Universal Motorcycle Helmet Laws to Reduce Injuries: A Community Guide Systematic Review.

CONTEXT: Motorcycle crashes account for a disproportionate number of motor vehicle deaths and injuries in the U.S. Motorcycle helmet use can lead to an estimated 42% reduction in risk for fatal injuries and a 69% reduction in risk for head injuries. However, helmet use in the U.S. has been declining and was at 60% in 2013. The current review examines the effectiveness of motorcycle helmet laws in increasing helmet use and reducing motorcycle-related deaths and injuries. EVIDENCE ACQUISITION: Databases relevant to health or transportation were searched from database inception to August 2012. Reference lists of reviews, reports, and gray literature were also searched. Analysis of the data was completed in 2014. EVIDENCE SYNTHESIS: A total of 60 U.S. studies qualified for inclusion in the review. Implementing universal helmet laws increased helmet use (median, 47 percentage points); reduced total deaths (median, -32%) and deaths per registered motorcycle (median, -29%); and reduced total injuries (median, -32%) and injuries per registered motorcycle (median, -24%). Repealing universal helmet laws decreased helmet use (median, -39 percentage points); increased total deaths (median, 42%) and deaths per registered motorcycle (median, 24%); and increased total injuries (median, 41%) and injuries per registered motorcycle (median, 8%). CONCLUSIONS: Universal helmet laws are effective in increasing motorcycle helmet use and reducing deaths and injuries. These laws are effective for motorcyclists of all ages, including younger operators and passengers who would have already been covered by partial helmet laws. Repealing universal helmet laws decreased helmet use and increased deaths and injuries.

Practice-Based Evidence in Community Guide Systematic Reviews.

OBJECTIVES: To assess the relative contributions and quality of practice-based evidence (PBE) and research-based evidence (RBE) in The Guide to Community Preventive Services (The Community Guide). METHODS: We developed operational definitions for PBE and RBE in which the main distinguishing feature was whether allocation of participants to intervention and comparison conditions was under the control of researchers (RBE) or not (PBE). We conceptualized a continuum between RBE and PBE. We then categorized 3656 studies in 202 reviews completed since The Community Guide began in 1996. RESULTS: Fifty-four percent of studies were PBE and 46% RBE. Community-based and policy reviews had more PBE. Health care system and programmatic reviews had more RBE. The majority of both PBE and RBE studies were of high quality according to Community Guide scoring methods. CONCLUSIONS: The inclusion of substantial PBE in Community Guide reviews suggests that evidence of adequate rigor to inform practice is being produced. This should increase stakeholders' confidence that The Community Guide provides recommendations with real-world relevance. Limitations in some PBE studies suggest a need for strengthening practice-relevant designs and external validity reporting standards.

A protein complex network of Drosophila melanogaster.

Determining the composition of protein complexes is an essential step toward understanding the cell as an integrated system. Using coaffinity purification coupled to mass spectrometry analysis, we examined protein associations involving nearly 5,000 individual, FLAG-HA epitope-tagged Drosophila proteins. Stringent analysis of these data, based on a statistical framework designed to define individual protein-protein interactions, led to the generation of a Drosophila protein interaction map (DPiM) encompassing 556 protein complexes. The high quality of the DPiM and its usefulness as a paradigm for metazoan proteomes are apparent from the recovery of many known complexes, significant enrichment for shared functional attributes, and validation in human cells. The DPiM defines potential novel members for several important protein complexes and assigns functional links to 586 protein-coding genes lacking previous experimental annotation. The DPiM represents, to our knowledge, the largest metazoan protein complex map and provides a valuable resource for analysis of protein complex evolution.