorized as heterogeneous histological subtypes. In their treatment, it is key to customize the treatment based on these subtypes and interdisciplinary collaboration with the orthopedic surgeon, the pathologist and the radiotherapist to determine the suitable therapy for each individual.]

Lege Artis Medicinae

[Direct health care costs of diabetes mellitus in Hungary]

VOKÓ Zoltán, NAGYJÁNOSI László, KALÓ Zoltán

[INTRODUCTION - Diabetes mellitus is responsible for a huge burden of disease all over the world, including Hungary, as well. The object of our study was to estimate the direct health care costs of treating patients with diabetes, in order to characterize this aspect of the burden of disease, and to facilitate the use of this information in further analyses. METHODS - We used the data of the National Health Fund. Diabetic patients were defined as persons who filled in a prescription of oral antidiabetics (OAD) or insulin in the second half of 2007. We divided this study population into two groups depending on whether they were or were not hospitalised for major complications of diabetes in 2007-2008. The group that was not hospitalised was further divided into three subgroups according to the use of drugs (only OAD, only insulin, OAD and insulin). In all study groups, we estimated the mean, the standard deviation, and the median of health care costs for each cost item by age group in the whole study group and among those who actually used a particular service. Additionally, we took samples of patients who were hospitalised for specific complications, and estimated the health care costs for the first and for the second year after the occurrence of the complication. RESULTS - The mean health care cost of the 521,545 diabetic patients involved in the analysis was 335 thousand HUF. It was 633 thousand HUF for those who were hospitalised for complications, 242 thousand for OAD users without complications, and 449 thousand for insulin users without complications. 53% of the total cost covered drug treatment and 27% acute hospital treatment. 26% of the total drug cost was spent on OADs and on insulin. The acute hospital cost and the drug cost had multiplied within the first year of complication. The latter remained high or further increased in the second year. CONCLUSION - The healthcare cost of diabetes is already very high in Hungary, especially the care for its complications. Considering the burden of disease that manifests in premature mortality, reduction in quality of life, and high cost, and the epidemiological trends, diabetes mellitus should be a public health priority in Hungary.]

Clinical Neuroscience

[Pharmacological and nonpharmacological treatment of insomnias with regard to sleep medicine]

FALUDI Béla, ROZGONYI Renáta

[Insomnia - one of the most prevalent sleep complain - has a great impact on the everyday life. Basically two different form of insomnia can be defined: the insomnia disorder and the co-morbid insomnias. To treat adequately determination of background pathology is essential, which is based on the help of Sleep Medicine Centers. According to the newest guidelines, the treatment of insomnia disorder is based on cognitive behavioural therapies followed by pharmaceutical intervention. In this review we provide the short description of cognitive behavioural therapies and basic principles of hypnotic drugs. Despite the availability of insomnia guidelines the huge variation of the insomnia medication can be seen in the daily practice. Due to the above mentioned reasons we summarize the good clinical practice of hypnotic drug administration for insomnia patients.]