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Background: ClinicalTrials.gov is a publicly accessible, Internet-based registry of clinical trials managed by the US National Library of Medicine that has the potential to address selective trial publication. Our objectives were to examine completeness of registration within ClinicalTrials.gov and to determine the extent and correlates of selective publication. Methods and Findings: We examined reporting of registration information among a cross-section of trials that had been registered at ClinicalTrials.gov after December 31, 1999 and updated as having been completed by June 8, 2007, excluding phase I trials. We then determined publication status among a random 10% subsample by searching MEDLINE using a systematic protocol, after excluding trials completed after December 31, 2005 to allow at least 2 y for publication following completion. Among the full sample of completed trials (n=7,515), nearly 100% reported all data elements mandated by ClinicalTrials.gov, such as intervention and sponsorship. Optional data element reporting varied, with 53% reporting trial end date, 66% reporting primary outcome, and 87% reporting trial start date. Among the 10% subsample, less than half (311 of 677, 46%) of trials were published, among which 96 (31%) provided a citation within ClinicalTrials.gov of a publication describing trial results. Trials primarily sponsored by industry (40%, 144 of 357) were less likely to be published when compared with nonindustry/nongovernment sponsored trials (56%, 110 of 198; p,0.001), but there was no significant difference when compared with government sponsored trials (47%, 57 of 122; p = 0.22). Among trials that reported an end date, 75 of 123 (61%) completed prior to 2004, 50 of 96 (52%) completed during 2004, and 62 of 149 (42%) completed during 2005 were published (p = 0.006). Conclusions: Reporting of optional data elements varied and publication rates among completed trials registered within ClinicalTrials.gov were low. Without greater attention to reporting of all data elements, the potential for ClinicalTrials.gov to address selective publication of clinical trials will be limited. [ABSTRACT FROM AUTHOR]

The article reviews the statistical models and patient predictors of readmission after heart failure(HF). It discusses that readmission after HF hospitalization is the altering focus for physicians and policy manufacturers and that the statistical models are demanded to evaluate patient risk and to equate hospital operation. It infers that the performed systematic review is used to report the models which are planned to compare hospital rates of readmission and to anticipate the patient's risk of readmission.

The article presents a study which investigates the survival impact of regionalization of acute myocardial infarction (AMI) care on percutaneous coronary intervention (PCI) hospitals in the U.S. Risk-standardized mortality rates (RSMRs) between PCI hospitals and non-PCI hospitals within the same health care regions were analyzed. The study suggests that regionalizing AMI care to PCI hospitals can reduce mortality rates, however, survival outcomes varies across the regions.