Citation classics in systematic reviews and meta-analyses : who wrote the top 100 most cited articles?

Background: Systematic reviews of the literature occupy the highest position in currently proposed hierarchies of evidence. The aims of this study were to assess whether citation classics exist in published systematic review and meta-analysis (SRM), examine the characteristics of the most frequently cited SRM articles, and evaluate the contribution of different world regions. Methods: The 100 most cited SRM were identified in October 2012 using the Science Citation Index database of the Institute for Scientific Information. Data were extracted by one author. Spearman’s correlation was used to assess the association between years since publication, numbers of authors, article length, journal impact factor, and average citations per year. Results: Among the 100 citation classics, published between 1977 and 2008, the most cited article received 7308 citations and the least-cited 675 citations. The average citations per year ranged from 27.8 to 401.6. First authors from the USA produced the highest number of citation classics (n=46), followed by the UK (n=28) and Canada (n=15). The 100 articles were published in 42 journals led by the Journal of the American Medical Association (n=18), followed by the British Medical Journal (n=14) and The Lancet (n=13). There was a statistically significant positive correlation between number of authors (Spearman’s rho=0.320, p=0.001), journal impact factor (rho=0.240, p=0.016) and average citations per year. There was a statistically significant negative correlation between average citations per year and year since publication (rho = -0.636, p=0.0001). The most cited papers identified seminal contributions and originators of landmark methodological aspects of SRM and reflect major advances in the management of and predisposing factors for chronic diseases. Conclusions: Since the late 1970s, the USA, UK, and Canada have taken leadership in the production of citation classic papers. No first author from low or middle-income countries (LMIC) led one of the most cited 100 SRM

Online open neuroimaging mass meta-analysis

We describe a system for meta-analysis where a wiki stores numerical data in a simple format and a web service performs the numerical computation. We initially apply the system on multiple meta-analyses of structural neuroimaging data results. The described system allows for mass meta-analysis, e.g., meta-analysis across multiple brain regions and multiple mental disorders.Comment: 5 pages, 4 figures SePublica 2012, ESWC 2012 Workshop, 28 May 2012, Heraklion, Greec

Caregiver Integration During Discharge Planning for Older Adults to Reduce Resource Use: A Metaanalysis

Objectives To determine the effect of integrating informal caregivers into discharge planning on postdischarge cost and resource use in older adults. Design A systematic review and metaanalysis of randomized controlled trials that examine the effect of discharge planning with caregiver integration begun before discharge on healthcare cost and resource use outcomes. MEDLINE, EMBASE, and the Cochrane Library databases were searched for all English‐language articles published between 1990 and April 2016. Setting Hospital or skilled nursing facility. Participants Older adults with informal caregivers discharged to a community setting. Measurements Readmission rates, length of and time to post‐discharge rehospitalizations, costs of postdischarge care. Results Of 10,715 abstracts identified, 15 studies met the inclusion criteria. Eleven studies provided sufficient detail to calculate readmission rates for treatment and control participants. Discharge planning interventions with caregiver integration were associated with a 25% fewer readmissions at 90 days (relative risk (RR) = 0.75, 95% confidence interval (CI) = 0.62–0.91) and 24% fewer readmissions at 180 days (RR = 0.76, 95% CI = 0.64–0.90). The majority of studies reported statistically significant shorter time to readmission, shorter rehospitalization, and lower costs of postdischarge care among discharge planning interventions with caregiver integration. Conclusion For older adults discharged to a community setting, the integration of caregivers into the discharge planning process reduces the risk of hospital readmission

Caregiver Integration During Discharge Planning for Older Adults to Reduce Resource Use: A Metaanalysis

Objectives To determine the effect of integrating informal caregivers into discharge planning on postdischarge cost and resource use in older adults. Design A systematic review and metaanalysis of randomized controlled trials that examine the effect of discharge planning with caregiver integration begun before discharge on healthcare cost and resource use outcomes. MEDLINE, EMBASE, and the Cochrane Library databases were searched for all English‐language articles published between 1990 and April 2016. Setting Hospital or skilled nursing facility. Participants Older adults with informal caregivers discharged to a community setting. Measurements Readmission rates, length of and time to post‐discharge rehospitalizations, costs of postdischarge care. Results Of 10,715 abstracts identified, 15 studies met the inclusion criteria. Eleven studies provided sufficient detail to calculate readmission rates for treatment and control participants. Discharge planning interventions with caregiver integration were associated with a 25% fewer readmissions at 90 days (relative risk (RR) = 0.75, 95% confidence interval (CI) = 0.62–0.91) and 24% fewer readmissions at 180 days (RR = 0.76, 95% CI = 0.64–0.90). The majority of studies reported statistically significant shorter time to readmission, shorter rehospitalization, and lower costs of postdischarge care among discharge planning interventions with caregiver integration. Conclusion For older adults discharged to a community setting, the integration of caregivers into the discharge planning process reduces the risk of hospital readmission

Novel Schizophrenia Risk Gene TCF4 Influences Verbal Learning and Memory Functioning in Schizophrenia Patients

Background: Recently, a role of the transcription factor 4 (TCF4) gene in schizophrenia has been reported in a large genome-wide association study. It has been hypothesized that TCF4 affects normal brain development and TCF4 has been related to different forms of neurodevelopmental disorders. Schizophrenia patients exhibit strong impairments of verbal declarative memory (VDM) functions. Thus, we hypothesized that the disease-associated C allele of the rs9960767 polymorphism of the TCF4 gene led to impaired VDM functioning in schizophrenia patients. Method: The TCF4 variant was genotyped in 401 schizophrenia patients. VDM functioning was measured using the Rey Auditory Verbal Learning Test (RAVLT). Results: Carriers of the C allele were less impaired in recognition compared to those carrying the AA genotype (13.76 vs. 13.06; p = 0.049). Moreover, a trend toward higher scores in patients with the risk allele was found for delayed recall (10.24 vs. 9.41; p = 0.088). The TCF4 genotype did not influence intelligence or RAVLT immediate recall or total verbal learning. Conclusion: VDM function is influenced by the TCF4 gene in schizophrenia patients. However, the elevated risk for schizophrenia is not conferred by TCF4-mediated VDM impairment. Copyright (C) 2011 S. Karger AG, Base

Theoretical surgery: a new specialty in operative medicine

Theoretical surgery is defined as a nonoperative decision analysis and clinical and basic research supporting system for surgery. It developed to meet the needs of academic surgeons to coordinate communication with basic science disciplines. This article summarizes the development of this idea at the University of Marburg where theoretical surgery has reached departmental and institutional proportions. Its objectives and methods are described. Central to its operation are permanent working teams of 2 clinical surgeons, 1 basic scientist (theoretical surgeon), 1-2 technicians, and 1-2 students focusing on one problem in a joint interdisciplinary manner. Decision analysis with classification methods and the creation of decision trees and algorithms are central to the operation of this experiment. Lessons learned from this academic experiment and the accomplishments during the past 20 years are summarized on 3 levels of efficacy: performance, changing strategies, and outcome

CURRENT STATUS OF BENEFITS TRANSFER IN THE U.S.: A REVIEW

Benefits transfer refers to the use of existing benefit estimates in a different, but similar context as compared to the original study which generated the benefit estimates. Benefits transfer techniques include fixed value transfer, expert opinion, and value estimator models. Although benefits transfer techniques are subject to a number of conceptual and empirical limitations, these techniques are widely applied in the United States in economic assessments of public policies and projects. The application of benefits transfer in natural resource damage assessment cases is relatively untested in the United States court system.benefits transfer, conceptual background, United States applications, Research Methods/ Statistical Methods,

Prevention of major depression in complex medically ill patients: preliminary results from a randomized, controlled trial

Background: Depression is highly prevalent in patients with physical illness and is associated with a diminished quality of life and poorer medical outcomes. Objective: The authors evaluated whether a multifaceted intervention conducted by a psychiatric consultation-liaison nurse could reduce the incidence of major depression in rheumatology inpatients and diabetes outpatients with a high level of case complexity. Method: Of 247 randomized patients, the authors identified 100 patients with a high level of case complexity at baseline and without major depression (65 rheumatology and 35 diabetes patients). Patients were randomized to usual care (N = 53) or to a nurse-led intervention (N = 47). Main outcomes were the incidence of major depression and severity of depressive symptoms during a 1-year follow-up, based on quarterly assessments with standardized psychiatric interviews. Results: The incidence of major depression was 63% in usual-care patients and 36% in the intervention group. Effects of intervention on depressive symptoms were observed in outpatients with diabetes but not in rheumatology inpatients. Conclusion: These preliminary results based on subgroup analysis suggest that a multifaceted nurse-led intervention may prevent the occurrence of major depression in complex medically ill patients and reduce depressive symptoms in diabetes outpatients. (Psychosomatics 2009; 50: 227-233)

Adverse events following influenza immunization reported by healthcare personnel using active surveillance based on text messages

Studies have demonstrated that healthcare personnel (HCP) have concerns about the potential side effects of trivalent inactivate influenza vaccine (IIV3).1-3 A recent metaanalysis of reasons HCP refuse IIV3 indicates the strongest predictors of vaccine acceptance are belief that the vaccine is safe and belief the vaccine does not cause the disease it is meant to prevent.

Belief in free will affects causal attributions when judging others' behavior

Free will is a cornerstone of our society, and psychological research demonstrates that questioning its existence impacts social behavior. ;In six studies, we tested whether believing in free will is related to the correspondence bias, which reflects people's automatic tendency to overestimate the influence of internal as compared to external factors when interpreting others' behavior. All studies demonstrate a positive relationship between the strength of the belief in free will and the correspondence bias. Moreover, in two experimental studies, we showed that weakening participants' belief in free will leads to a reduction of the correspondence bias. Finally, the last study demonstrates that believing in free will predicts prescribed punishment and reward behavior, and that this relation is mediated by the correspondence bias. Overall, these studies show that believing in free will impacts fundamental social-cognitive processes that are involved in the understanding of others' behavior