The year in cardiovascular medicine 2022: the top 10 papers in heart failure and cardiomyopathies.
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ABSTRACT:
SUBMITTER: de Boer RA
PROVIDER: S-EPMC9890248 | biostudies-literature | 2023 Feb
REPOSITORIES: biostudies-literature
Publications
The year in cardiovascular medicine 2022: the top 10 papers in heart failure and cardiomyopathies.
de Boer Rudolf A RA Bauersachs Johann J
European heart journal 20230201 5
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Project description:BackgroundNumerous studies have explored the most productive and influential authors in a specific field. However, 2 challenges arise when conducting such research. First, some authors may have identical names in the study data, and second, the contributions of coauthors may vary in the article by line, requiring consideration. Failure to address these issues may result in biased research findings. Our objective was to illustrate how the author-weighted scheme (AWS) and betweenness centrality (BC) can be employed to identify the 10 most frequently cited authors in a particular journal and analyze their research themes.MethodsWe collected 24,058 abstracts from the PubMed library between 2000 and 2020 using the keyword "Medicine [Journal]." Author names, countries/regions, and medical subject headings (MeSH terms) were collected. The AWS to identify the top 10 authors with a higher x-index was applied. To address the issue of authors with identical names affiliated with different research institutes, we utilized the BC method. Social network analysis (SNA) was conducted, and 10 major clusters were identified to highlight authors with a higher x-index within the corresponding clusters. We utilized SNA to analyze the MeSH terms from articles of the 10 top-cited authors to identify their research themes.ResultsOur findings revealed the following: within the top 10 cited authors, 2 authors from China shared identical names with Jing Li and Tao-Wang; JA Winkelstein from Maryland (US) had the highest x-index (15.58); Chia-Hung Kao from Taiwan was the most prolific author, having published 115 articles in Medicine since 2003; and the 3 primary research themes, namely, complications, etiology, and epidemiology, were identified using MeSH terms from the 10 most frequently cited authors.ConclusionsUsing AWS and BC, we identified the top 10 most cited authors. The research methods we utilized in this study (BC and AWS) have the potential to be applied to other bibliometric analyses in the future.
| S-EPMC10289667 | biostudies-literature
Project description:BackgroundPrimary prevention strategies to mitigate the burden of heart failure (HF) are urgently needed. However, no validated risk prediction tools are currently in use.ObjectivesThis study sought to derive 10-year risk equations of developing incident HF.MethodsRace- and sex-specific 10-year risk equations for HF were derived and validated from individual-level data from 7 community-based cohorts with at least 12 years of follow-up. Participants who were recruited between 1985 and 2000, between 30 to 79 years, and were free of cardiovascular disease at baseline were included to create a pooled cohort (PC) and were randomly split for derivation and internal validation. Model performance was also assessed in 2 additional cohorts.ResultsIn the derivation sample of the PC (n = 11,771), 58% were women, 22% were black with a mean age of 52 ± 12 years, and HF occurred in 1,339 participants. Predictors of HF included in the race-sex-specific models were age, blood pressure (treated or untreated), fasting glucose (treated or untreated), body mass index, cholesterol, smoking status, and QRS duration. The PC equations to Prevent HF model had good discrimination and strong calibration in internal and external validation cohorts. A web-based tool was developed to facilitate clinical application of this tool.ConclusionsThe authors present a contemporary analysis from 33,010 men and women demonstrating the utility of the sex- and race-specific 10-year PC equations to Prevent HF risk score, which integrates clinical parameters readily available in primary care settings. This tool can be useful in risk-based decision making to determine who may merit intensive screening and/or targeted prevention strategies.
| S-EPMC6527121 | biostudies-literature
Project description:AimsWe aim to describe the incidence of HF hospitalization in France in the post-pandemic era, the prevalence of HF cases and patients' characteristics, management and outcomes while focusing on sex, age and socio-economic differences and to analyse time-trends between 2012 and 2022.Methods and resultsBased on the French health care database providing medical information for almost the whole French population, patients hospitalized for acute decompensated HF without history of HF in the 5 years were identified by the International Classification of Diseases - 10th revision (ICD-10) codes. In 2022, the estimated prevalence of HF was 1.7% in France and has increased until the COVID-19 pandemic and decreased thereafter. The incidence of acute HF decompensation reached 201.4 per 100 000 inhabitants and has decreased since 2012 (-1% per year). A significant increase of the HF incidence was found in men aged <45 years. Women aged <65 years were less likely to be admitted in a cardiac rehabilitation (CR) unit and had higher probability of one-year mortality compared with men of the same age. One-year mortality was significantly increased in patients from the most deprived area among extreme age group only (under 65 and ≥85 years). One-year rehospitalization rates have decreased significantly, particularly in men aged <75 years. A decrease in ACE/ARBs deliveries was observed in both men and women.ConclusionsDespite the decrease in acute HF decompensation incidence and improvements in the management, the prevalence of HF remains stable in France and prognosis remains poor.
| S-EPMC11911577 | biostudies-literature
Project description:PURPOSE:The purpose of this review is to provide an update on the recent advances in the research and clinical care of patients with the major phenotypes of inherited cardiomyopathies-hypertrophic, dilated, and arrhythmogenic. Developments in genetics, risk stratification, therapies, and disease modeling will be discussed. RECENT:Diagnostic, prognostic, and therapeutic tools which incorporate genetic and genomic data are being steadily incorporated into the routine clinical care of patients with genetic cardiomyopathies. Human pluripotent stem cells are a breakthrough model system for the study of genetic variation associated with inherited cardiovascular disease. Next-generation sequencing technology and molecular-based diagnostics and therapeutics have emerged as valuable tools to improve the recognition and care of patients with hypertrophic, dilated, and arrhythmogenic cardiomyopathies. Improved adjudication of variant pathogenicity and management of genotype-positive/phenotype-negative individuals are imminent challenges in this realm of precision medicine.
| S-EPMC6823137 | biostudies-literature
Project description:The extent to which basic medical research is translated into clinical practice is a topic of interest to all stakeholders. In this study, we assessed the clinical translation intensity of papers published by scientists who have made outstanding contributions to the field of basic medicine (Lasker Prize winners for Basic Medical Research). Approximate Potential for Translation (APT), Translational science scores (TS), and Citations by clinical research (Cited by Clin.) were analyzed as dependent variables. A traditional citation indicator was used as a reference (relative citation ratio, RCR). In order to examine the correlation between these different indicators and the characteristics of the paper, the author, and the institution. we used nonparametric tests, Spearman correlations, ordinal least squares regressions (OLS), quantile regressions, and zero-inflated negative binomial regression methods. We found that among the basic medical research papers published by Lasker Basic Medicine Award winners, (1) 20% are cited by clinical research; 11.6% of the papers were more valuable for clinical research than basic research; 12.8% have a probability of more than 50% to be cited in future clinical studies; (2) Spearman correlations were conducted among APT, TS, Cited by Clin., RCR, and all of the other continuous variables. There is a significant, positive, low to moderate correlation between APT, TS, and Cited by Clin (APT and TS: r = 0.549, p < 0.01; APT and Cited by Clin: r = 0.530, p < 0.01; TS and Cited by Clin: r = 0.383, p < 0.01). However, the relationship between RCR and the three indicators of clinical translation intensity was not consistent. APT was positively correlated with RCR (r = 0.553, p < 0.01). Cited by Clin. is weakly positively correlated with RCR (r = 0.381, p < 0.01). There is almost no correlation between TS and RCR (r = 0.184, p < 0.01). (3) Publication age, primary research paper, multidisciplinary science, number of disciplines, authors, institutions, funded projects, references, length of the title, length of paper, physical age, gender, nationality, institutional type, Nobel Prize have a significant relationship with 1 to 3 types of clinical translation intensity measures. In a sample of basic medical research papers published by the world's top scientists in basic medicine, we came to the following conclusions: the three indicators, APT, TS and Cited by Clin., measured the clinical translation intensity of the papers from different perspectives. They are both related to each other and have their own characteristics. In a sample of basic medical research papers published by the world's top scientists in basic medicine, characteristics at the paper, winner, and institution level significantly correlated with the measures of clinical translation intensity. Gender effect on the clinical translation intensity of papers was confirmed. Traditional citation-based indicators and translational-focused indicators measure academic impact and clinical impact respectively. There is a certain degree of disconnect between them. Two types of indicators should be used in combination in future assessments of basic medical research.Supplementary informationThe online version contains supplementary material available at 10.1007/s11192-023-04634-4.
| S-EPMC9885061 | biostudies-literature
Project description:AimsIn clinical practice, factors associated with cardiovascular disease (CVD) like albuminuria, education level, or coronary artery calcium (CAC) are often known, but not incorporated in cardiovascular risk prediction models. The aims of the current study were to evaluate a methodology for the flexible addition of risk modifying characteristics on top of SCORE2 and to quantify the added value of several clinically relevant risk modifying characteristics.Methods and resultsIndividuals without previous CVD or DM were included from the UK Biobank; Atherosclerosis Risk in Communities (ARIC); Multi-Ethnic Study of Atherosclerosis (MESA); European Prospective Investigation into Cancer, The Netherlands (EPIC-NL); and Heinz Nixdorf Recall (HNR) studies (n = 409 757) in whom 16 166 CVD events and 19 149 non-cardiovascular deaths were observed over exactly 10.0 years of follow-up. The effect of each possible risk modifying characteristic was derived using competing risk-adjusted Fine and Gray models. The risk modifying characteristics were applied to individual predictions with a flexible method using the population prevalence and the subdistribution hazard ratio (SHR) of the relevant predictor. Risk modifying characteristics that increased discrimination most were CAC percentile with 0.0198 [95% confidence interval (CI) 0.0115; 0.0281] and hs-Troponin-T with 0.0100 (95% CI 0.0063; 0.0137). External validation was performed in the Clinical Practice Research Datalink (CPRD) cohort (UK, n = 518 015, 12 675 CVD events). Adjustment of SCORE2-predicted risks with both single and multiple risk modifiers did not negatively affect calibration and led to a modest increase in discrimination [0.740 (95% CI 0.736-0.745) vs. unimproved SCORE2 risk C-index 0.737 (95% CI 0.732-0.741)].ConclusionThe current paper presents a method on how to integrate possible risk modifying characteristics that are not included in existing CVD risk models for the prediction of CVD event risk in apparently healthy people. This flexible methodology improves the accuracy of predicted risks and increases applicability of prediction models for individuals with additional risk known modifiers.
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Project description: Not available
| S-EPMC10691737 | biostudies-literature
Project description:PurposeThis study was performed to evaluate trends in and provide future direction for anesthesiology education, research, and clinical practice.MethodsWe collected high-impact papers, ranking in the top 10% in the field of anesthesiology and published from 2011 to 2020, by the InCites tool based on the Web of Science Core Collection. We analyzed the trends, locations, distribution of subject categories, research organizations, collaborative networks, and subject terms of these papers.ResultsA total of 4,685 high-impact papers were included for analysis. The number of high-impact papers increased from 462 in 2011 to 520 in 2020. The paper with the highest value of category normalized citation impact (115.95) was published in Anesthesia and Analgesia in 2018. High-impact papers were mainly distributed in the subject categories of "Anesthesiology," "Clinical Neurology," "Neurosciences," and "Medicine General Internal." They were primarily cited in "Anesthesiology," "Clinical Neurology," "Neurosciences," "Medicine General Internal," and "Surgery." Most of these high-impact papers came from the USA, UK, Canada, Germany, and Australia. The most productive institutions were the League of European Research Universities, Harvard University, University of Toronto, University of London, University of California System, and University Health Network Toronto. Research collaboration circles have been formed in the USA, UK, and Canada. Subject-term analysis indicated postoperative analgesia, chronic pain, and perioperative complications were high-interest topics, and COVID-19 became a new hot topic in 2020.ConclusionsThe current study provides a historical view of high-impact papers in anesthesiology in the past ten years. High-impact papers were mostly from the USA. Postoperative analgesia, chronic pain, and perioperative complications have been hot topics, and COVID-19 became a new topic in 2020. These findings provide references for education, research, and clinical practice in the field of anesthesiology.
| S-EPMC9684867 | biostudies-literature
Project description:Research has tremendously contributed to the developments in both practical and fundamental aspects of limb prosthetics. These advancements are reflected in scientific articles, particularly in the most cited papers. This article aimed to identify the 100 top-cited articles in the field of limb prosthetics and to investigate their main characteristics. Articles related to the field of limb prosthetics and published in the Web of Knowledge database of the Institute for Scientific Information (ISI) from the period of 1980 to 2012. The 100 most cited articles in limb prosthetics were selected based on the citation index report. All types of articles except for proceedings and letters were included in the study. The study design and level of evidence were determined using Sackett's initial rules of evidence. The level of evidence was categorized either as a systematic review or meta-analysis, randomized controlled trial, cohort study, case-control study, case series, expert opinion, or design and development. The top cited articles in prosthetics were published from 1980 to 2012 with a citation range of 11 to 90 times since publication. The mean citation rate was 24.43 (SD 16.7) times. Eighty-four percent of the articles were original publications and were most commonly prospective (76%) and case series studies (67%) that used human subjects (96%) providing level 4 evidence. Among the various fields, rehabilitation (47%), orthopedics (29%), and sport sciences (28%) were the most common fields of study. The study established that studies conducted in North America and were written in English had the highest citations. Top cited articles primarily dealt with lower limb prosthetics, specifically, on transtibial and transradial prosthetic limbs. Majority of the articles were experimental studies.
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