Using real world data to assess cardiovascular outcomes of two antidiabetic treatment classes

Real-World Electronic Medical Records Data Identify Risk Factors for Myelofibrosis and Can Be Used to Validate Established Prognostic Scores

Myelofibrosis (MF) is a myeloproliferative neoplasia arising de novo as primary myelofibrosis (PMF) or secondary to polycythemia vera or essential thrombocythemia. Patients experience a high symptom burden and a marked reduction in life expectancy. Despite progress in molecular understanding and treatment, the clinical and prognostic heterogeneity of MF complicates treatment decisions. The International Prognostic Scoring System (IPSS) integrates clinical factors for risk stratification in MF. This study leverages the TriNetX database with more than 64,000 MF patients to assess the impact of accessible parameters on survival and complicating events, including AML transformation, cachexia, increased systemic inflammation, thrombosis and hemorrhage. Age over 65 years correlated with increased risks of death, AML transformation, thrombosis and hemorrhage. Anemia (Hb < 10 g/dL), leukocytosis (>25 × 103/µL) and thrombocytopenia (<150 × 103/µL) reduced survival and increased risks across all assessed events. Monocytosis is associated with decreased survival, whereas eosinophilia and basophilia were linked to improved survival. Further, as proof of concept for the applicability of TriNetX for clinical scores, we devised a simplified IPSS, and confirmed its value in predicting outcomes. This comprehensive study underscores the importance of age, anemia, leukocytosis and thrombocytopenia in predicting disease trajectory and contributes to refining prognostic models, addressing the challenges posed by the disease's heterogeneity.

The temporal relationship between antibiotic and opioid prescription on the risk of developing an opioid use disorder: A national database study

Background: Previously, we discovered that subjects co-prescribed both antibiotics and opioids on the same day in a hospital setting displayed an increased risk of developing an opioid use disorder (OUD) 12 months following hospital discharge. The goal of this study was to examine whether prescribing antibiotics in the inpatient or emergency department setting at various time points before or after an opioid prescription impacted the risk OUD.Methods: A propensity score matched cohort study was conducted to identify subjects (18-65 years old) with no previous history of OUD. Two cohorts were defined: subjects who were prescribed antibiotics 0-1, 2-4, 5-7, 8-10, 11-12 months before or after the date of an opioid prescription while in the emergency department or inpatient setting, from the years 2010-2019. The diagnosis of an Opioid Related Disorder (F11.10-F11.20) 12 months following discharge from the emergency department or inpatient unit was then observed.Results: Primary analysis showed that subjects prescribed an antibiotic 0-1 month or 8-10 months before an opioid prescription showed a modest risk of developing an OUD 12 months following an opioid prescription (0.04% and 0.20%, respectively). Similarly, subjects prescribed an antibiotic 0-1 month, 5-7 months, or 8-10 months after an opioid prescription displayed a modest risk of developing OUD 12 months after an opioid prescription (0.02% risk, 0.14% risk, and 0.16% risk, respectively).Conclusions: These findings suggest that there is little to no effect on the risk of developing OUD when antibiotics are prescribed at various time points before or after opioid prescription.

All-cause mortality and cardiovascular outcomes with sodium-glucose Co-transporter 2 inhibitors, glucagon-like peptide-1 receptor agonists and with combination therapy in people with type 2 diabetes

AIM

To assess the relationship of sodium-glucose cotransporter-2 inhibitors (SGLT2i), glucagon-like peptide-1 receptor analogues (GLP-1RA) and their combination (SGLT2i + GLP-1RA) with 5-year risk of all-cause mortality, hospitalization and cardiovascular/macrovascular disease in people with type 2 diabetes.

MATERIALS AND METHODS

Retrospective cohort analysis of 2.2 million people with type 2 diabetes receiving insulin across 85 health care organizations using a global federated health research network. Three intervention cohorts (SGLT2i, GLP-1RA and SGLT2i + GLP-1RA) were compared against a control cohort (no SGLT2i/GLP-1RA). Propensity score matching for age, ischaemic heart disease, sex, hypertension, chronic kidney disease, heart failure and glycated haemoglobin was used to balance cohorts 1:1 (SGLT2i, n = 143 600; GLP-1RA, n = 186 841; SGLT-2i + GLP-1RA, n = 108 504). A sub-analysis comparing combination and monotherapy cohorts was also performed.

RESULTS

The intervention cohorts showed a reduced hazard ratio (HR, 95% confidence interval) over 5 years compared with the control cohort for all-cause mortality (SGLT2i 0.49, 0.48-0.50; GLP-1RA 0.47, 0.46-0.48; combination 0.25, 0.24-0.26), hospitalization (0.73, 0.72-0.74; 0.69, 0.68-0.69; 0.60, 0.59-0.61) and acute myocardial infarct (0.75, 0.72-0.78; 0.70, 0.68-0.73; 0.63, 0.60-0.66), respectively. All other outcomes showed a significant risk reduction in favour of the intervention cohorts. The sub-analysis showed a significant risk reduction in all-cause mortality for combination therapy versus SGLT2i (0.53, 0.50-0.55) and GLP-1RA (0.56, 0.54-0.59).

CONCLUSIONS

SGLT2i, GLP-1RAs or combination therapy confers mortality and cardiovascular protection in people with type 2 diabetes over 5 years. Combination therapy was associated with the greatest risk reduction in all-cause mortality versus a propensity matched control cohort. In addition, combination therapy offers a reduction in 5-year all-cause mortality when compared directly against either monotherapy.

The current role of SGLT2 inhibitors in type 2 diabetes and beyond: a narrative review

INTRODUCTION

Sodium-glucose cotransporter 2 inhibitors (SGLT2is, gliflozins), the most recent oral antihyperglycaemic agents, provide a cardiorenal protection, an effect independent of their glucose-lowering potency.

AREAS COVERED

The antihyperglycaemic potency of SGLT2is was compared with that of dipeptidyl peptidase-4 inhibitors and glucagon-like peptide-1 receptor agonists, especially when added to metformin monotherapy. Main results of cardiovascular/renal outcome trials with SGLT2is were summarized in different populations: patients with type 2 diabetes mellitus (T2DM) with or without established cardiovascular disease, patients (with or without T2DM) with heart failure (with reduced or preserved left ventricular ejection fraction) and in patients (with or without T2DM) with chronic kidney disease (CKD, including stage 4). Original papers and meta-analyses of these different trials have consistently reported a reduction in hospitalization for heart failure (alone or combined with cardiovascular mortality) and a reduced progression of CKD, with an overall good safety profile.

EXPERT OPINION

Global use of SGLT2is has increased over time but remains suboptimal despite clinically relevant cardiovascular and renal protection, particularly in patients most likely to benefit. SGLT2is has proven both positive benefit-risk balance and cost-effectiveness in at risk patients. New prospects are expected in other complications, i.e. metabolic-associated fatty liver disease and neurodegenerative disorders.

Patterns and Patients' Characteristics Associated With Use of Sodium-Glucose Cotransporter-2 Inhibitors Among Adults With Type 2 Diabetes: A Population-based Cohort Study

OBJECTIVES

Our aim in this study was to describe patterns and patient-level factors associated with use of sodium-glucose cotransporter-2 inhibitors (SGLT2is) among adults with diabetes being treated in Alberta, Canada.

METHODS

Using linked administrative data sets from 2014 to 2019, we defined a retrospective cohort of adults with prevalent or incident type 2 diabetes with indications for SGLT2i use and who did not have advanced kidney disease (glomerular filtration rate <30 mL/min per 1.73 m²) or previous amputation. We describe medication dispensation patterns of SGLT2is over time in the overall cohort and among the subgroup with cardiovascular disease (CVD). Multivariable logistic regression was used to determine patients' characteristics associated with SGLT2i use.

RESULTS

Of the 341,827 patients with diabetes (mean age, 60.7 years; 45.6% female), 107,244 (31.3%) had CVD. The proportion of patients with an SGLT2i prescription increased in a linear fashion to a maximum of 10.8% (95% confidence interval [CI], 10.7% to 10.9%) of the eligible cohort by the end of the observation period (March 2019). The proportion of filled prescriptions was similar for patients with CVD (10.4%; 95% CI, 10.1% to 10.6%) and for those without CVD (10.9%; 95% CI, 10.8% to 11.0%). Patients' characteristics associated with lower odds of filling an SGLT2i prescription included female sex, older age and lower income.

CONCLUSIONS

The use of SGLT2is is increasing among patients with diabetes but remains low even in those with CVD. Policy and practice changes to increase prescribing, especially in older adults, may help to reduce morbidity and mortality related to cardiovascular and renal complications.

Five-Year Cardiovascular Outcomes after Infective Endocarditis in Patients with versus without Drug Use History

Background: Disparities in treatment and outcomes of infective endocarditis (IE) between people who use drugs (PWUD) and non-PWUD have been reported, but long-term data on cardiovascular and cerebrovascular outcomes are limited. We aim to compare 5-year rates of mortality, cardiovascular and cerebrovascular events after IE between PWUD and non-PWUD. Methods: Using data from the TriNetX Research Network, we examined 5-year cumulative incidence of mortality, myocardial infarction, heart failure, atrial fibrillation/flutter, ventricular tachyarrhythmias, ischemic stroke, and intracranial hemorrhage in 7132 PWUD and 7132 propensity score-matched non-PWUD patients after a first episode of IE. We used the Kaplan−Meier estimate for incidence and Cox proportional hazards models to estimate relative risk. Results: Matched PWUD were 41 ± 12 years old; 52.2% men; 70.4% White, 19.8% Black, and 8.0% Hispanic. PWUD had higher mortality vs. non-PWUD after 1 year (1−3 year: 9.2% vs. 7.5%, p = 0.032; and 3−5-year: 7.3% vs. 5.1%, p = 0.020), which was largely driven by higher mortality among female patients. PWUD also had higher rates of myocardial infarction (10.0% vs. 7.0%, p < 0.001), heart failure (19.3% vs. 15.2%, p = 0.002), ischemic stroke (8.3% vs. 6.3%, p = 0.001), and intracranial hemorrhage (4.1% vs. 2.8%, p = 0.009) compared to non-PWUD. Among surgically treated PWUD, interventions on the tricuspid valve were more common; however, rates of all outcomes were comparable to non-PWUD. Conclusions: PWUD had higher 5-year incidence of cardiovascular and cerebrovascular events after IE compared to non-PWUD patients. Prospective investigation into the causes of these disparities and potential harm reduction efforts are needed.

Big Data in Cardiology: State-of-Art and Future Prospects

Cardiological disorders contribute to a significant portion of the global burden of disease. Cardiology can benefit from Big Data, which are generated and released by different sources and channels, like epidemiological surveys, national registries, electronic clinical records, claims-based databases (epidemiological Big Data), wet-lab, and next-generation sequencing (molecular Big Data), smartphones, smartwatches, and other mobile devices, sensors and wearable technologies, imaging techniques (computational Big Data), non-conventional data streams such as social networks, and web queries (digital Big Data), among others. Big Data is increasingly having a more and more relevant role, being highly ubiquitous and pervasive in contemporary society and paving the way for new, unprecedented perspectives in biomedicine, including cardiology. Big Data can be a real paradigm shift that revolutionizes cardiological practice and clinical research. However, some methodological issues should be properly addressed (like recording and association biases) and some ethical issues should be considered (such as privacy). Therefore, further research in the field is warranted.

Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative

OBJECTIVE

In response to COVID-19, the informatics community united to aggregate as much clinical data as possible to characterize this new disease and reduce its impact through collaborative analytics. The National COVID Cohort Collaborative (N3C) is now the largest publicly available HIPAA limited dataset in US history with over 6.4 million patients and is a testament to a partnership of over 100 organizations.

MATERIALS AND METHODS

We developed a pipeline for ingesting, harmonizing, and centralizing data from 56 contributing data partners using 4 federated Common Data Models. N3C data quality (DQ) review involves both automated and manual procedures. In the process, several DQ heuristics were discovered in our centralized context, both within the pipeline and during downstream project-based analysis. Feedback to the sites led to many local and centralized DQ improvements.

RESULTS

Beyond well-recognized DQ findings, we discovered 15 heuristics relating to source Common Data Model conformance, demographics, COVID tests, conditions, encounters, measurements, observations, coding completeness, and fitness for use. Of 56 sites, 37 sites (66%) demonstrated issues through these heuristics. These 37 sites demonstrated improvement after receiving feedback.

DISCUSSION

We encountered site-to-site differences in DQ which would have been challenging to discover using federated checks alone. We have demonstrated that centralized DQ benchmarking reveals unique opportunities for DQ improvement that will support improved research analytics locally and in aggregate.

CONCLUSION

By combining rapid, continual assessment of DQ with a large volume of multisite data, it is possible to support more nuanced scientific questions with the scale and rigor that they require.

COVID-19-Related Trends and Characteristics of Type 2 Diabetes Mellitus and Metabolic Syndrome

Background

Although there have been several studies associating obesity with severe coronavirus disease 2019 (COVID-19) outcomes, the potential impact of the pandemic on type 2 diabetes mellitus (T2DM) and metabolic syndrome (MetS) incidence is less clear. Furthermore, reports on the characteristics of these patients during the pandemic have been scarce.

Objectives

The purpose of this retrospective study was 1) to explore the impact of the COVID-19 pandemic on T2DM and MetS incidence, and 2) to describe sex-based differences in the characteristics of T2DM and MetS patients during the COVID-19 pandemic.

Methods

Using electronic health records (EHRs) obtained from the USA-based TriNetX research database (TriNetX, Cambridge, MA), the incidence and the total number of patients with “T2DM (ICD-10-CM: E11)” and “MetS (ICD-10-CM: E88.81)” prior to and during the COVID-19 pandemic were determined. Aggregate lab data from EHRs were extracted and statistical analyses on the lab values and patient demographics including sex, race/ethnicity, and comorbidities were performed.

Results

After analyzing T2DM and MetS patient data from 2018, 2019, and 2020, we observed a considerable decrease in both T2DM and MetS incidence, with data in April 2020 exhibiting the largest decrease when compared to other months. Furthermore, monthly male T2DM and MetS patients’ lab data revealed worsening parameters in April 2020, such as hemoglobin A1c (HbA1C) and blood glucose, when compared to females. Demographic data during 2020 revealed that male T2DM and MetS patients had a significantly higher prevalence of comorbidities including hypertension, ischemic heart disease, and heart failure, but female T2DM and MetS patients had significantly higher asthma comorbidity.

Conclusions

During 2020, there was a marked decrease in T2DM and MetS diagnosis. Due to a lack of screening, these data may suggest a subsequent increase in T2DM and MetS-related heart disease in the future and may magnify the existing sex-related differences identified in these patients.

Association between radicular low back pain and constipation: a retrospective cohort study using a real-world national database

INTRODUCTION

Previous observational studies have reported an association between lumbosacral radiculopathy (LSR), a form of low back pain (LBP) with nerve root involvement, and constipation. However, it is unclear whether this association is due to confounding variables such as comorbidities and medications.

OBJECTIVES

This study explores the possible association between LSR and constipation, with the hypothesis that adults with LSR have increased odds of developing constipation compared with those with nonradicular LBP.

METHODS

Adults aged 18 to 49 years with incident LSR and nonradicular LBP were identified from a national 70 million patient electronic health records network (TriNetX). Propensity score matching (PSM) was used to control for covariates and determine the odds ratio (OR) of constipation over a 1-year follow-up. Lumbar stenosis, cauda equina syndrome, and inflammatory bowel diseases were excluded.

RESULTS

After PSM, 503,062 patients were in each cohort. Before PSM, the likelihood of constipation was identical between cohorts (LSR 10.8% vs 10.9%; OR [confidence interval] = 0.99 [0.98-1.0], P = 0.251). This association was unchanged after PSM (LSR 10.8% vs 11.1%; OR [confidence interval] = 0.98 [0.97-0.99]; P = 0.003).

CONCLUSIONS

The study hypothesis can be refuted given that the OR approximated the null in a large propensity-matched sample. Patients with LSR have equivalent odds of constipation compared with those with nonradicular LBP, suggesting that LSR is not a direct cause of constipation. The similar risk of constipation between cohorts could be explained by factors common to LBP in general, such as pain severity, physical inactivity, and constipating medications.

The effect of sodium-glucose transport protein 2 inhibitors on mortality and heart failure in randomized trials versus observational studies

AIM

Randomized clinical trials (RCTs) allocating type 2 diabetes patients to treatment with sodium-glucose transport protein 2 (SGLT-2) inhibitors or placebo have found significant effects on the risk of heart failure and modest effects on mortality. In the wake of the first trials, a number of observational studies have been conducted, some of these reporting a mortality reduction of 50% compared to active comparators. In this review, we systematically assess and compare the results on all-cause mortality, cardiovascular mortality and heart failure hospitalization observed in RCTs with the results obtained in observational studies.

METHOD

We performed a systematic bibliographical search including cardiovascular outcome trials and observational studies assessing the effect of SGLT-2 inhibitors on mortality and heart failure.

RESULTS

Seven RCTs and 23 observational studies were included in the current review. The observed heterogeneity between study results for all-cause mortality (p-interaction < 0.001) and cardiovascular mortality (p-interaction < 0.001) was explained by study type, whereas this was not the case for heart failure (p-interaction = 0.18).

CONCLUSION

Methodological considerations such as the omission of important confounders, immortal-time bias and residual confounding such as unmeasured social economic inequality may be the cause of the inflated results observed in observational studies and that calls for caution when observational studies are used to guide treatment of patients with type 2 diabetes.

The effect of prescribing antibiotics with opioids on the development of opioid use disorder: a national database study

The goal of this study was to examine the impact of inpatient- or emergency department- prescribed antibiotic treatment in combination with opioids on the risk of developing opioid use disorder 12 months following discharge from the hospital. The authors conducted a propensity score-matched cohort study with data from the TriNetX Research Network database to identify adult subjects (18-65 years old) with no previous history of an opioid use disorder. Three cohorts were defined for the analyses: subjects who were prescribed an opioid, opioid in combination with an antibiotic, or an antibiotic while in the emergency department or inpatient unit, from the years 2012 to 2018. The diagnosis of an Opioid Related Disorder (F11.10-F11.20) 12 months following discharge from the emergency department or inpatient unit was then observed within the cohorts following the index event as identified by the ICD-10 procedural coding system. Primary analysis (propensity-score matched on age and sex) showed that opioids prescribed in combination with antibiotics had a protective effect against the development of opioid use disorder. This effect was consistent throughout all of the years included in this study with the smallest protective effect observed in 2018 (2012 risk ratio = 1.27 (95% CI: 1.23, 1.32); 2018 risk ratio: 1.03 (95% CI: 1.01, 1.05). These findings suggest that opioids prescribed in combination with antibiotics in the hospital setting are protective against the development of OUD at later time points following hospital discharge.

Antimuscarinic Cascade Across Individual Cholinesterase Inhibitors in Older Adults with Dementia

BACKGROUND

Acetylcholinesterase inhibitors (AChEIs) have been associated with an increased risk of starting antimuscarinic treatment to treat overactive bladder (OAB)-an example of a prescribing cascade. Limited comparative data exist regarding the prescribing cascade of antimuscarinics across individual AChEIs in older adults with dementia.

OBJECTIVE

This study examined the association between individual AChEI use and antimuscarinic cascade in older adults with dementia.

METHODS

We conducted a new user retrospective cohort study from January 2005 to December 2018 using data from the TriNetX electronic medical record database, a federated electronic medical records network in the US. The cohort included patients 65 years or older with a diagnosis of dementia using AChEIs (donepezil, galantamine, or rivastigmine). Individual AChEIs were identified with index dates from 1 January 2006 to 31 June 2018, with a 1-year washout period. The study excluded patients with any antimuscarinic use and OAB diagnosis 1 year before the AChEI index date. The primary outcome of interest was the prescription of antimuscarinics within 6 months of the AChEI index date. A Cox proportional hazard model was used to assess the association between individual incident AChEI use and antimuscarinic prescribing cascade after controlling for several covariates.

RESULTS

The study included 47,059 older adults with dementia who were incident users of AChEIs. Most of these patients were initiated with donepezil (83.1%), followed by rivastigmine (12.3%) and galantamine (4.6%). Overall, 8.16% of the study cohort had incident OAB diagnosis or antimuscarinic prescription. Antimuscarinics were initiated by 1725 (3.7%) older adults with dementia within 6 months of AChEI prescription, and cascade varied widely across individual agents-donepezil (3.9%), rivastigmine (2.6%), and galantamine (2.9%). Cox proportional hazard analyses revealed that donepezil users had an increased risk of receiving antimuscarinics (adjusted hazard ratio 1.55, 95% confidence interval 1.31-1.83) compared with rivastigmine. The findings were consistent in sensitivity analyses.

CONCLUSION

This study found that donepezil use is more likely to lead to antimuscarinic cascade than rivastigmine. Future studies are needed to determine the potential consequences of this cascade in dementia.

The Impact of Substance Use Disorder on COVID-19 Outcomes

OBJECTIVE

The goal of this study was to examine the impact of substance use disorder on the risk of hospitalization, complications, and mortality among adult patients diagnosed as having COVID-19.

METHODS

The authors conducted a propensity score (PS)-matched double-cohort study (N=5,562 in each cohort) with data from the TriNetX Research Network database to identify 54,529 adult patients (≥18 years) diagnosed as having COVID-19 between February 20 and June 30, 2020.

RESULTS

Primary analysis (PS matched on demographic characteristics and presence of diabetes and obesity) showed that substance use disorder was associated with an increased risk of hospitalization (odds ratio [OR]=1.84, 95% confidence interval [CI]=1.69-2.01), ventilator use (OR=1.45, 95% CI=1.22-1.72), and mortality (OR=1.30, 95% CI=1.08-1.56).

CONCLUSIONS

The findings suggest that COVID-19 patients with substance use disorders are at increased risk for adverse outcomes. The attenuation of ORs in the model that matched for chronic respiratory and cardiovascular diseases associated with substance abuse suggests that the observed risks may be partially mediated by these conditions.

Rates of delirium associated with calcium channel blockers compared to diuretics, renin-angiotensin system agents and beta-blockers: An electronic health records network study

BACKGROUND

Antihypertensive drugs, especially calcium channel blockers, have been associated with differential rates of a number of neuropsychiatric outcomes. Delirium is commonly attributed to medication, including antihypertensive drugs, but delirium incidence has not been compared directly between antihypertensive drug classes.

METHODS

Using a federated electronic health records network of 25.5 million people aged 50 years or older, we measured rates of delirium over a two-year period in patients prescribed calcium channel blockers compared to the other main antihypertensive drug classes. Extensive propensity score matching was used to create cohorts matched for a range of demographic factors and delirium risk factors. Negative control outcomes were also measured.

RESULTS

Cohort sizes ranged from 54,000-577,000. Delirium was more common with calcium channel blockers than with renin-angiotensin system agents (~40% higher) but less common than with beta-blockers (~20% lower). These differences remained when patients with a range of other delirium risk factors were excluded, and they were not paralleled by the negative control outcomes. Comparisons between calcium channel blockers and diuretics produced inconclusive results.

CONCLUSIONS

Calcium channel blockers are associated with higher rates of delirium than renin-angiotensin system agents, but lower rates compared to beta-blockers. The findings add to the list of factors which may be considered when choosing antihypertensive drug class.

Costs associated with renal and cardiovascular events among patients with type 2 diabetes mellitus and nephropathy: a cost model based on the CREDENCE clinical trial

Objective: To estimate the avoided costs associated with reductions in end-stage kidney disease (ESKD), certain CV events (non-fatal myocardial infarction [MI], non-fatal stroke, hospitalization for heart failure [HHF]), and renal and CV death for patients treated with canagliflozin versus placebo, based on CREDENCE trial results.Methods: Renal (including ESKD) and CV events averted, based on the differences in adjusted rates of events between the canagliflozin and placebo arms in CREDENCE, were projected to the proportion of the members of a managed care organization (MCO) fitting the inclusion criteria in CREDENCE (i.e. diabetic nephropathy, at least 30 years old). The number of events averted for the population was multiplied by the unit-cost of the event, extracted from a targeted literature review, to obtain costs avoided per member per year (PMPY). One-way sensitivity analysis provided a range for the cost avoided PMPY, based on variations in the events averted, unit cost and size of the projected population.Results: Costs avoided PMPY were $2.92 for ESKD with a range of $1.28-$4.20. Costs avoided PMPY were $0.54 (-$0.28-$1.16) for non-fatal MI, $0.30 (-$0.22-$0.65) for non-fatal stroke, $1.56 ($0.80-$2.11) for HHF, $0.06 ($0.05-$0.07) for renal death, and $0.51 ($0.00-$0.91) for CV death. For non-fatal MI and non-fatal stroke, the lower bound of the range is interpreted as an incremental cost.Conclusions: Positive costs avoided for each of the outcomes considered were predicted in the main analysis, with ESKD as the outcome predicted to have the greatest costs avoided at $2.92 PMPY.

Effectiveness in clinical practice versus efficacy of dipeptidyl peptidase-4 inhibitors in clinical trials for type 2 diabetes: protocol for systematic review

INTRODUCTION

Data supporting the use of oral antidiabetic drugs mainly rely on data from premarketing clinical trials. Real-world data studies are crucial to evaluate effectiveness of drugs. The aim of this systematic review is to compare the results obtained for efficacy and effectiveness endpoints on clinical trials and those obtained from routine clinical practice of dipeptidyl peptidase-4 inhibitors.

METHODS AND ANALYSIS

This systematic review will include randomised controlled trials and observational studies evaluating the efficacy and effectiveness of dipeptidyl peptidase-4 inhibitors, respectively. A literature search will be performed at Medline, Embase, Cochrane Controlled Register of Trials and ClinicalTrials.gov. Search terms comprised the drug name (including the pharmacotherapeutic class and the international non-proprietary name). Data on haemoglobin A1C, blood glucose and body weight will be retrieved. The risk of bias will be independently assessed according to the checklist proposed by Downs and Black. Data will be analysed using descriptive statistics and meta-analysis when applicable.

ETHICS AND DISSEMINATION

Ethical approval is not required as no primary data are collected. This systematic review will be disseminated through a peer-reviewed publication and at conference meetings.