Association Between Neck Circumference and Coronary Heart Disease: A Meta-analysis.

Aims: Neck circumference (NC) was found to be related to the risk factors for coronary heart disease (CHD). However, the effects of NC on CHD are still controversial. To evaluate the relationship between NC and CHD, a meta-analysis of observational studies was performed. Method: Eligible studies on the association between NC and CHD were searched in Medline, Embase, Ovid, and Web of Science databases published in English from January 1980 to December 2016. Moreover, studies published in Chinese in Wanfang and China Hospital Knowledge databases were also searched. Random effects models in the metafor package in statistical analysis software R 3.3.3 were used for the meta-analysis. Heterogeneity was analyzed with Q statistics. Results: Eight studies were selected for the meta-analysis. A larger NC was associated with a higher prevalence of CHD (OR = 1.18, 95% CI 1.04-1.34, p = 0.0108). The eight studies were further divided into three subgroups according to the criteria for diagnosing CHD. In the subgroup of coronary angiography, NC was also found to be associated with the prevalence of CHD with low heterogeneity (OR = 1.17, 95% CI 1.07-1.28, p = 0.0007, I 2 = 17.02%). However, in the subgroup of computed tomography or past history, no association between NC and CHD was found. In addition, subgroup analyses were also conducted according to the regions of the study. No association between NC and CHD was identified in either Chinese studies or Brazil studies (OR = 1.20, 95% CI 0.96-1.49; OR = 1.31, 95% CI 0.82-2.09, respectively). Conclusion: Larger NC is associated with increased risk of CHD, especially when coronary angiography was taken to diagnose CHD.

Developing the Evidence Base to Inform Best Practice: A Scoping Study of Breast and Cervical Cancer Reviews in Low- and Middle-Income Countries.

BACKGROUND: Breast and cervical cancers have emerged as major global health challenges and disproportionately lead to excess morbidity and mortality in low- and middle-income countries (LMICs) when compared to high-income countries. The objective of this paper was to highlight key findings, recommendations, and gaps in research and practice identified through a scoping study of recent reviews in breast and cervical cancer in LMICs. METHODS: We conducted a scoping study based on the six-stage framework of Arskey and O'Malley. We searched PubMed, Cochrane Reviews, and CINAHL with the following inclusion criteria: 1) published between 2005-February 2015, 2) focused on breast or cervical cancer 3) focused on LMIC, 4) review article, and 5) published in English. RESULTS: Through our systematic search, 63 out of the 94 identified cervical cancer reviews met our selection criteria and 36 of the 54 in breast cancer. Cervical cancer reviews were more likely to focus upon prevention and screening, while breast cancer reviews were more likely to focus upon treatment and survivorship. Few of the breast cancer reviews referenced research and data from LMICs themselves; cervical cancer reviews were more likely to do so. Most reviews did not include elements of the PRISMA checklist. CONCLUSION: Overall, a limited evidence base supports breast and cervical cancer control in LMICs. Further breast and cervical cancer prevention and control studies are necessary in LMICs.

Identifying emerging research collaborations and networks: method development.

Clinical and translational research is a multidisciplinary, collaborative team process. To evaluate this process, we developed a method to document emerging research networks and collaborations in our medical center to describe their productivity and viability over time. Using an e-mail survey, sent to 1,620 clinical and basic science full- and part-time faculty members, respondents identified their research collaborators. Initial analyses, using Pajek software, assessed the feasibility of using social network analysis (SNA) methods with these data. Nearly 400 respondents identified 1,594 collaborators across 28 medical center departments resulting in 309 networks with 5 or more collaborators. This low-burden approach yielded a rich data set useful for evaluation using SNA to: (a) assess networks at several levels of the organization, including intrapersonal (individuals), interpersonal (social), organizational/institutional leadership (tenure and promotion), and physical/environmental (spatial proximity) and (b) link with other data to assess the evolution of these networks.

From free to free market: cost recovery in federally funded clinical research.

In a climate of increased expectation for the translation of research, academic clinical research units are looking at new ways to streamline their operation and maintain effective translational support services. Clinical research, although undeniably expensive, is an essential step in the translation of any medical breakthrough, and as a result, many academic clinical research units are actively looking to expand their clinical services despite financial pressures. We examine some of the hybrid academic-business models in 19 clinical research centers within the Clinical and Translational Science Award consortium that are emerging to address the issue of cost recovery of clinical research that is supported by the United States federal government. We identify initiatives that have succeeded or failed, essential supporting and regulatory components, and lessons learned from experience to design an optimal cost recovery model and a timeline for its implementation.

Social network analysis as a method of assessing institutional culture: three case studies.

PURPOSE: To describe the basic concepts of social network analysis (SNA), which assesses the unique structure of interrelationships among individuals and programs, and introduce some applications of this technique in assessing aspects of institutional culture at a medical center. METHOD: The authors applied SNA to three settings at their institution: team function in the intensive care unit, interdisciplinary composition of advisory committees for 53 federal career development awardees, and relationships between key function directors at an institution-wide Clinical Translational Sciences Institute (CTSI). (Key functions are the major administrative units of the CTSI.) RESULTS: In the ICU setting, SNA provides interpretable summaries of aspects of clinical team functioning. When applied to membership on mentorship committees, it allows for summary descriptions of the degree of interdisciplinarity of various clinical departments. Finally, when applied to relationships among leaders of an institution-wide research enterprise, it highlights potential problem areas in relationships among academic departments. In all cases, data collection is relatively rapid and simple, thereby allowing for the possibility of frequent repeated analyses over time. CONCLUSIONS: SNA provides a useful and standardized set of tools for measuring important aspects of team function, interdisciplinarity, and organizational culture that may otherwise be difficult to measure in an objective way.