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M Cucherat

Publications and source records attributed to M Cucherat.

53 records · Page 3Linked to original sources

EasyMA: a program for the meta-analysis of clinical trials.

Meta-analysis of clinical trial data is an increasingly important method in clinical research, particularly in the field of therapeutic evaluation. This method uses some specific statistical techniques which are not all available on standard packages and therefore require specific developments. This paper describes a program designed to help medical researchers perform meta-analyses of clinical trial data with dichotomous outcomes. This program includes the various statistical methods of meta-analysis and enables cumulative meta-analysis and sub-groups to be performed. A robustness index can be determined and the results obtained in table and graphic formats. Data-editing and data-manipulating facilities are also possible. Much care has been taken to make the user interface as user-friendly as possible, so that the program is within the reach of all medical researchers.

Biometry↗

Standardization of terminology in meta-analysis: a proposal for working definitions.

In this paper we present a brief overview of the growing concern to standardize definitions and terminology in meta-analysis. This tool has become inescapable in both drug research and therapeutic evaluation. The performed and published meta-analyses are increasing, as well as the variation in the meaning of the terms used in meta-analysis. In the second part of the paper we propose glossary of the most common terms used in reports of meta-analyses. The glossary has been written by only one group of scientists, the definitions are therefore proposed to the scientific community as working definitions, to be subject to reactions from leaders in meta-analysis.

Clinical Trials as Topic↗

Effects on bone mass of long term treatment with thyroid hormones: a meta-analysis.

Osteoporosis is the main cause of spine and hip fractures. Morbidity, mortality, and costs arising from hip fractures have been well documented. Thyroid hormones (TH) are widely prescribed, mainly in the elderly. Some studies (but not all) found a deleterious effect of suppressive TH therapy on bone mass. These conflicting data raised a controversy as to the safety of current prescribing and follow-up habits, which, in turn, raised major health-care issues. To look for a detrimental effect on bone of TH therapy, we performed a meta-analysis (by pooling standardized differences, using a fixed effect model) of all published controlled cross-sectional studies (41, including about 1250 patients) concerning the impact of TH therapy on bone mineral density (BMD). Studies with women receiving estrogen therapy were excluded a priori, as were studies with a high percentage of patients with postoperative hypoparathyroidism, when no separate data were available. We decided to stratify the data according to anatomical site, menopausal status, and suppressive or replacement TH therapy, resulting in 25 meta-analysis on 138 homogeneous subsets of data. The main sources of heterogensity between studies that we could identify were replacement or suppressive TH therapy, menopausal status, site (lumbar spine, femoral neck, Ward's triangle, greater trochanter, midshaft and distal radius, with various percentages of cortical bone), and history of hyperthyroidism, which has recently been found to impair bone mass in a large epidemiological survey. To improve homogeneity, we excluded a posteriori 102 patients from 3 studies, who had a past history of hyperthyroidism and separate BMD data, thus allowing assessment of the TH effect in almost all 25 subset meta-analyses. However, controls were usually not matched with cases for many factors influencing bone mass, such as body weight, age at menarche and at menopause, calcium dietary intake, smoking habits, alcohol intake, exercise, etc. For lumbar spine and hip (as for all other sites), suppressive TH therapy was associated with significant bone loss in postmenopausal women (but not in premenopausal women), whereas, conversely, replacement therapy was associated with bone loss in premenopausal women (spine and hip), but not in postmenopausal women. The detrimental effect of TH appeared more marked on cortical bone than on trabecular bone. Only a large long term prospective placebo-controlled trial of TH therapy (e.g. in benign nodules) evaluating BMD (and ideally fracture rate) would provide further insight into these issues.

Adult↗

[Introduction to meta-analytic methodology].

General considerations about meta-analysis and the different steps of this technique are successively discussed: definition of the main objective, identification of the outcome, description of the retrieval and selection of trials, description of the statistical analysis and interpretation of the results. Advantages and drawbacks of the meta-analytical technique are then described: 1) scientific approach, possible quantification of the therapeutic effect, increase of the power of a future clinical trial, synthesis of contradicting results, assessment of the homogeneity, subgroup analysis, analysis of sensibility, scientific collaboration, help for therapeutic information. 2) retrospective approach, inconsistency among trials, potential biases, persistence of some unsolved methodological problems, difficulties for a critical reading and for the interpretation of conclusions. In addition, some examples of published meta-analyses are given to illustrate the advantages and limits mentioned above.

Humans↗

Use of a spreadsheet program for circadian analysis of biological/physiological data.

Biological/physiological data sampled over a period of 24 h can be subjected to a mathematical analysis to determine the presence of circadian rhythmicity. Several procedures have been proposed, most being complex. To render such an analysis simpler and easy to use by non-mathematicians, we developed and tested the cosinor technique using a commonly available commercial spreadsheet (Excel). It can be used to analyze equally or unequally time-spaced data over 24 h with missing data, as well as to calculate the significance and the main limit of the resultant circadian rhythm (mesor, amplitude, acrophase and their confidence limits). Examples of its application to hourly samples of plasma cortisol and minute-by-minute rectal temperatures are shown.

Body Temperature↗

[Economic evaluation of treatments of cardiac insufficiency].

The objective of classical treatments of cardiac failure (diuretics, digitalis) was to relieve patients' symptoms. Vasodilators and ACE inhibitors also improve morbidity and mortality. The introduction of the latter class of drugs for cardiac failure will, however, lead to a significant increase in the cost of medication at national level. These costs may increase even further in theory due to a predictable increase in the number of patients with cardiac failure (ageing of the general population, improved survival of cardiac patients) and due to the extension of prescription of these drugs to populations of subjects with cardiac failure hitherto relatively undertreated. On the other hand, economies may be realised in the management of cardiac failure related to fewer and shorter hospital admissions and reduced indirect costs or to the suppression of previous, less useful drugs (calcium antagonists, digitalis). Cost-effective analyses with ACE inhibitors carried out in different countries (Canada, netherlands) tend to show that the costs induced by prescription of these drugs are more than compensated by the economies realised by the reduction in hospital admissions. This is even more marked in the treatment of patients with severe cardiac failure. In subjects at low risk, the prescription of ACE inhibitors would not seem to be justified from both the clinical and economic points of view. It is up to each physician to decide the threshold of basic risk below which this treatment becomes "economically" acceptable.

Angiotensin-Converting Enzyme Inhibitors↗

[Meta-analysis of therapeutic trials of primary prevention in ischemic cardiopathies by hypocholesteremic treatment].

The prevention of lipid-related coronary risk by lipid lowering drugs or diet has been the object of several therapeutic trials. This meta-analysis comprises the 6 available primary prevention trials (representing 30,695 subjects). There was an overall reduction of non-lethal infarcts (-26%) and coronary events (-18%) in the treatment groups. There was a tendency to less coronary deaths (-10%), though not statistically significant, and no difference in mortality due to all causes was observed. Some questions remain unanswered about the fact that the reduced incidence of ischaemic heart disease did not affect global mortality. This fact could be explained by an inadequate duration of treatment or follow-up, to an effect limited to chronic infarction or to eventual unidentified adverse effects (the meta-analysis does not show any significant differences in mortality due to cancer or accidental death).

Anticholesteremic Agents↗

[The problem of therapeutic efficacy indices. 1. Elements of the problem].

Efficacy indices measure the efficacy of therapies. They derive, by definition, from two quantities, the basal or control risk of event, Rc, observed in the control group, and the on-treatment risk, Rt, observed in the treated group. In clinical trials and meta-analyses, each is an unbiased measure of efficacy. Although they are a combination of frequencies, these indices are used in clinical practice to predict the benefit in treated patients. Their relevance to express efficacy depends on the type of clinical condition, and is better for acute diseases than for chronic diseases. In order to be useful for prescribers, they should meet certain specifications. In addition, they should be considered in the more general framework of effect models.

Clinical Trials as Topic↗

[The problem of therapeutic efficacy indices. 2. Description of the indices].

The four indices for a binary outcome or therapeutic objective are: the odds ratio, the relative risk, the absolute benefit and the number of patients to treat. For a continuous outcome, the effect size is the best choice. The odds ratio approximates the relative risk. The difference may be large in some instances. The number of patients to treat is the reciprocal of the absolute benefit. Although they are built on the same two quantities, they are not interchangeable and should not be considered in the same way. Moreover, their meaning is not straightforward and they can be misused.

Clinical Protocols↗

[Outline of the problem of indices of therapeutic efficacy. 4. Expression of efficacy when the underlying illness is incurable. Study Group for the Indices of Efficacy].

In chronic illness, when death or a non-fatal event can occur at any time, the current efficacy indices are no longer appropriate to express the effect of the treatment on the potential therapeutic objectives. The inappropriateness is not dependent on the effect model. Clues for solutions are proposed.

Chronic Disease↗

[The problem of therapeutic efficacy indices. 3. Comparison of the indices and their use].

Efficacy indices do not contain the same information although they are all combinations of the same two quantities. Therefore, one should choose the proper index. Actually, none is entirely appropriate. Each more or less meets the specifications, depending on the underlying effect model for the therapy considered. However, one can say that the absolute benefit is more appropriate from the patient's point of view, the relative from the scientific point of view and the number of patients to treat from the policy maker's point of view. Nevertheless, this classification needs to be considered with caution. Finally, it emerges from the review that none is fully relevant to express the efficacy of a therapy, even in the most suitable condition, the acute illness.

Drug Evaluation↗

Critical reading of the meta-analysis of clinical trials.

In this paper we shall present the general principles of meta-analysis and will then discuss the various factors needed to evaluate a meta-analysis: description of the problem; definition of the outcome(s) (primary and secondary); methods for identifying and selecting trials for inclusion; statistical methods used; and the presentation and discussion of the results. We shall then examine other problems such as the detection of bias, the validity of the information provided by the meta-analysis, the problem of heterogeneity, the sensitivity and robustness of the meta-analysis, quality criteria for a meta-analysis, and how to locate published meta-analyses. Finally we present a decision algorithm which should help answer the question: should and can the results from the meta-analysis be integrated into clinical practice?

Bias↗

[Integratable message: central problem of communication for therapeutic information].

The aim of therapeutic information is that people who need it have access to data of the highest level of evidence. In this context, a message is defined as the medium of information. The conditions for an ideal message to the prescriber are described: its content, the qualities it must meet, and the functional issues it will tackle. An example illustrates the importance of the form of a message. The difference between recommendation and message is highlighted.

Drug Information Services↗

[Meta-analysis of therapeutic trials: applications in psychiatry].

Meta-analysis is being increasingly used in therapeutic and clinical research to synthetize data from terminated clinical trials. Meta-analysis provides a powerful tool to objectively combine data in a quantitative manner, unlike the classical general review of literature, which is qualitative and subjective by definition, and thus not reproducible, and also the simple data pooling, methods which neglects the statistical heterogeneity between studies. The two most known objectives of meta-analysis are, to provide an objective decision when the trial results have produced contradictory or non-significant results, and to give a better estimation of the magnitude of the treatment effect. Precise methodological rules must be followed, but these rules are not known well enough in the scientific community. For example, particular care is necessary for the retrieval and selection of the trials: all available trials which satisfy predefined criteria of methodological validity should be taken into consideration. One of the main pitfalls in meta-analysis is the problem of unpublished trials, which represents a potential bias seen as an overestimation of treatment effect. In psychiatry, the applications of meta-analysis are numerous, especially in the domain of the treatment of depressive disorders, which will be developed in this paper. Several meta-analyses have been performed to assess the efficacy of antidepressants in major depression, especially with the "new antidepressants", which include the specific serotonine reuptake inhibitors (SSRIs). To date, these meta-analyses have shown that the main advantage of SSRIs was that they were better accepted, but without being more efficacious compared with classic antidepressants. The results of several of these meta-analyses are to be interpreted with the potential biases in mind, especially the publication bias and selection bias. Clinicians must be aware of the difficulties encountered in the choice of outcome criteria, and in deciding how to deal with patients that withdraw from treatment early (intention to treat analysis is the least biased solution for this problem.). Meta-analysis can therefore be helpful in establishing medical references in psychiatry, and to organize consensus conferences, but the limits of this method must be clearly recognized.

Antidepressive Agents, Second-Generation↗

[Effect models and meta-analysis].

The effect models are defined as the simple or complex relation that the risk in the treatment group follows when the risk in the control group varies. The standard statistical methods of meta-analysis are based on simple effect models. The use of these methods could induce inaccurate or erroneous results in more complex situations. In this case, it is necessary to adopt a more appropriate effect model, such as the linear effect model. The properties of this kind of model allow the possibility that a treatment can be beneficial and harmful at the same time, in function of the risk without treatment. From this observation, it is advisable to be careful with the use of simple effect models in meta-analysis which can submerge interesting information in the synthesis.

Drug Therapy↗

[Role of meta-analysis in the definition of target population in therapy].

The efficacy of a drug is a quantitative concept rather than a qualitative one. This quantity is expressed by several efficacy indices. None of them meet all the requirements. However, that of absolute benefit is especially suitable for the patients because it tells them the exact gain they can expect from taking the treatment. The absolute benefit varies according to patients' profiles because it interacts with some components of these profiles. In theory, such interactions can be used to predict the size of the absolute benefit for each patient, as well to describe better than with the current tools the therapy target population. We explain why meta-analysis and effect models are means of improving the prediction of the size of the effect and the definition of the therapy target population.

Drug Therapy↗

[Nifedipine and coronary insufficiency: reasons for controversy].

Meta-analyses of Furberg's original data (after correction of two minor errors) were performed using six different methods. Only three of them gave significant results at p < 0.05. The sensitivity analysis showed that taking into account some of the criticisms applied to the original meta-analysis did not change the results. When all the criticisms were considered together, the 95 per cent confidence interval of the odds ratio for mortality was [0.96; 1.31] instead of [1.06; 1.37] originally (p = 0.14 and p = 0.03 respectively), and the dose excess mortality relationship stressed by Furberg disappeared. When the selection of the studies to be entered in a meta-analysis is not straightforward, a sensitivity analysis should be performed.

Angina Pectoris↗