[Up until now, angiotensin-receptor blockers have been considered to be the safest cardio-, cerebro-, reno- and vasculoprotective drugs. In a previous metaanalysis, ARBs were accused of increasing the risk of myocardial infarction, but a number of metaanalyses and randomised, controlled trials have disproved this hypothesis. In a recent metaanalysis, ARBs were associated with an increased risk of tumours. The author reviews this issue, discusses the flaws of the above metaanalysis and, on the basis of the most up-to-date data in the literature, expert opinions and official statements (FDA, EMA), concludes that members of this drug class should continue to be used according to their approved indications, which is supported by their cardio-, reno-, cerebro- and vasculoprotective effects demonstrated in a number of appropriate, large-scale clinical studies.]

Myasthenia gravis (MG) is an autoimmune disorder of neuromuscular transmission. Autonomic dysfunction is not a commonly known association with MG. We conducted this study to evaluate autonomic functions in MG & subgroups and to investigate the effects of acetylcholinesterase inhibitors. This study comprised 30 autoimmune MG patients and 30 healthy volunteers. Autonomic tests including sympathetic skin response (SSR) and R-R interval variation analysis (RRIV) was carried out. The tests were performed two times for patients who were under acetylcholinesterase inhibitors during the current assessment. The RRIV rise during hyperventilation was better (p=0.006) and Valsalva ratio (p=0.039) was lower in control group. The SSR amplitudes were lower thereafter drug intake (p=0.030). As much as time went by after drug administration prolonged SSR latencies were obtained (p=0.043).Valsalva ratio was lower in the AchR antibody negative group (p=0.033). The findings showed that both ocular/generalized MG patients have a subclinical parasympathetic abnormality prominent in the AchR antibody negative group and pyridostigmine has a peripheral sympathetic cholinergic noncumulative effect.

[Hungarian professional periodicals started quite late in European context. Their publish­ing, editing and editorial philosophy were equally influenced by specific historical and political situations. Certain breaking points of history resulted in termina­tion of professional journals (War of In­de­pendence 1848-1849, First and Se­cond World Wars), however there were pe­riods, which instigated the progress of sciences and founding of new scientific journals. Both trends were apparent in years after the fall of former Hungarian regime in 1990. The structure of book and journal publishing has changed substantially, some publishers fell “victim” others started successfully as well. The latters include the then-established publishing house Literatura Medica and its own scientific journal, Lege Artis Me­di­cinae (according to its subtitle: New Hun­garian Medical Herald) issued first in 1990. Its appearance enhanced significantly the medical press market. Its scientific publications compete with articles of the well-established domestic medical journals however its philosophy set brand-new trends on the market. Concerning the medical community, it takes on its problems and provides a forum for them. These problems are emerging questions in health care, economy and prevention, in close interrelation with system of public health institutions, infrastructure and situation of those providing individual health services. In all of them, Lege Artis Medicinae follows consequently the ideas of traditional social medicine.]

[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. ]