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Prescription sequence symmetry analysis (PSSA), a case-only design introduced in 1996, has been increasingly used to identify unintentional drug effects, and has potential applications as a hypothesis-testing and a hypothesis-generating method, due to its easy application and effective control of time-invariant confounders. The aim of this study is to systematically compare effect estimates from the PSSA to effect estimates from conventional observational parallel group study designs, to assess the validity and constraints of the PSSA study design. We reviewed the MEDLINE, EMBASE, and Web of Science databases until February 2016 to identify studies that compared PSSA to a parallel group design. Data from the eligible articles was extracted and analyzed, including making a Bland-Altman plot and calculating the number of discrepancies between the designs. 63 comparisons (from two studies) were included in the review. There was a significant correlation (p < 0.001) between the effect estimates of the PSSA and the parallel group designs, but the bias indicated by the Bland-Altman plot (0.20) and the percentage of discrepancies (70-80%) showed that this correlation was not accompanied by a considerable similarity of the effect estimates. Overall, the effect estimates of the parallel group designs were higher than those of the PSSA, not necessarily further away from 1, and the parallel group designs also generated more significant signals. However, these results should be approached with caution, as the effect estimates were only retrieved from two separate studies. This review indicates that, even though PSSA has a lot of potential, the effect estimates generated by the PSSA are usually lower than the effect estimates generated by parallel group designs, and PSSA mostly has a lower power than the conventional study designs, but this is based on limited comparisons, and more comparisons are needed to make a proper conclusion.

Background Patients with chronic kidney disease (CKD) require a personalised strategy for cardiovascular risk management (CVRM) to reduce their high risk of cardiovascular morbidity and mortality. Despite their high risk, patients with CKD appear to be underrepresented in randomised controlled trials (RCTs) for pharmacological CVRM interventions to reduce cardiovascular risk (pharmacological CVRM interventions). As a result, it remains unclear whether the efficacy of these interventions found in patients without CKD is similarly applicable to patients with CKD. This evidence map aims to provide an overview of the availability of the evidence from pharmacological CVRM trials for patients with CKD by assessing how often patients with reduced kidney function are specifically excluded or included from RCTs on pharmacological CVRM interventions and whether studies report efficacy estimates of interventions specifically for kidney patients. Methods We will perform a systematic literature search in ClinicalTrials.gov to identify relevant planned, ongoing, and completed RCTs on a broad range of CVRM medications after which we will retrieve the published protocols and papers via ClinicalTrials.gov itself, Embase, MEDLINE, or Google Scholar. We will include RCTs that investigate the efficacy of platelet inhibitors, anticoagulants, antihypertensives, glucose-lowering medication, and lipid-lowering medication on all-cause mortality, cardiovascular mortality, cardiovascular morbidity, and end-stage kidney disease in patients with a cardiovascular history or a major risk factor for cardiovascular disease. Two reviewers will independently screen trial records and their corresponding full-text publications to determine eligibility and extract data. Outcomes of interest are the exclusion of patients with reduced kidney function from RCTs and whether the study population was restricted to kidney patients or subgroup analyses were performed on kidney function. Results will be visualised in an evidence map. Discussion The availability of evidence on the efficacy and safety of pharmacological CVRM interventions in patients with CKD might be limited. Hence, we will identify knowledge gaps for future research. At the same time, the availability of evidence, or lack thereof, might warrant caution from healthcare decision-makers in making strong recommendations based on the extrapolation of results from studies to patients who were explicitly excluded from participation. Systematic review registration PROSPERO CRD42022296746.

BackgroundRelative fat mass (RFM) is an emerging marker of obesity that estimates body fat percentage using a sex-specific formula containing height and waist circumference (WC). We studied the association of RFM with incident atrial fibrillation (AF), heart failure (HF), and coronary artery disease (CAD) and explored RFM cutoffs for cardiovascular disease (CVD) prediction.MethodsWe studied 95,003 participants (age 45 ± 13 years, 59% women) without prevalent AF, HF or CAD from the population-based Lifelines study. Outcomes were ascertained using electrocardiography and self-reported questionnaire data. We used logistic regression to study the association of RFM with individual outcomes and a composite outcome (incident AF, HF, and/or CAD). Multivariable models were adjusted for components of the SCORE risk model (age, sex, systolic blood pressure, cholesterol, and smoking). Optimal cutoffs were determined using the Youden index.ResultsDuring a median follow-up of 3.8 (3.0–4.6) years, 224 (0.2%) participants developed AF, 1003 (1.1%) HF and 657 (0.7%) CAD. After multivariable adjustment, RFM was significantly associated with all outcomes (standardised OR 1.26, 95% CI 1.18–1.34 for the composite outcome). Optimal RFM cutoffs ( ≥26 for men, ≥38 for women) were lower than previously proposed RFM cutoffs ( ≥30 for men, ≥40 for women). In general, overall discriminative ability of RFM and its cutoffs was at least similar (in women) or better (in men) compared to BMI and WC. Since RFM was substantially correlated with age, we additionally determined age-specific cutoffs, which ranged from 23 to 27 in men and 33 to 43 in women.ConclusionsRFM is associated with incident AF, HF, and CAD and may be used as a simple and intuitive marker of obesity and cardiovascular risk in the general population. This study provides potential RFM cutoffs for CVD prediction that may be used by future studies or preventive strategies targeting obesity and cardiovascular risk.

To assess the endorsement of reporting guidelines by high impact factor journals over the period 2017–2022, with a specific focus on the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) statement. We searched the online ‘instructions to authors’ of high impact factor medical journals in February 2017 and in January 2022 for any reference to reporting guidelines and TRIPOD in particular. In 2017, 205 out of 337 (61%) journals mentioned any reporting guideline in their instructions to authors and in 2022 this increased to 245 (73%) journals. A reference to TRIPOD was provided by 27 (8%) journals in 2017 and 67 (20%) in 2022. Of those journals mentioning TRIPOD in 2022, 22% provided a link to the TRIPOD website and 60% linked to TRIPOD information on the Enhancing the QUAlity and Transparency Of health Research (EQUATOR) Network website. Twenty-five percent of the journals required adherence to TRIPOD. About three-quarters of high-impact medical journals endorse the use of reporting guidelines and 20% endorse TRIPOD. Transparent reporting is important in enhancing the usefulness of health research and endorsement by journals plays a critical role in this.

To determine whether clinical trial register (CTR) searches can accurately identify a greater number of completed randomized clinical trials (RCTs) than electronic bibliographic database (EBD) searches for systematic reviews of interventions, and to quantify the number of eligible ongoing trials. We performed an evaluation study and based our search for RCTs on the eligibility criteria of a systematic review that focused on the underrepresentation of people with chronic kidney disease in cardiovascular RCTs. We conducted a combined search of ClinicalTrials.gov and the WHO International Clinical Trials Registry Platform through the Cochrane Central Register of Controlled Trials to identify eligible RCTs registered up to June 1, 2023. We searched Cochrane Central Register of Controlled Trials, EMBASE, and MEDLINE for publications of eligible RCTs published up to June 5, 2023. Finally, we compared the search results to determine the extent to which the two sources identified the same RCTs. We included 92 completed RCTs. Of these, 81 had results available. Sixty-six completed RCTs with available results were identified by both sources (81% agreement [95% CI: 71–88]). We identified seven completed RCTs with results exclusively by CTR search (9% [95% CI: 4–17]) and eight exclusively by EBD search (10% [95% CI: 5–18]). Eleven RCTs were completed but lacked results (four identified by both sources (36% [95% CI: 15–65]), one exclusively by EBD search (9% [95% CI: 1–38]), and six exclusively by CTR search (55% [95% CI: 28–79])). Also, we identified 42 eligible ongoing RCTs: 16 by both sources (38% [95% CI: 25–53]) and 26 exclusively by CTR search (62% [95% CI: 47–75]). Lastly, we identified four RCTs of unknown status by both sources. CTR searches identify a greater number of completed RCTs than EBD searches. Both searches missed some included RCTs. Based on our case study, researchers (eg, information specialists, systematic reviewers) aiming to identify all available RCTs should continue to search both sources. Once the barriers to performing CTR searches alone are targeted, CTR searches may be a suitable alternative. [Display omitted]

Prescription sequence symmetry analysis (PSSA), a case-only design introduced in 1996, has been increasingly used to identify unintentional drug effects, and has potential applications as a hypothesis-testing and a hypothesis-generating method, due to its easy application and effective control of time-invariant confounders. The aim of this study is to systematically compare effect estimates from the PSSA to effect estimates from conventional observational parallel group study designs, to assess the validity and constraints of the PSSA study design. We reviewed the MEDLINE, EMBASE, and Web of Science databases until February 2016 to identify studies that compared PSSA to a parallel group design. Data from the eligible articles was extracted and analyzed, including making a Bland-Altman plot and calculating the number of discrepancies between the designs. 63 comparisons (from two studies) were included in the review. There was a significant correlation (p < 0.001) between the effect estimates of the PSSA and the parallel group designs, but the bias indicated by the Bland-Altman plot (0.20) and the percentage of discrepancies (70-80%) showed that this correlation was not accompanied by a considerable similarity of the effect estimates. Overall, the effect estimates of the parallel group designs were higher than those of the PSSA, not necessarily further away from 1, and the parallel group designs also generated more significant signals. However, these results should be approached with caution, as the effect estimates were only retrieved from two separate studies. This review indicates that, even though PSSA has a lot of potential, the effect estimates generated by the PSSA are usually lower than the effect estimates generated by parallel group designs, and PSSA mostly has a lower power than the conventional study designs, but this is based on limited comparisons, and more comparisons are needed to make a proper conclusion.

Patients with chronic kidney disease (CKD) are at high risk for cardiovascular disease, but their systematic underrepresentation in cardiovascular randomized clinical trials (RCTs) limits the generation of appropriate evidence to guide cardiovascular risk management (CVRM). To evaluate the underrepresentation of patients with CKD in cardiovascular RCTs, and to highlight evidence gaps in CVRM medications in this population. A systematic search was conducted in ClinicalTrials.gov from February 2000 through October 2021 for RCTs with full-text publications. If no full-text publications were found in ClinicalTrials.gov, MEDLINE, Embase, and Google Scholar were also searched. Eligible RCTs were those evaluating the effectiveness of antiplatelets, anticoagulants, blood pressure-lowering drugs, glucose-lowering drugs, or cholesterol-lowering drugs in adults with cardiovascular disease or cardiovascular risk factors. Trials with a sample size of fewer than 100 patients were excluded. In total, 1194 RCTs involving 2 207 677 participants (mean [SD] age, 63 [6] years; 1 343 970 males [64%]) were included. Since 2000, the percentage of cardiovascular RCTs excluding patients with CKD has increased from 66% to 79% (74% overall [884 RCTs]). In 864 RCTs (72%), more patients were excluded than anticipated on safety grounds (63% [306] of trials required no dose adjustment, and 79% [561] required dose adjustment). In total, 158 RCTs (13%) reported results for patients with CKD separately (eg, in subgroup analyses). Significant evidence gaps exist in most CVRM interventions for patients with CKD, particularly for those with CKD stages 4 to 5. Twenty-three RCTs (2%) reported results for patients with an estimated glomerular filtration rate less than 30 mL/min/1.73 m2, 15 RCTs (1%) reported for patients receiving dialysis, and 1 RCT (0.1%) reported for recipients of kidney transplant. Results of this systematic review suggest that representation of patients with CKD in cardiovascular RCTs has not improved in the past 2 decades and that these RCTs excluded more patients with CKD than expected on safety grounds. Lack of reporting or underreporting of results for this patient population is associated with evidence gaps in the effectiveness of most CVRM medications in patients with all stages of CKD, particularly CKD stages 4 to 5.

AbstractObjectiveTo determine whether clinical trial register (CTR) searches can accurately identify a greater number of completed randomized clinical trials (RCTs) than electronic bibliographic database (EBD) searches for systematic reviews of interventions, and to quantify the number of eligible ongoing trials. Study Design and SettingWe performed an evaluation study and based our search for RCTs on the eligibility criteria of a systematic review that focused on the underrepresentation of people with chronic kidney disease in cardiovascular RCTs. We conducted a combined search of ClinicalTrials.gov and the WHO International Clinical Trials Registry Platform (ICTRP) through the Cochrane Central Register of Controlled Trials (CENTRAL) to identify eligible RCTs registered up to June 1 st, 2023. We searched Cochrane CENTRAL, EMBASE, and MEDLINE for publications of eligible RCTs published up to June 5 th, 2023. Finally, we compared the search results to determine the extent to which the two sources identified the same RCTs. ResultsWe included 92 completed RCTs. Of these, 81 had results available. 66 completed RCTs with available results were identified by both sources (81% agreement [95% CI 71 – 88]). We identified seven completed RCTs with results exclusively by CTR search (9% [95% CI 4 – 17]) and eight exclusively by EBD search (10% [95% CI 5 – 18]). 11 RCTs were completed but lacked results (four identified by both sources (36% [95% CI 15 – 65]), one exclusively by EBD search (9% [95% CI 1 – 38]), and six exclusively by CTR search (55% [95% CI 28 – 79]). Also, we identified 42 eligible ongoing RCTs: 16 by both sources (38% [95% CI 25 – 53]) and 26 exclusively by CTR search (62% [95% CI 47 – 75]). Lastly, we identified four RCTs of unknown status by both sources. ConclusionCTR searches identify a greater number of completed RCTs than EBD searches. Both searches missed some included RCTs. Based on our case study, researchers (e.g. information specialists, systematic reviewers) aiming to identify all available RCTs should continue to search both sources. Once the barriers to performing CTR searches alone are targeted, CTR searches may be a suitable alternative.