TrialResults-center is the first resource to provide immediate access to morbid-mortality clinical trials results direct to your PC.

The TrialResults-center Database provides a unique view of the treatment efficacy based on all data provided directly from landscape clinical trial results, offering a valuable alternative to personal bibliographic search, published meta-analysis, etc.

The number of clinical trials published each year in cardiology continues to grow, making it unwieldy and time-consuming to stay on top of advances, especially those in adjacent fields. TrialResults-center saves you time by identifying the randomized clinical trials and providing rigorous assessment and results synthesis that show the key findings and the clinical impact of these trials.

TrialResults-center can streamline the process of researching facts about treatment efficacy, finding completed and ongoing clinical trials, and accessing the latest information on treatment efficacy. Whether you're a researchers, allied health professionals, physicians, TrialResults-center can save you time and money, giving you access to valuable information available from no other source.

This is a public and non-profit service. Users from all over the world have free access to the complete database information.

TrialResults-center was created and is currently being maintained by Dr Michel Cucherat

TrialResults-center content

TrialResults-center provides up-to-date information about morbid-mortality clinical trials results in cardiology. Trials about surrogate endpoint or biomarkers are not primarily covered by TrialResults-center. Some trials of these type are however present into the database but only for the topics where landscape trials exist and when their are giving data from clinical endpoint.

Here you will find the list and short description of all randomized clinical trials performed for all the major heart and vessels diseases. You can also access to synthesis of their results by meta-analysis for relevant clinical endpoints


TrialResults-center helps you to navigate the vast amount of clinical trials by selecting and summarizing the trials that influence your specialty, enabling you to stay on top of the most significant developments in cardiological therapeutic quickly and easily.

TrialResults-center publications


Cucherat M. TrialResults-center: a web-based clinical trial results database providing dynamic systematic reviews and meta-analysis of clinical trials in cardiology. ACC Poster Contributions. J. Am. Coll. Cardiol. 2010;55;A132.E1239.

Cucherat M. TrialResults-center: a web-based clinical trial results database given a direct access to the systematic review and meta-analysis of all clinical trials in cardiology. XXes Journées Européennes de la Société Française de Cardiologie.  Archives of Cardiovascular Diseases Supplements; 2010:2:18

TrialResults-center methods

Meta-analysis’ method is used to populate TrialResults-center. TrialResults-center is continually updated on a weekly basis. We continually search all new results (whatever their publication channel: presentation at a meeting, publication, register) and these news results are immediately added to the database with a maximum of 1 week.

Search methods for identification of studies

Several methods are used to ensure that all relevant literature, both published and unpublished, is identified. First, relevant electronic databases (Medline, Embase, Cochrane CDSR) are systematically searched using appropriate, comprehensive search strategies.

Second, the reference lists of all selected articles are reviewed.

Internet is searched for information on recent, ongoing, or unpublished trials. In addition, the following electronic registers are examined for relevant clinical trials: NCT, ISRCTN, WHO register.

The database is updated each day. A new result (published or only communicated at a meeting) is integrated into the database as fast as possible.

Search strategies are weekly performed to detect as soon as possible all news randomized trial results.

Data extraction

Data are extracted from the included studies using a standard form. The following information are collected:

  1. study characteristics (e.g., design, method of randomisation, blinding status, withdrawals/dropouts, source of funding, intention-to-treat analysis);
  2. participant characteristics (e.g., age, sex, initial disease severity, disease history);
  3. method of selecting subjects;
  4. intervention and control (type, dose, route of administration, total dose administered, washout period for crossover trials);
  5. co-interventions;
  6. efficacy outcomes assessed (type of outcome, timing of outcome measurement, measurement tool);
  7. safety outcomes/adverse events (number of patients reporting adverse events, identity and rates of the most commonly reported events, number of withdrawals due to adverse events);
  8. results (e.g., means, variances, proportion of patients reporting the outcome).

Attempts are made to obtain full-text translations and/or evaluations of all relevant non-English articles.

Data analysis

Dichotomous data are used to calculate relative risks (RRs) with 95% confidence intervals.

Continuous outcomes are analysed using either the standardized mean difference (SMD) or the weighted mean difference (WMD) depending on whether the scales used are compatible across trials.

Estimates of efficacy (RRs, RDs, SMDs, and WMDs) are assessed for heterogeneity using the Cochran Q-chi square and the I-squared statistics (Higgins 2002; Higgins 2003). When considerable heterogeneity is present (>50%), an attempt are made to explain the differences based on the clinical and methodological differences of the included studies.

Clinically and methodologically dissimilar studies will not be statistically combined. When statistically heterogeneous studies are not too clinically and methodologically heterogeneous, they will be combined using a random-effects model.

Sub-group and sensitivity analysis

Sensitivity analyses are available comparing studies with high quality of conduct or reporting vs. studies of low quality of conduct or reporting.


Higgins JPT, Thompson SG. Quantifying heterogeneity in a metaanalysis. Statistics in Medicine 2002;21(11):1539{58.

Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ 2003;327(7414):557{60.

Deeks JJ, Altman DG. Effect measures for meta-analysis of trials with binary outcomes. In: EggerM, Davey SmithG, AltmanDG editor(s). Systematic reviews in health care: meta-analysis in context. 2nd Edition. London: BMJ Books, 2001:313{35.

Egger M, Smith GD, Schneider M,Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ 1997;315(7109):629{34.

Jadad AR, Moore RA, Carroll D, Jenkinson C, Reynolds DJ, Gavaghan DJ, et al. Assessing the quality of reports of randomized clinical trials: is blinding necessary?. Controlled Clinical Trials 1996;17 (1):1{12.

Schulz KF, Chalmers I, Hayes RJ, Altman DG. Empirical evidence of bias.Dimensions of methodological quality associated with estimates of treatment effects in controlled trials. JAMA 1995;273(5):408{12.

Boissel JP, Blanchard J, Panak E, Peyrieux JC, Sacks H. Considerations for the meta-analysis of randomized clinical trials. Summary of a panel discussion. Controlled Clinical Trials 1989;10:254-81.

Cucherat M. La méta-analyse des essais thérapeutiques. Masson. Paris 1997

Haynes RB, McKibbon KA, Wilczynski NL, Walter SD, Werre SR. Optimal search strategies for retrieving scientifically strong studies of treatment from Medline: analytical survey. BMJ. 2005 May 13;

Jadad AR, Moore RA, Carroll D, Jenkinson C, Reynolds DJ, Gavaghan DJ, et al. Assessing the quality of reports of randomized clinical trials: Is blinding necessary? Control Clin Trials 1996, 17:1-12.

Moher D, Cook DJ, Eastwood S, Olkin I, Rennie D, Stroup DF, for the QUOROM Group Improving the quality of reports of meta-analyses of randomised controlled trials: the QUOROM statement Lancet 1999; 354: 1896–900

Citing TrialResults-center in publications

The manner in which you cite TrialResults-center in publications will vary depending upon which aspect you want to cite:

If you wish to cite the original concept and origin of TrialResults-center, we recommend the following:

Cucherat M. (2009) TrialResults-Center. A searchable web-based database of clinical trial results in cardiology. Available at

To cite a particular branch or leaf page, please follow the recommendation in the Citing this page box at the bottom of each page.

Content Management

TrialResults-center contributors use custom authoring tools to upload the trial description, results and other materials for web pages. This information is stored in a series of databases, and web pages are created dynamically. This system provides great flexibility in the presentation of information. It supports the customization of content for different audiences and the sharing of materials with other projects.

Currently, web pages with information about systematic overview and meta-analysis of trials are the major visible feature of the TrialResults-center project. However, the technical configuration of the system is not just focused on the creation of web pages. TrialResults-center data are stored in a series of databases, and they can be retrieved dynamically for a variety of different purposes. We can customize web pages based on users' preferences, and we can serve materials for display on other web sites, for integration in other databases, or for scientific analyses.

Quality assurance

The TrialResults-center’s scientific content is backed by a rigorous quality control system.


TrialResults-center mission

TrialResults-center mission is to provide clinicians and other healthcare professionals with the most timely comprehensive and relevant clinical trials results. TrialResults-center vision is to increase the impact of therapeutical research by empowering physician and researchers with the information they need to accelerate the diffusion of the clinical trial results into the medical practice.

TrialResults–center origin

TrialResults-center is developed and maintained by Michel Cucherat, MD, PHD, at Lyon.

Dr Michel Cucherat is former Associate Professor in the Department of clinical pharmacology at Lyon University and now independent consultant.

He received his doctor of medicine degree from the Medical University of Lyon and also completed a PhD in clinical pharmacology there. He is an experienced researcher and author of 3 books and over 100 papers in the areas of clinical pharmacology, meta-analysis, biostatistics, cardiology, and medical information management.

Dr. Cucherat's scholarly interests include the areas of clinical trials, meta-analysis, evidence-based medicine, information application.


This website does not publish any unpaid or paid-for advertising. TrialResults-center is non-profit and self-funded.

TrialResults-center data are available to all requesters at no charge.