1,721,008 research outputs found
Ferric carboxymaltose for the treatment of iron‐deficient heart failure patients: a systematic review and meta‐analysis
Abstract Aims Intravenous ferric carboxymaltose (FCM) has been shown to improve functional capacity and quality of life in iron deficient heart failure patients. However, FCM's effect on hospitalizations and mortality remains unclear as previous randomized controlled trials (RCTs) and their meta‐analyses have been underpowered to detect significant differences. We sought to conduct an updated meta‐analysis using recently published RCT data. Methods and results Online databases were searched from inception until November 2020 for RCTs evaluating the effects of FCM on clinical outcomes in iron‐deficient heart failure patients. Outcomes of interest included heart failure hospitalizations, all‐cause mortality, and cardiovascular mortality. Meta‐analysis was performed using a fixed‐effect model and estimates were reported as odds ratios (ORs), hazard ratios, or rate ratios (RRs) along with corresponding 95% confidence intervals (CIs). A total of 1947 patients ( n = 1062 in the FCM group; n = 885 in the placebo group) were included. FCM, compared with placebo, significantly reduced the risk of the composite endpoint of time to first heart failure hospitalization or cardiovascular death (hazard ratio = 0.76; 95% CI = 0.63–0.90; I 2 = 55%). FCM also significantly reduced the risk of recurrent heart failure hospitalizations (RR = 0.68; 95% CI = 0.54–0.85; I 2 = 71%) and recurrent cardiovascular hospitalizations (RR = 0.71; 95% CI = 0.59–0.86; I 2 = 56%). However, FCM had no significant effect on the risk of all‐cause (OR = 0.97; 95% CI = 0.73–1.28; I 2 = 0%) or cardiovascular mortality (OR = 0.93; 95% CI = 0.69–1.27; I 2 = 0%). Conclusions Ferric carboxymaltose reduces heart failure hospitalizations and cardiovascular hospitalizations with no beneficial effect on all‐cause and cardiovascular mortality in iron‐deficient heart failure patients. These findings reinforce the role of FCM as a therapeutic option in heart failure patients
Patient phenotype profiling in heart failure with preserved ejection fraction to guide therapeutic decision making. A scientific statement of the Heart Failure Association, the European Heart Rhythm Association of the European Society of Cardiology, and the European Society of Hypertension
Abstract Heart failure with preserved ejection fraction (HFpEF) represents a highly heterogeneous clinical syndrome affected in its development and progression by many comorbidities. The left ventricular diastolic dysfunction may be a manifestation of various combinations of cardiovascular, metabolic, pulmonary, renal, and geriatric conditions. Thus, in addition to treatment with sodium–glucose cotransporter 2 inhibitors in all patients, the most effective method of improving clinical outcomes may be therapy tailored to each patient's clinical profile. To better outline a phenotype‐based approach for the treatment of HFpEF, in this joint position paper, the Heart Failure Association of the European Society of Cardiology, the European Heart Rhythm Association and the European Hypertension Society, have developed an algorithm to identify the most common HFpEF phenotypes and identify the evidence‐based treatment strategy for each, while taking into account the complexities of multiple comorbidities and polypharmacy
Efficacy and safety of SGLT2 inhibitors in heart failure: systematic review and meta‐analysis
The effect of sodium-glucose cotransporter 2 inhibitors on left cardiac remodelling in heart failure with reduced ejection fraction: Systematic review and meta-analysis
Aims: The therapeutic mechanism of sodium-glucose cotransporter 2 inhibitors (SGLT2i) on left cardiac remodelling in patients with heart failure with reduced ejection fraction (HFrEF) is not well-established. This study meta-analysed the impact of SGLT2i on left cardiac structure and function in patients with HFrEF.Methods and results: Online databases were queried up to April 2023 for trials reporting indicators of left cardiac structure and function in patients with HFrEF treated with SGLT2i. Data from studies were pooled using a random-effects model to derive weighted mean differences (WMDs) and 95% confidence intervals (CIs). Six trials were included (n = 555). Compared with control, SGLT2i significantly improved left ventricular end-diastolic volume (LVEDV; WMD: -17.07 ml [-23.84, -10.31]; p < 0.001), LVEDV index (WMD: -5.62 ml/m(2) [-10.28, -0.97]; p = 0.02), left ventricular end-systolic volume (LVESV; WMD: -15.63 ml [-26.15, -5.12]; p = 0.004), LVESV index (WMD: -6.90 ml/m(2) [-10.68, -3.11]; p = 0.001), left ventricular ejection fraction (WMD: 2.71% [0.70, 4.72]; p = 0.008), and left atrial volume index (WMD: -2.19 ml/m(2) [-4.26, -0.11]; p = 0.04) in patients with HFrEF. SGLT2i use was associated with a non-significant trend towards a reduction in left ventricular mass index (WMD: -6.25 g/m(2) [-12.79, 0.28]; p = 0.06). No significant impact on left ventricular global longitudinal strain was noted (WMD: 0.21% [-0.25, 0.67]; p = 0.38).Conclusions: Sodium-glucose cotransporter 2 inhibitors improve cardiac structure and function in patients with HFrEF
Effect of SGLT2 inhibitors on heart failure outcomes and cardiovascular death across the cardiometabolic disease spectrum: a systematic review and meta-analysis
Robustness of outcomes in trials evaluating sodium–glucose co‐transporter 2 inhibitors for heart failure
Aims: Recent trials have evaluated sodium–glucose co‐transporter 2 inhibitors in patients with heart failure (HF). We sought to assess the robustness of findings from these trials using the fragility index (FI).
Methods and results: Fragility index is defined as the minimum number of patients that must be moved from the ‘non‐event’ to the ‘event’ group to turn a statistically significant result to non‐significant. In addition to FI, fragility quotient [(FQ); FI divided by the sample size] was calculated to assess the proportion of events that must be moved to change the significance. For statistically non‐significant outcomes, reverse fragility index (RFI) and reverse fragility quotient (RFQ) were calculated. Robustness of findings after pooling data from all three trials was also assessed. A robust reduction in first HF hospitalization or cardiovascular mortality was seen with dapagliflozin (FI = 62 and FQ = 0.013), empagliflozin (FI = 50 and FQ = 0.013), and sotagliflozin (FI = 60 and FQ = 0.049). Dapagliflozin nominally improved all‐cause and cardiovascular mortality, with modest FI (n = 8 and 5) and FQ (0.002 and 0.001). Empagliflozin and sotagliflozin did not demonstrate statistically significant reductions in all‐cause mortality, with modest RFI (empagliflozin: RFI = 26 and RFQ = 0.007; sotagliflozin: RFI = 6 and RFQ = 0.005). A similar trend was seen with cardiovascular mortality (empagliflozin: RFI = 24 and RFQ = 0.006; sotagliflozin: RFI = 7 and RFQ = 0.006). Upon meta‐analysis, the result for first HF hospitalization or cardiovascular mortality was robust (FI = 95 and FQ = 0.010). The reductions in all‐cause (FI = 12 and FQ = 0.001) and cardiovascular mortality (FI = 9 and FQ = 0.001), while statistically significant, were fragile.
Conclusion: Improvement in the composite outcome of first HF hospitalization or cardiovascular death was highly concordant and robust across sodium–glucose co‐transporter 2 inhibitor trials. In contrast, secondary endpoints of all‐cause and cardiovascular mortality were statistically fragile, underscoring the need to power trials for mortality to fully understand the benefit of therapies on fatal events
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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