Randomized controlled trial.
About: This article is published in World Journal of Surgery.The article was published on 2005-07-01. It has received 12729 citations till now. The article focuses on the topics: Cluster randomised controlled trial & Randomized controlled trial.
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TL;DR: Understanding how to combine experimental and clinical science will provide further insight into atherosclerosis and could lead to new clinical applications.
Abstract: Atherosclerosis is a chronic disease of the arterial wall, and a leading cause of death and loss of productive life years worldwide. Research into the disease has led to many compelling hypotheses about the pathophysiology of atherosclerotic lesion formation and of complications such as myocardial infarction and stroke. Yet, despite these advances, we still lack definitive evidence to show that processes such as lipoprotein oxidation, inflammation and immunity have a crucial involvement in human atherosclerosis. Experimental atherosclerosis in animals furnishes an important research tool, but extrapolation to humans requires care. Understanding how to combine experimental and clinical science will provide further insight into atherosclerosis and could lead to new clinical applications.
3,214 citations
TL;DR: Overall, patients with dementia who lived at special care units (SCUs) showed a significantly more challenging behavior, more agitation/aggression, more depression and anxiety, more cases of global cognitive impairment and a better psychosocial functioning.
Abstract: Background: Special care facilities for patients with dementia gain increasing attention. However, an overview of studies examining the differences between care f
2,872 citations
TL;DR: The goal of this Consensus Statement is to engender appropriate use of the term 'prebiotic' by relevant stakeholders so that consistency and clarity can be achieved in research reports, product marketing and regulatory oversight of the category.
Abstract: With the continued interest in the role of the gut microbiota in health, attention has now turned to how to harness the microbiota for the benefit of the host. This Consensus Statement outlines the definition and scope of the term 'prebiotic' as determined by an expert panel convened by the International Scientific Association for Probiotics and Prebiotics in December 2016. In December 2016, a panel of experts in microbiology, nutrition and clinical research was convened by the International Scientific Association for Probiotics and Prebiotics to review the definition and scope of prebiotics. Consistent with the original embodiment of prebiotics, but aware of the latest scientific and clinical developments, the panel updated the definition of a prebiotic: a substrate that is selectively utilized by host microorganisms conferring a health benefit. This definition expands the concept of prebiotics to possibly include non-carbohydrate substances, applications to body sites other than the gastrointestinal tract, and diverse categories other than food. The requirement for selective microbiota-mediated mechanisms was retained. Beneficial health effects must be documented for a substance to be considered a prebiotic. The consensus definition applies also to prebiotics for use by animals, in which microbiota-focused strategies to maintain health and prevent disease is as relevant as for humans. Ultimately, the goal of this Consensus Statement is to engender appropriate use of the term 'prebiotic' by relevant stakeholders so that consistency and clarity can be achieved in research reports, product marketing and regulatory oversight of the category. To this end, we have reviewed several aspects of prebiotic science including its development, health benefits and legislation.
2,863 citations
TL;DR: Over time, marked improvements in accuracy, productivity, and workflow will likely be actualized, but whether that will be used to improve the patient–doctor relationship or facilitate its erosion remains to be seen.
Abstract: The use of artificial intelligence, and the deep-learning subtype in particular, has been enabled by the use of labeled big data, along with markedly enhanced computing power and cloud storage, across all sectors. In medicine, this is beginning to have an impact at three levels: for clinicians, predominantly via rapid, accurate image interpretation; for health systems, by improving workflow and the potential for reducing medical errors; and for patients, by enabling them to process their own data to promote health. The current limitations, including bias, privacy and security, and lack of transparency, along with the future directions of these applications will be discussed in this article. Over time, marked improvements in accuracy, productivity, and workflow will likely be actualized, but whether that will be used to improve the patient-doctor relationship or facilitate its erosion remains to be seen.
2,574 citations
Nagoya City University1, University of Tokyo2, Tokyo Medical and Dental University3, Hokkaido University4, Kyoto Prefectural University of Medicine5, Shinshu University6, Saitama Medical University7, Tottori University8, Kanazawa University9, Ehime University10, Hyogo College of Medicine11, Hitachi12, Yamaguchi University13
TL;DR: A genome-wide association study to null virological response (NVR) in the treatment of patients with hepatitis C virus (HCV) genotype 1 within a Japanese population is reported.
Abstract: Masashi Mizokami and colleagues report a genome-wide association study to hepatitis C treatment response in two Japanese cohorts. They report common variants at IL28B associated with sustained as well as null virologic response following pegylated interferon-alpha and ribavirin combined therapy.
2,097 citations
References
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TL;DR: It was showed that pre-incisional bupivacaine infiltration is an effective and simple method of reducing postoperative pain for patients undergoing appendectomy.
Abstract: Pain is the most undesirable and threatening experience for surgical patients. This study aims to determine the efficacy of pre-incisional analgesic bupivacaine infiltration (preemptive analgesia) on postoperative pain relief after appendectomy. A prospective randomized double-blinded study was conducted on 123 patients aged 13-45 years with a preoperative and-postoperative diagnosis of acute appendicitis admitted to Siriraj Hospital, Bangkok, from January to May 2002. They were randomly set into two groups: the control (61 patients) and the preemptive (62 patients). In the preemptive group, bupivacaine (Marcaine) was infiltrated into the skin and subcutaneous tissue along the proposed wound line before gridiron incision, and also into the muscle layer after incision. The control group received no injection. Routine appendectomy was done. Pain score was assessed by the patients in the first 48 hr while they were lying supine and as they moved to a sitting position at 24 and 48 hr after operation. Morphine injection was given on patients' request with pain score = 5 every 4 hr in the first 48 hr or until analgesic paracetamol could be taken orally. The pain score during the first 6, 12, 24, and 48 hr, including the score while sitting up, were all significantly lower ( p < 0.001) in the preemptive group. So were the total number of morphine injections and the amount of morphine used postoperatively. The pain reduction could be due to interruption of inflammatory or pain mediator cascades that normally occur during an operation. This study showed that pre-incisional bupivacaine infiltration is an effective and simple method of reducing postoperative pain for patients undergoing appendectomy.
61 citations
TL;DR: The CONSORT guidelines provide a coherent statement of standards for the practice and reporting of randomized trials and highlight the importance of the fundamental building blocks that minimize bias and provide the scientific rigor needed to make meaningful clinical inferences from trials.
Abstract: The recent publication of the Consolidated Standards of Reporting Trials (CONSORT) guidelines lines for the reporting of randomized trials [1] marks a welcome convergence of advice from the Standards of Reporting Trials (SORT) Group [2] and the Asilomar Working Group on Recommendations for the Reporting of Clinical Trials in the Biomedical Literature, which examine clinical efficacy [3]. Authors who submit papers to Annals are now being asked to adhere to the principles embodied in the sensible recommendations from these two similar but until recently largely independent projects [4]. The Lancet, JAMA, and BMJ are also adopting these recommendations. The goal of the guidelines is to improve the reporting of clinical trials. This, in turn, should enhance the interpretation and further analysis of the results of existing trials and encourage high standards in the design and conduct of future trials. The CONSORT guidelines provide a coherent statement of standards for the practice and reporting of randomized trials-a statement that is particularly welcome for its brevity and clarity. The recommendations highlight the importance of the fundamental building blocks that minimize bias and provide the scientific rigor needed to make meaningful clinical inferences from trials. These building blocks include adequately describing the hypotheses to be tested, the sample studied, and the process of randomization; accounting for all randomly assigned participants; and providing information on either primary end points for binary outcomes or estimates of mean and variance for continuous data. If widely implemented, the CONSORT guidelines should go far in minimizing the serious deficiencies, which are now well documented, in the design, analysis, and reporting of trials [5]. The purpose of CONSORT is to highlight these deficiencies and to help ensure that the reporting of trials provides clinicians, researchers, policymakers, and other persons who interpret trial findings with the required data [6]. The effects of many modern medical treatments are likely to be small, although potentially worthwhile, thereby making it necessary to randomly assign large numbers of patients. Although large (and expensive) single trials that address questions of clinical importance have sufficient statistical power to provide precise answers about treatment effect, such large trials remain scarce in many clinical areas. Meta-analyses that synthesize data from numerous, small, similar trials provide an alternative method with which to achieve the necessary statistical precision and may do so with increased generalizability [7]. But meta-analyses are only as good as the sample of trials they include [8]. Even with the most sensitive search strategies, however, it is almost inevitable that relevant trials-especially those that have not been published in journals-will be missed. Manuscripts that inadequately report trials only compound this deficiency because they are less likely to be published, thereby contributing to publication bias. If trials are omitted from a meta-analysis in a random manner, the results will be less precise than when all well-conducted trials are included. Such incomplete meta-analyses risk providing uncertain answers when more definite ones are potentially available from existing research. Moreover, when availability of data is affected by some systematic influence, such as the bias against publication of trials that do not show a statistically significant difference between treatment and control groups, the results of meta-analyses will reflect that bias. It is a relatively common practice to describe results as not significant and to provide no estimate of variance in trials in which only a small and uncertain effect is seen. On the other hand, reporting results adequately when trials detect effects that are statistically significant or of potential practical importance is also relatively common. Such inappropriate reporting practices may similarly introduce important biases into the results of meta-analyses. In addition, relevant data are frequently not available in published reports; for example, in a meta-analysis of published comparative trials of antidepressant drugs, primary outcomes were adequately reported in only 20 of 53 (38%) trials [9]. A strong case can be made to patients to participate in randomized trials [10]. However, this imperative is seriously undermined when data on the primary end points from existing trials are not made available to guide the design of future trials and the treatment of future patients. Even if the CONSORT recommendations are universally adopted, occasions will arise when reviewers will require unpublished data from trials (for example, in the analysis of rare events that are not considered to be primary outcomes in small trials and can only be handled appropriately in large overviews) or will wish to use individual patient data that may provide more precise and valid estimates of treatment effect [11, 12]. In such situations, funding bodies, including pharmaceutical companies, should make data available rather than withholding or obfuscating it on grounds of serving commercial or other interests. Given the potential importance of publication bias [5, 8, 13], this obligation should extend to unpublished trials and unpublished data from published trials. Many trials funded by the pharmaceutical industry fail to report valid data for further interpretation and analysis [9, 14]; in some instances, such trials may appropriately be considered marketing rather than science. To make efficient decisions about the use of health care interventions, policymakers and clinicians need to know about potential costs, as well as diagnostic and therapeutic effects [15]. There is a good case for including economic analyses alongside large, real world randomized trials [16]. Many mistakes can be made, however, in the course of designing, implementing, and reporting such analyses. The CONSORT guidelines clearly cannot solve all of the problems surrounding the conduct and reporting of clinical trials, but if the CONSORT checklist [1] included one additional line in its protocol section that read Planned economic analysis (if warranted) and provided a key reference (for example, Drummond and colleagues [17]), this area would be dealt with simply and adequately. A major challenge surrounding the CONSORT guidelines is implementation. Although these guidelines should improve the usefulness of trial reports in journals that formally adopt them, usefulness is more likely to be enhanced if editors request referees to review manuscripts with these reporting standards in mind. Some persons may see the suggested structure for a trial report as arbitrary and intrusive. For example, it is unclear why describing planned subgroup analyses or covariate analyses in the introduction is preferable to describing them in the methods section, which currently seems to be a common practice. In light of this concern, it may not be surprising that the lead author of a guinea pig paper that rigorously followed the earlier SORT guidelines described mixed feelings on the experience [18]. To those interested in interpreting results of trials for the benefit of patients, the availability of adequate descriptions of trials is what really matters; the precise location of data in reports is less important. If use of the CONSORT guidelines remains restricted to a few general journals of international prominence, their effect on most trials (the reports of which are primarily published in subspecialty journals) may remain limited. One potential way to augment their effect would be to convince prospective authors (as well as referees) of the value of the guidelines to influence the authors' decision about where to send their contributions. Another way would be to actively market the guidelines to journal editors through professional networks. Ultimately, randomized trials can only achieve appropriate changes in practice if their results are reported completely, systematically, and in adequate detail. The CONSORT guidelines bring this goal closer; they should be welcomed warmly.
60 citations