Recognizing the growing need for robust evidence about treatment effectiveness in real-world populations, the Good Research for Comparative Effectiveness (GRACE) guidelines have been developed for ...noninterventional studies of comparative effectiveness to determine which studies are sufficiently rigorous to be reliable enough for use in health technology assessments.
To evaluate which aspects of the GRACE Checklist contribute most strongly to recognition of quality.
We assembled 28 observational comparative effectiveness articles published from 2001 to 2010 that compared treatment effectiveness and/or safety of drugs, medical devices, and medical procedures. Twenty-two volunteers from academia, pharmaceutical companies, and government agencies applied the GRACE Checklist to those articles, providing 56 assessments. Ten senior academic and industry experts provided assessments of overall article quality for the purpose of decision support. We also rated each article based on the number of annual citations and impact factor of the journal in which the article was published. To identify checklist items that were most predictive of quality, classification and regression tree (CART) analysis, a binary, recursive, partitioning methodology, was used to create 3 decision trees, which compared the 56 article assessments with 3 external quality outcomes: (1) expert assessment of overall quality, (2) citation frequency, and (3) impact factor. A fourth tree looked at the composite outcome of all 3 quality indicators.
The best predictors of quality included the following: use of concurrent comparators, limiting the study to new initiators of the study drug, equivalent measurement of outcomes in study groups, collecting data on most if not all known confounders or effect modifiers, accounting for immortal time bias in the analysis, and use of sensitivity analyses to test how much effect estimates depended on various assumptions. Only sensitivity analyses appeared consistently as a predictor of quality in all 4 trees. When a composite outcome of the 3 quality measures was used, the GRACE Checklist showed high sensitivity and specificity (71.43% and 80.95%, respectively).
The GRACE Checklist stands out from other consensus-driven and expert guidance documents because of its extensive validation efforts. This most recent work shows that the checklist has strong sensitivity and specificity, increasing its utility as a screening tool to identify high-quality observational comparative effectiveness research worthy of in-depth review and applicability for decision support.
No outside funding supported this research. All authors are full-time employees of Quintiles, which provides research and consulting services to the biopharmaceutical industry. The authors have no other disclosures to report. Two of the 3 CART trees were presented at the International Society of Pharmacepidemiology in 2015 ("Article Citations per Year" and "Journal Impact Factor"). The original validation study was published in the March 2014 issue of the Journal of Managed Care & Specialty Pharmacy. The checklist questions and scoring were included using a table that was originally published by this journal in 2014. Study concept and design were primarily contributed by Dreyer and Velentgas, along with Bryant. Bryant took the lead in data collection and analysis, along with Dreyer and Velentgas, and data interpretation was performed by Dreyer, Velentgas, and Bryant. The manuscript was written and revised primarily by Dreyer, along with Bryant and Velentgas.
Uterine fibroids are non-cancerous overgrowths of the smooth muscle in the uterus. As they grow, some cause problems such as heavy menstrual bleeding, pelvic pain, discomfort during sexual ...intercourse, and rarely pregnancy complications or difficulty becoming pregnant. Multiple treatment options are available. The lack of comparative evidence demonstrating superiority of any one treatment means that choosing the best option is sensitive to individual preferences. Women with fibroids wish to consider treatment trade-offs. Tools known as patient decision aids (PDAs) are effective in increasing patient engagement in the decision-making process. However, the implementation of PDAs in routine care remains challenging. Our aim is to use a multi-component implementation strategy to implement the uterine fibroids Option Grid™ PDAs at five organizational settings in the USA.
We will conduct a randomized stepped-wedge implementation study where five sites will be randomized to implement the uterine fibroid Option Grid PDA in practice at different time points. Implementation will be guided by the Consolidated Framework for Implementation Research (CFIR) and Normalization Process Theory (NPT). There will be a 6-month pre-implementation phase, a 2-month initiation phase where participating clinicians will receive training and be introduced to the Option Grid PDAs (available in text, picture, or online formats), and a 6-month active implementation phase where clinicians will be expected to use the PDAs with patients who are assigned female sex at birth, are at least 18 years of age, speak fluent English or Spanish, and have new or recurrent symptoms of uterine fibroids. We will exclude postmenopausal patients. Our primary outcome measure is the number of eligible patients who receive the Option Grid PDAs. We will use logistic and linear regression analyses to compare binary and continuous quantitative outcome measures (including survey scores and Option Grid use) between the pre- and active implementation phases while adjusting for patient and clinician characteristics.
This study may help identify the factors that impact the implementation and sustained use of a PDA in clinic workflow from various stakeholder perspectives while helping patients with uterine fibroids make treatment decisions that align with their preferences.
Clinicaltrials.gov , NCT03985449. Registered 13 July 2019, https://clinicaltrials.gov/ct2/show/NCT03985449.
Highlights ► We examine algorithms that improve identification of true GBS cases in claims data. ► Only 29% of patients with ICD-9 code 357.0 were confirmed cases of GBS. ► Inpatient GBS code ...(primary position) and neurology visit gave highest PPV (70%). ► Leading algorithm performs similarly in 4 different claims environments.
The RiGOR study provides a current picture of the types of glaucoma treatment over 12 months.
Patients were identified and enrolled at the time of decision to proceed with laser surgery procedure or ...other procedure such as incisional surgery or drainage device implantation, or initiation of a new or additional course of therapy with medication for glaucoma treatment.
The most frequent type of treatments were prostaglandin analogues (60%) among patients with additional medication, selective laser trabeculoplasty (87%) among patients with laser surgery and trabeculectomy (57%) among patients with incisional surgery.
For 36% of patients, a treatment cascade involves two or more therapies over a year. This demonstrates the complex nature of open-angle glaucoma treatment.
Many patients with type 2 diabetes (T2D) and chronic kidney disease (CKD) experience a delay in treatment or fail to initiate treatment with guideline-recommended angiotensin-converting enzyme ...inhibitors (ACEis) or angiotensin receptor blockers (ARBs) after CKD diagnosis. This study aimed to describe treatment patterns and treatment initiation after initial CKD diagnosis among patients with T2D.
Retrospective analysis using data from the Optum Clinformatics Data Mart administrative claims database (January 2014-September 2018).
Adult patients with T2D entered the cohort if they met the criteria for CKD, defined as 2 laboratory test results 90 to 365 days apart (January 2014-September 2017) indicating CKD. Included were patients with no prior use of ACEis or ARBs or evidence of kidney disease in the 365 days prior to cohort entry (baseline). Patients were followed for a maximum of 365 days and were censored on death, disenrollment, or end of data. Patient demographics, comorbidities, and medication use were assessed at baseline, and treatments were assessed over a 1-year followup period. Multivariate logistic regression was used to identify factors associated with ACEi or ARB initiation.
Among 15,400 eligible patients without prior ACEi or ARB treatment, only 17% initiated such therapy within a year after meeting CKD criteria. Patients who were White, resided in the northeastern United States, had more comorbidities, had less advanced albuminuria, or used sodium-glucose cotransporter 2 inhibitors were less likely to initiate treatment.
A large proportion of patients with T2D meeting criteria for CKD do not initiate the recommended therapy within 1 year of CKD diagnosis, highlighting a need for new therapies that can slow the progression of CKD.
Abstract Background The extent to which sweat chloride concentration predicts survival and clinical phenotype independently of CFTR genotype in cystic fibrosis is not well understood. Methods We ...analyzed the US Cystic Fibrosis Foundation Patient Registry data using Cox regression to examine the relationship between sweat chloride concentration (< 60, 60–< 80, ≥ 80 mmol/L), CFTR genotype (high and lower risk for lung function decline), and survival and mixed linear regression to examine the relationship between sweat chloride, CFTR genotype, and measures of lung function and growth. Results When included in the same model, CFTR genotype, but not sweat chloride, was independently associated with survival and with lung function, height, and BMI. Among patients with unclassified CFTR genotype, sweat chloride was an independent predictor of survival (< 60 HR 0.53 0.37, 0.77, 60–< 80 0.51 0.42, 0.63). Conclusions Sweat chloride concentration may be a useful predictor of mortality and clinical phenotype when CFTR genotype functional class is unclassified.
ABSTRACT
Background
Chronic kidney disease (CKD), one of the most common complications of type 2 diabetes (T2D), is associated with poor health outcomes and high healthcare expenditures. As the CKD ...population increases, a better understanding of the prevalence and progression of CKD is critical. However, few contemporary studies have explored the progression of CKD relative to its onset in T2D patients using established markers derived from real-world care settings.
Methods
This retrospective, population-based cohort study assessed CKD progression among adults with T2D and with newly recognized CKD identified from US administrative claims data between 1 January 2008 and 30 September 2018. Included were patients with T2D and laboratory evidence of CKD as indicated by the established estimated glomerular filtration rate (eGFR) and urine albumin:creatinine ratio (UACR) criteria. Disease progression was described as transitions across the eGFR- and UACR-based stages.
Results
A total of 65 731 and 23 035 patients with T2D contributed to the analysis of eGFR- and UACR-based CKD stage progression, respectively. CKD worsening was observed in approximately 10–17% of patients over a median follow-up of 2 years. Approximately one-third of patients experienced an increase in eGFR values or a decrease in UACR values during follow-up.
Conclusions
A relatively high proportion of patients were observed with disease progression over a short period of time, highlighting the need for better identification of patients at risk of rapidly progressive CKD. Future studies are needed to determine the clinical characteristics of these patients to inform earlier diagnostic and therapeutic interventions aimed at slowing disease progression.
Graphical Abstract
Global use of pneumococcal conjugate vaccines (PCVs) with increasingly broader serotype coverage has helped to reduce the burden of pneumococcal disease in children and adults. In clinical studies ...comparing PCVs, higher-valency PCVs have met noninferiority criteria (based on immunoglobulin G geometric mean concentrations and response rates) for most shared serotypes. A numeric trend of declining immunogenicity against shared serotypes with higher-valency PCVs has also been observed; however, the clinical relevance is uncertain, warranting additional research to evaluate the effectiveness of new vaccines. Novel conjugation processes, carriers, adjuvants, and vaccine platforms are approaches that could help maintain or improve immunogenicity and subsequent vaccine effectiveness while achieving broader protection with increasing valency in pneumococcal vaccines.
Improving the targeted use of drug regimens requires robust real-world evidence (RWE) to address the uncertainties that remain regarding their real-world performance following market entry. However, ...challenges in the current state of RWE production limit its impact on clinical decisions, as well as its operational scalability and sustainability. We propose an adaptive point-of-care (APoC) platform trial as an approach to RWE production that improves both clinical and operational efficiencies.
We explored design innovations, operational challenges, and infrastructure needs within a multi-stakeholder consortium to evaluate the potential of an APoC platform trial for studying chronic disease treatment regimens using rheumatoid arthritis as a case study. The concept integrates elements from adaptive clinical trials (dynamic treatment regimen strategies) and point-of-care trials (research embedded into routine clinical care) under a perpetual platform infrastructure. The necessary components to implement an APoC platform trial within outpatient settings exist, and present an opportunity for a cross-disciplinary, multi-stakeholder approach. Effective engagement of key stakeholders involved in and impacted by the platform is critical to success. Our collaborative design process identified three high-impact stakeholder-engagement areas: (1) focus on research question(s), (2) design and implementation planning such that it is feasible and fit-for-purpose, and (3) measurement, or meaningful metrics for both clinical (patient outcomes) and system (operational efficiencies) impact.
An APoC platform trial for rheumatoid arthritis integrating innovative design elements in a scalable infrastructure has the potential to reduce important uncertainties about the real-world performance of biomedical innovations and improve clinical decisions.
•Real-world evidence is critical to optimize use of new drugs in routine practice.•The current paradigm of randomized real-world trials is costly and inefficient.•We propose an agile, efficient approach to study chronic disease treatment regimens.•We combine point-of-care trial, adaptive design, and platform infrastructure.•Our multi-stakeholder consortium identified key areas for successful implementation.
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