Conducting Real-world Evidence Studies on the Clinical Outcomes of Diabetes Treatments

Zoledronic acid for hip fracture during initial hospitalization

Inpatient zoledronic acid (IP-ZA) administered during the initial fracture hospitalization significantly improves the osteoporosis treatment rate. Clinical outcomes of IP-ZA after hip fracture remain uncertain. Here we report a cohort study that emulated a randomized controlled trial using real-world data and evaluated the risk of all-cause-mortality and radiologically confirmed subsequent new fractures among patients hospitalized for a hip fracture who had received IP-ZA as compared with propensity-matched controls. A total of 654 patients who had received IP-ZA and 6877 controls (for whom anti-osteoporosis treatment was indicated but no IP-ZA started during index hospitalization) were included in the study. The primary cohort comprised 652 IP-ZA patients (IP-ZA group) and 1926 matched controls (untreated group), with 71.7% female 92.1% White participants, with a mean age of 80.9 years. Cumulative all-cause mortality over the 24-month follow-up for the IP-ZA group was 12.3% and 20.7% for the untreated group (hazard ratio [HR], 0.62; 95% CI, 0.49-0.78, p < .001). A total of 585 (89.7%) patients in IP-ZA group received only a single dose of ZA during the 24 months, and the death rate of this single dose group was 13.3%, which was significantly lower than that of the untreated group (HR, 0.70; 95% CI, 0.55-0.89, p = .003). Rates of radiologically confirmed cumulative subsequent new vertebral fractures were 2.0% in the IP-ZA group and 5.4% in the untreated group (HR, 0.40; 95% CI, 0.22-0.71, p = .001). A similarly lower rate of new vertebral fractures was seen in the single dose subgroup (1.9% vs 5.4%; HR, 0.44; 95% 0.24-0.82, p = .008). IP-ZA, administered during the initial hospitalization for hip fracture, was associated with lower all-cause-mortality and risk of radiologically confirmed subsequent new vertebral fractures, and thus offers a mechanism to narrow the treatment gap in patients having sustained a hip fragility fracture.

GLP-1RA vs DPP-4i Use and Rates of Hyperkalemia and RAS Blockade Discontinuation in Type 2 Diabetes

Importance

Hyperkalemia is a common complication in people with type 2 diabetes (T2D) that may limit the use of guideline-recommended renin-angiotensin system inhibitors (RASis). Emerging evidence suggests that glucagon-like peptide-1 receptor agonists (GLP-1RAs) increase urinary potassium excretion, which may translate into reduced hyperkalemia risk.

Objective

To compare rates of hyperkalemia and RASi persistence among new users of GLP-1RAs vs dipeptidyl peptidase-4 inhibitors (DPP-4is).

Design, Setting, and Participants

This cohort study included all adults with T2D in the region of Stockholm, Sweden, who initiated GLP-1RA or DPP-4i treatment between January 1, 2008, and December 31, 2021. Analyses were conducted between October 1, 2023, and April 29, 2024.

Exposures

GLP-1RAs or DPP-4is.

Main Outcomes and Measures

The primary study outcome was time to any hyperkalemia (potassium level >5.0 mEq/L) and moderate to severe (potassium level >5.5 mEq/L) hyperkalemia. Time to discontinuation of RASi use among individuals using RASis at baseline was assessed. Inverse probability of treatment weights served to balance more than 70 identified confounders. Marginal structure models were used to estimate per-protocol hazard ratios (HRs).

Results

A total of 33 280 individuals (13 633 using GLP-1RAs and 19 647 using DPP-4is; mean [SD] age, 63.7 [12.6] years; 19 853 [59.7%] male) were included. The median (IQR) time receiving treatment was 3.9 (1.0-10.9) months. Compared with DPP-4i use, GLP-1RA use was associated with a lower rate of any hyperkalemia (HR, 0.61; 95% CI, 0.50-0.76) and moderate to severe (HR, 0.52; 95% CI, 0.28-0.84) hyperkalemia. Of 21 751 participants who were using RASis, 1381 discontinued this therapy. The use of GLP-1RAs vs DPP-4is was associated with a lower rate of RASi discontinuation (HR, 0.89; 95% CI, 0.82-0.97). Results were consistent in intention-to-treat analyses and across strata of age, sex, cardiovascular comorbidity, and baseline kidney function.

Conclusions

In this study of patients with T2D managed in routine clinical care, the use of GLP-1RAs was associated with lower rates of hyperkalemia and sustained RASi use compared with DPP-4i use. These findings suggest that GLP-1RA treatment may enable wider use of guideline-recommended medications and contribute to clinical outcomes in this population.

Treatment modification patterns of glucose-lowering agents in Saudi Arabia: A retrospective real-world data analysis

AIM

The growing number of antidiabetics has broadened therapeutic options, leading to heterogeneity in prescribing patterns. Studies identifying antidiabetics modification patterns are lacking in Saudi Arabia. Therefore, the aim of this study is to describe modification patterns in Saudi patients.

METHODS

Patients ≥ 18 years old with at least one antidiabetic between 2016 and 2022 were included. Follow-up started from the earliest to the last prescription.Two modification types were evaluated: "add-on," prescribing new antidiabetics within a treatment episode, and "switching", starting a new treatment episode after the preceding ends. Descriptive statistics were used to characterize patients and estimate events proportions.

RESULTS

Of 122,291 patients, 47.2 % had treatment interruption or modification, totaling 303,781 events. Interruptions accounted for 54 %, add-on for 11 %, and switching for 35 %. The median time to first event was 159 days. The most add-on included dipeptidyl peptidase-4 inhibitor (DPP-4) inhibitors to biguanide and sulfonylurea (8 %), and sulfonylurea to biguanide (8 %). Among 106,405 switching events, 23 % shifted from dual to monotherapy and 17 % from monotherapy to dual therapy.

CONCLUSION

Nearly half of patients experienced modifications or interruptions, with notable shifts between monotherapies and dual therapies. These findings highlight the evolving landscape of treatment patterns in Saudi Arabia and guide future research and decision-making.

Enrollment of Black, Indigenous and People of Color (BIPOC) and female participants in the US diabetes trials spanning 2000 to 2020: A chronological survey

AIMS

Little is known about the enrollment practice of both Black, Indigenous and People of Color (BIPOC) and females in the US diabetes trials. We aimed to perform a chronological survey to evaluate the enrollment of BIPOC and female participants in the US diabetes randomized controlled trials (RCTs) over the past two decades.

METHODS

We searched databases to systematically include the US diabetes RCTs from 2000 January 1st to 2020 December 31st. Primary outcome was the adequate enrollment of both BIPOC and females, defined by the participation to prevalence ratio (PPR) > 0.8. We tested the temporal trend in adequate enrollment over time and used logistic regression analysis to explore the relationship between adequate enrollment and trial characteristics.

RESULTS

A total of 69 US diabetes trials were included for analyses, with a median BIPOC and female enrollment percentage of 29.0 % and 45.4 % respectively. There were 22 (31.9 %) trials with adequate enrollment of both BIPOC and females. No significant trend of adequate enrollment percentage of BIPOC and females over time was observed (P = 0.16). Of trial types, those with medication interventions were significantly related to decreased odds of adequate enrollment, when compared to trials with non-drug interventions (odds ratio = 0.29, 95 % confidence interval: 0.11-0.84).

CONCLUSIONS

Less than one third of the US diabetes trials adequately enrolled both BIPOC and females over the past two decades, and no temporal improvement in BIPOC and female participant enrollment was observed. These results highlight the need for more endeavors to mitigate inadequate representation regarding BIPOC and female enrollment in diabetes trials.

Enhancing External Control Arm Analyses through Data Calibration and Hybrid Designs

Almost all external control arm analyses to contextualize findings of a single arm trial struggle with two key issues: the lack of baseline randomization, and equally important, the difference in data collection between the experimental arm with its primary data collection, and the external control arm using secondary data. We illustrate the data calibration design to remedy issues arising from differential measurements in the two arms, and discuss the hybrid design that expands an underpowered randomized internal control arm with real-world data to mitigate the lack of randomization of the external control arm. We show how the two approaches fit into an evidence-development strategy that naturally builds on the incremental insights gained.

Real-world effectiveness and safety of insulin glargine 100 U/mL plus lixisenatide in adults with type 2 diabetes: An international, multicentre, 12-month, prospective observational study

AIM

To assess the impact of insulin glargine (100 U/mL) and lixisenatide (iGlarLixi) fixed-ratio combination therapy on the overall management of glycaemia in patients with type 2 diabetes (T2D), previously inadequately controlled with oral antidiabetic drugs ± basal insulin or glucagon-like peptide-1 receptor agonists (GLP-1 RAs).

MATERIALS AND METHODS

This 12-month, international, multicentre, prospective, observational study included patients (age ≥ 18 years) with T2D who had initiated iGlarLixi within 1 month prior to study inclusion. Data were collected at study inclusion, month 3, month 6 and month 12 from patient diaries, self-measured plasma glucose, and questionnaires. The primary endpoint was change in HbA1c from baseline to month 6.

RESULTS

Of the 737 eligible participants (mean age: 57.8 [standard deviation: 11.2] years; male: 49%), 685 had baseline and post-baseline HbA1c data available. The least squares mean change in HbA1c from baseline to month 6 was -1.4% (standard error [95% confidence interval (CI)]: 0.05 [-1.5, -1.3]). The absolute change from baseline at month 12 was -1.7% ± 1.9% (95% CI: -1.9, -1.5). There were 72 hypoglycaemia events reported during the study period, with a very low incidence of severe hypoglycaemia (two participants [rate: 0.003 events per patient-year]).

CONCLUSIONS

This real-world observational study shows that initiation of iGlarLixi in people with T2D inadequately controlled on oral antidiabetic drugs ± basal insulin or GLP-1 RAs improves glycaemic control with a low incidence of hypoglycaemia.

SGLT-2 inhibitors, GLP-1 receptor agonists, and DPP-4 inhibitors and risk of hyperkalemia among people with type 2 diabetes in clinical practice: population based cohort study

OBJECTIVES

To evaluate the comparative effectiveness of sodium-glucose cotransporter-2 (SGLT-2) inhibitors, glucagon-like peptide-1 (GLP-1) receptor agonists, and dipeptidyl peptidase-4 (DPP-4) inhibitors in preventing hyperkalemia in people with type 2 diabetes in routine clinical practice.

DESIGN

Population based cohort study with active-comparator, new user design.

SETTING

Claims data from Medicare and two large commercial insurance databases in the United States from April 2013 to April 2022.

PARTICIPANTS

1:1 propensity score matched adults with type 2 diabetes newly starting SGLT-2 inhibitors versus DPP-4 inhibitors (n=778 908), GLP-1 receptor agonists versus DPP-4 inhibitors (n=729 820), and SGLT-2 inhibitors versus GLP-1 receptor agonists (n=873 460).

MAIN OUTCOME MEASURES

Hyperkalemia diagnosis in the inpatient or outpatient setting. Secondary outcomes were hyperkalemia defined as serum potassium levels ≥5.5 mmol/L and hyperkalemia diagnosis in the inpatient or emergency department setting.

RESULTS

Starting SGLT-2 inhibitor treatment was associated with a lower rate of hyperkalemia than DPP-4 inhibitor treatment (hazard ratio 0.75, 95% confidence interval (CI) 0.73 to 0.78) and a slight reduction in rate compared with GLP-1 receptor agonists (0.92, 0.89 to 0.95). Use of GLP-1 receptor agonists was associated with a lower rate of hyperkalemia than DPP-4 inhibitors (0.79, 0.77 to 0.82). The three year absolute risk was 2.4% (95% CI 2.1% to 2.7%) lower for SGLT-2 inhibitors than DPP-4 inhibitors (4.6% v 7.0%), 1.8% (1.4% to 2.1%) lower for GLP-1 receptor agonists than DPP-4 inhibitors (5.7% v 7.5%), and 1.2% (0.9% to 1.5%) lower for SGLT-2 inhibitors than GLP-1 receptor agonists (4.7% v 6.0%). Findings were consistent for the secondary outcomes and among subgroups defined by age, sex, race, medical conditions, other drug use, and hemoglobin A1c levels on the relative scale. Benefits for SGLT-2 inhibitors and GLP-1 receptor agonists on the absolute scale were largest for those with heart failure, chronic kidney disease, or those using mineralocorticoid receptor antagonists. Compared with DPP-4 inhibitors, the lower rate of hyperkalemia was consistently observed across individual agents in the SGLT-2 inhibitor (canagliflozin, dapagliflozin, empagliflozin) and GLP-1 receptor agonist (dulaglutide, exenatide, liraglutide, semaglutide) classes.

CONCLUSIONS

In people with type 2 diabetes, SGLT-2 inhibitors and GLP-1 receptor agonists were associated with a lower risk of hyperkalemia than DPP-4 inhibitors in the overall population and across relevant subgroups. The consistency of associations among individual agents in the SGLT-2 inhibitor and GLP-1 receptor agonist classes suggests a class effect. These ancillary benefits of SGLT-2 inhibitors and GLP-1 receptor agonists further support their use in people with type 2 diabetes, especially in those at risk of hyperkalemia.

Key results from observational studies and real-world evidence of sodium-glucose cotransporter-2 inhibitor effectiveness and safety in reducing cardio-renal risk

Sodium-glucose cotransporter 2 (SGLT2) inhibitors, originally designed to manage blood sugar levels in individuals with type 2 diabetes (T2D), have emerged as a crucial class of drugs for managing cardio-renal diseases. These drugs work by targeting the SGLT2 protein in the kidneys, promoting the excretion of glucose and influencing metabolic pathways beyond glucose control. The relationship between cardio-renal diseases and SGLT2 inhibitors has been explored through landmark trials and real-world evidence (RWE) studies, demonstrating significant reductions in cardio-renal complications. This review discusses the importance of RWE studies alongside randomized controlled trials in understanding the real-world effectiveness and safety of SGLT2 inhibitors. It outlines the advantages and disadvantages of RWE compared to RCTs, highlighting their complementary roles in providing comprehensive insights into treatment outcomes. By examining a range of RWE studies, the review underscores the cardio-renal benefits of SGLT2 inhibitors across various patient populations. Safety assessments indicate that SGLT2 inhibitors are generally well tolerated, with severe adverse events being rare. Common issues, such as genital mycotic infections and urinary tract infections, are acknowledged, alongside less frequent but significant adverse events including diabetic ketoacidosis, lower-limb amputations, and bone fractures. In summary, SGLT2 inhibitors show promising cardio-renal protective effects in real-world scenarios across diverse populations in T2D, indicating their potential as early intervention measures. Continued research is essential for gaining a thorough understanding of their long-term effects and safety profiles.

Real-world HbA1c changes and prescription characteristics among type 2 diabetes mellitus patients initiating treatment with once weekly semaglutide for diabetes

Purpose

The purpose of this study was to evaluate patient, prescriber, and dose characteristics and evaluate changes in glycated hemoglobin (HbA1c) for patients prescribed once weekly semaglutide for diabetes (OW sema T2D).

Methods

This study was a retrospective claims-based study using the Optum Research Database. The sample included adult patients who had at least one claim for OW sema T2D between Jan 1, 2018, and Dec 31, 2019, were continuously enrolled in the health plan and had a diagnosis of type 2 diabetes (T2DM) during the pre-index or post-index periods. Demographic and clinical characteristics of patients using OW sema T2D were collected, as were the dose and prescriber specialty and the change between pre-index and post-index HbA1c measures was calculated. Results were stratified by the latest pre-index HbA1c measurement (HbA1c greater than or equal to 9.0%, uncontrolled vs. HbA1c less than 9%, controlled). Statistical comparisons between HbA1c groups were conducted.

Results

Most patients, 76.3%, were prescribed a 0.25/0.50 mg dose of OW sema T2D. Patients had an overall decrease in HbA1c of 0.8% and patients with uncontrolled diabetes had a greater reduction in mean HbA1c compared to those with controlled diabetes (-2.1% vs. -0.3%, p < 0.001). Most patients had their index dose of OW sema T2D prescribed by endocrinologists (27.6%) primary care providers (24.6%) and internal medicine providers (21.6%).

Conclusions

OW sema T2D is an effective real-world T2DM treatment. Future research should further investigate real-world use patterns of this medication.

Glucocorticoid treatment and clinical outcomes in patients with polymyalgia rheumatica: A cohort study using routinely collected health data

OBJECTIVE

We aimed to describe the following in patients with polymyalgia rheumatica (PMR): (1) real-world glucocorticoid (GC) therapy, (2) improvement in inflammatory parameters associated with disease activity (C-reactive protein [CRP] level and erythrocyte sedimentation rate [ESR]), and (3) incidence of GC-related adverse events (AEs).

METHODS

A cohort study was conducted using a Japanese electronic medical records database. We included newly diagnosed PMR patients aged≥50years with baseline CRP levels≥10mg/L and/or ESR>30mm/h and an initial GC dose of≥5mg/day. The outcomes were GC dose, inflammatory parameters, and GC-related AEs.

RESULTS

A total of 373 PMR patients (mean age, 77.3 years) were analyzed. The median initial GC dose was 15.0mg/day, which gradually decreased to 3.5mg/day by week 52. The median cumulative GC dose at week 52 was 2455.0mg. The median CRP level on day 0 was 64.3mg/L, which decreased during weeks 4-52 (1.4-3.2mg/L). At week 52, 39.0% of patients had a CRP level>3.0mg/L. The cumulative incidence of GC-related AEs at week 52 was 49.0% for osteoporosis, 30.2% for diabetes, 14.9% for hypertension, 12.2% for peptic ulcer, 11.3% for dyslipidemia, 2.9% for glaucoma, and 4.3% for serious infection. The incidence of osteoporosis and diabetes increased with the GC dose.

CONCLUSION

The incidence of GC-related AEs was associated with the GC dose in PMR patients. Further research is required to identify treatment strategies that can effectively control PMR disease activity while minimizing GC use.

Comparative Effectiveness of Hybrid Closed-Loop Automated Insulin Delivery Systems Among Patients with Type 1 Diabetes

BACKGROUND

Clinical trials have demonstrated the efficacy and safety of hybrid closed-loop (HCL) systems, yet few studies have compared outcomes in the real-world setting.

METHOD

This retrospective study analyzed patients from an academic endocrinology practice between January 1, 2018, and November 18, 2022. The inclusion criteria were diagnosis code for type I diabetes (T1D), >18 years of age, new to any HCL system [Medtronic 670G/770G (MT), Tandem Control IQ (CIQ), or Omnipod 5 (OP5)], and availability of a pump download within three months. The outcomes included %time in range (TIR) of 70 to 180 mg/dL, %time below range (TBR) <70 mg/dL at 90 days, and HbA1c for 91 to 180 days.

RESULT

Of the 176 participants, 47 were MT, 74 CIQ, and 55 OP5. Median (25%, 75%) change in HbA1c was -0.1 (-0.8, 0.3), -0.6 (-1.1, -0.15), and -0.55 (-0.98, 0)% for MT, CIQ, and OP5, respectively, (P = .04). TIR was 70 (57, 76), 67 (59, 75), and 68 (60, 76)% (P = .95) at 90 days while TBR was 2 (1, 3), 1 (0, 2), and 1 (0, 1)%, respectively, (P = .002). The %time in automated delivery was associated with TIR and change in HbA1c. After controlling other factors including %time in automated delivery, HCL type was not an independent predictor of change in HbA1c nor TIR but remained a significant predictor of TBR.

CONCLUSION

There were significant reductions in HbA1c in CIQ and OP5. TIR was similar across pumps, but TBR was highest with MT. The %time in automated delivery likely explains differences in change in HbA1c but not TBR between HCL systems.

The association between sodium glucose cotransporter-2 inhibitors vs dipeptidyl peptidase-4 inhibitors and renal outcomes in people discharged from hospital with type 2 diabetes: A population-based cohort study

BACKGROUND

We investigated the association between post-hospital discharge use of sodium glucose cotransporter-2 inhibitors (SGLT-2is) compared to dipeptidyl peptidase-4 inhibitors (DPP-4is) and the incidence of hospitalization for acute renal failure (ARF) and chronic kidney disease (CKD) in people with type 2 diabetes.

METHODS

We conducted a retrospective cohort study using linked hospital and prescription data. Our cohort included people aged ≥30 years with type 2 diabetes discharged from a hospital in Victoria, Australia, from December 2013 to June 2018. We compared new users of SGLT-2is with new users of DPP-4is following discharge. People were followed from first dispensing of a SGLT-2i or DPP-4i to a subsequent hospital admission for ARF or CKD. We used competing risk models with inverse probability of treatment weighting (IPTW) to estimate subhazard ratios.

RESULTS

In total, 9620 people initiated SGLT-2is and 9962 initiated DPP-4is. The incidence rate of ARF was 12.3 per 1000 person-years (median years of follow-up [interquartile range [IQR] 1.4 [0.7-2.2]) among SGLT-2i initiators and 18.9 per 1000 person-years (median years of follow-up [IQR] 1.7 [0.8-2.6]) among DPP-4i initiators (adjusted subhazard ratio with IPTW 0.78; 95% confidence interval [CI] 0.70-0.86). The incidence rate of CKD was 6.0 per 1000 person-years (median years of follow-up [IQR] 1.4 [0.7-2.2]) among SGLT-2i initiators and 8.9 per 1000 person-years (median years of follow-up [IQR] 1.7 [0.8-2.6]) among DPP-4i initiators (adjusted subhazard ratio with IPTW 0.83; 95% CI 0.73-0.94).

CONCLUSIONS

Real-world data support using SGLT-2is over DPP-4is for preventing acute and chronic renal events in people with type 2 diabetes.

Reply to: Comment on: Association of sulfonylureas with the risk of dementia: A population-based cohort study

This letter comments on the letter by Wei‐Min Chu.

A population-based cohort defined risk of hyperkalemia after initiating SGLT-2 inhibitors, GLP1 receptor agonists or DPP-4 inhibitors to patients with chronic kidney disease and type 2 diabetes

Hyperkalemia is a common adverse event in patients with chronic kidney disease (CKD) and type 2 diabetes and limits the use of guideline-recommended therapies such as renin-angiotensin system inhibitors. Here, we evaluated the comparative effects of sodium-glucose cotransporter-2 inhibitors (SGLT-2i), glucagon-like peptide-1 receptor agonists (GLP-1RA) and dipeptidyl peptidase-4 inhibitors (DPP-4i) on the risk of hyperkalemia. We conducted a population-based active-comparator, new-user cohort study using claims data from Medicare and two large United States commercial insurance databases (April 2013-April 2022). People with CKD stages 3-4 and type 2 diabetes who newly initiated SGLT-2i vs. DPP-4i (141671 patients), GLP-1RA vs. DPP-4i (159545 patients) and SGLT-2i vs. GLP-1RA (93033 patients) were included. The primary outcome was hyperkalemia diagnosed in inpatient or outpatient settings. Secondary outcomes included hyperkalemia diagnosed in inpatient or emergency department setting, and serum potassium levels of 5.5 mmol/L or more. Pooled hazard ratios and rate differences were estimated after propensity score matching to adjust for over 140 potential confounders. Initiation of SGLT-2i was associated with a lower risk of hyperkalemia compared with DPP-4i (hazard ratio 0.74; 95% confidence interval 0.68-0.80) and contrasted to GLP-1RA (0.92; 0.86-0.99). Compared with DPP-4i, GLP-1RA were also associated with a lower risk of hyperkalemia (0.80; 0.75-0.86). Corresponding absolute rate differences/1000 person-years were -24.8 (95% confidence interval -31.8 to -17.7), -5.0 (-10.9 to 0.8), and -17.7 (-23.4 to -12.1), respectively. Similar findings were observed for the secondary outcomes, among subgroups, and across single agents within the SGLT-2i and GLP-1RA classes. Thus, SGLT-2i and GLP-1RA are associated with a lower risk of hyperkalemia than DPP-4i in patients with CKD and type 2 diabetes, further supporting the use of these drugs in this population.

Diabetic Pneumopathy- A Novel Diabetes-associated Complication: Pathophysiology, the Underlying Mechanism and Combination Medication

BACKGROUND

The "diabetic lung" has been identified as a possible target organ in diabetes, with abnormalities in ventilation control, bronchomotor tone, lung volume, pulmonary diffusing capacity, and neuroadrenergic bronchial innervation.

OBJECTIVE

This review summarizes studies related to diabetic pneumopathy, pathophysiology and a number of pulmonary disorders including type 1 and type 2 diabetes.

METHODS

Electronic searches were conducted on databases such as Pub Med, Wiley Online Library (WOL), Scopus, Elsevier, ScienceDirect, and Google Scholar using standard keywords "diabetes," "diabetes Pneumopathy," "Pathophysiology," "Lung diseases," "lung infection" for review articles published between 1978 to 2023 very few previous review articles based their focus on diabetic pneumopathy and its pathophysiology.

RESULTS

Globally, the incidence of diabetes mellitus has been rising. It is a chronic, progressive metabolic disease. The "diabetic lung" may serve as a model of accelerated ageing since diabetics' rate of respiratory function deterioration is two to three-times higher than that of normal, non-smoking people.

CONCLUSION

Diabetes-induced pulmonary dysfunction has not gained the attention it deserves due to a lack of proven causality and changes in cellular properties. The mechanism underlying a particular lung illness can still only be partially activated by diabetes but there is evidence that hyperglycemia is linked to pulmonary fibrosis in diabetic people.

Safety and effectiveness of dulaglutide in Chinese adults with type 2 diabetes mellitus in a real-world setting: A prospective, observational post-marketing study

AIM

To our knowledge, this is the first real-world study to investigate the safety and effectiveness of a glucagon-like peptide-1 receptor agonist in Chinese patients with type 2 diabetes mellitus (T2DM).

MATERIALS AND METHODS

This prospective, observational, post-marketing study conducted at 46 hospitals in China included adults with T2DM prescribed dulaglutide in routine clinical practice. The primary endpoint was the incidence of treatment-emergent adverse events (TEAEs) and serious AEs in patients who received ≥1 dose of dulaglutide, for up to 24 weeks. Exploratory endpoints included changes in patient-reported glycated haemoglobin (HbA1c) and body weight. Post hoc analyses and multivariate regression were also performed.

RESULTS

From 20 January 2020 to 24 November 2021, 3291 patients received dulaglutide and entered the safety analysis. TEAEs were reported in 1333 (40.5%) patients; the most commonly reported were nausea (n = 193, 5.9%), diarrhoea (n = 183, 5.6%) and decreased appetite (n = 179, 5.4%). serious AEs were reported in 160 (4.9%) patients. TEAEs led to treatment discontinuation in 212 (6.4%) patients. The mean absolute change in HbA1c from baseline to week 24 was -1.65% (p < .001). Greater reductions in HbA1c at week 24 were observed in patients with T2DM duration ≤5 years (p = .002), baseline HbA1c ≥8.5% (p < .001), and without atherosclerotic cardiovascular disease (p = .002). The mean absolute change in body weight from baseline at week 24 was -2.62 kg (p < .001).

CONCLUSION

Dulaglutide showed a safety profile consistent with previous reports and significantly reduced HbA1c in a real-world setting. These findings support the clinical use of dulaglutide and inform the individualized treatment of patients with T2DM in China.

Concepts of Designing and Implementing Pharmacoepidemiology Studies on the Safety of Systemic Treatments in Dermatology Practice

The U.S. Food and Drug Administration and clinical guidelines use evidence from pharmacoepidemiology studies to inform prescribing decisions and fill evidence gaps left by randomized controlled trials (RCTs). The long-term safety and infrequent adverse reactions are not well-understood when RCTs are short and involve few patients, as is the case for most systemic immunomodulating drugs in dermatology. A better understanding of the design and implementation of pharmacoepidemiology studies will help practitioners assess the accuracy of etiologic findings and use them with confidence in clinical practice. Conducting pharmacoepidemiology studies follows a structured approach, which we discuss in this article: (i) a design layer connects the research question with the appropriate study design, and considering which hypothetical RCT one ideally would want to conduct reduces inadvertent investigator errors; (ii) a measurement layer transforms longitudinal patient-level data into variables that identify the study population, patient characteristics, treatment, and outcomes; and (iii) the analysis focuses on the causal treatment effect estimation. The review and interpretation of pharmacoepidemiology studies should consider issues beyond a typical review of RCTs, chiefly the lack of baseline randomization and the use of secondary data. Well-designed and well-conducted pharmacoepidemiologic studies complement dermatology practice with critical information on prescribing systemic medications.

Retrospective Data Analysis of the Use of an Autologous Multilayered Leukocyte, Platelet, and Fibrin Patch for Diabetic Foot Ulcers Treatment in Daily Clinical Practice

OBJECTIVE

To describe the healing outcome of chronic, hard-to-heal diabetic foot ulcers (DFUs) treated with an autologous multilayered leukocyte, platelet, and fibrin (MLPF) patch in addition to the best standard of care, in a real-world clinical setting of two US amputation preventive centers.

METHODS

In this retrospective study of patients treated between September 2021 and October 2022, the authors analyzed DFU healing outcomes based on Wound, Ischemia, and foot Infection-derived amputation risk.

RESULTS

All 36 patients had a diagnosis of type 2 diabetes and 29 (81%) were male. Their average age was 61.4 years, body mass index was 29.2 kg/m2, and glycated hemoglobin was 7.9. Twenty-seven patients (78%) were diagnosed with peripheral vascular disease, 20 (56%) underwent a peripheral vascular procedure, 15 (42%) had a prior amputation, and 6 (17%) were on hemodialysis. Average wound size was 4.9 cm2, and wound age was 9.5 months. Twelve patients (32%) were classified as low risk, 15 (39%) as moderate risk, and 11 (29%) as high risk for amputation. Within 12 weeks of the first MLPF patch application, nine wounds (24%) healed. After 20 weeks, 23 wounds (61%) were closed, and by follow-up, 30 wounds (79%) healed. No amputations were noted. Compared with published data, 40% fewer patients underwent readmission within 30 days, with 72% shorter admission duration.

CONCLUSIONS

Real-world clinical experiences using the MLPF patch to treat hard-to-heal DFUs resulted in the majority of wounds healing. Few patients experienced a readmission within 30 days, and the average admission duration was short.

The Role of Real-World Evidence in Treatment Decision-Making, Regulatory Assessment, and Understanding the Perspectives of People with Type 2 Diabetes: Examples with Gliclazide MR

Real-world evidence (RWE) plays an important role in the management of type 2 diabetes (T2D). It provides data about the effectiveness and safety of an intervention from outside the randomised controlled trial (RCT) setting and allows healthcare professionals (HCPs) to determine if RCT data are applicable to their patients in routine clinical practice. This review provides a discussion of the value of RWE in T2D management in day-to-day clinical practice, with a focus on RWE with sulfonylureas (SUs), and presents two examples of a new generation of international real-world studies in people with T2D managed in routine clinical practice. RWE plays a valuable role in advising HCPs in the day-to-day management of T2D, informing regulatory authorities with regard to pharmacovigilance and post-approval updates, and providing insights with regard to patients' treatment adherence and preference. RWE should be used alongside RCTs to increase HCP awareness and understanding of their patients' perspectives, potentially allowing for improvements in treatment adherence, glycaemic control and health-related quality of life (HRQoL). In addition, real-world studies must be conducted in a way that generates robust RWE by limiting the risks of bias and confounding as much as possible. A growing body of RWE is emerging from Asia. For example, in a preliminary HRQoL analysis of the Joint Asia Diabetes Evaluation (JADE) Register, Asian people with T2D had better HRQoL with gliclazide-based treatment than with other SU agents, despite being older and having more diabetes-related complications.

Extending the vision of adaptive point-of-care platform trials to improve targeted use of drug therapy regimens: An agile approach in the learning healthcare system toolkit

OBJECTIVES

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.

METHODS AND FINDINGS

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.

CONCLUSIONS

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.

Target Trial Emulation to Improve Causal Inference from Observational Data: What, Why, and How?

ABSTRACT

Target trial emulation has drastically improved the quality of observational studies investigating the effects of interventions. Its ability to prevent avoidable biases that have plagued many observational analyses has contributed to its recent popularity. This review explains what target trial emulation is, why it should be the standard approach for causal observational studies that investigate interventions, and how to do a target trial emulation analysis. We discuss the merits of target trial emulation compared with often used, but biased analyses, as well as potential caveats, and provide clinicians and researchers with the tools to better interpret results from observational studies investigating the effects of interventions.

Use of Real-World Data in Population Science to Improve the Prevention and Care of Diabetes-Related Outcomes

The past decade of population research for diabetes has seen a dramatic proliferation of the use of real-world data (RWD) and real-world evidence (RWE) generation from non-research settings, including both health and non-health sources, to influence decisions related to optimal diabetes care. A common attribute of these new data is that they were not collected for research purposes yet have the potential to enrich the information around the characteristics of individuals, risk factors, interventions, and health effects. This has expanded the role of subdisciplines like comparative effectiveness research and precision medicine, new quasi-experimental study designs, new research platforms like distributed data networks, and new analytic approaches for clinical prediction of prognosis or treatment response. The result of these developments is a greater potential to progress diabetes treatment and prevention through the increasing range of populations, interventions, outcomes, and settings that can be efficiently examined. However, this proliferation also carries an increased threat of bias and misleading findings. The level of evidence that may be derived from RWD is ultimately a function of the data quality and the rigorous application of study design and analysis. This report reviews the current landscape and applications of RWD in clinical effectiveness and population health research for diabetes and summarizes opportunities and best practices in the conduct, reporting, and dissemination of RWD to optimize its value and limit its drawbacks.

Safety of Sodium-Glucose Cotransporter-2 Inhibitors in Patients with CKD and Type 2 Diabetes: Population-Based US Cohort Study

BACKGROUND

Limited information exists regarding the safety of sodium-glucose cotransporter-2 inhibitors (SGLT2i) in patients with CKD treated in routine care. We evaluated the safety of SGLT2i in patients with CKD and type 2 diabetes treated in US routine practice.

METHODS

Using claims data from Medicare and two large US commercial databases (April 2013-December 2021), we included 96,128 adults with CKD stages 3-4 and type 2 diabetes who newly filled prescriptions for SGLT2i versus glucagon-like peptide-1 receptor agonists (GLP-1RA). Safety outcomes included diabetic ketoacidosis (DKA), lower limb amputations, nonvertebral fractures, genital infections, hypovolemia, AKI, hypoglycemia, and severe urinary tract infections (UTIs). Hazard ratios (HRs) and incidence rate differences per 1000 person-years were estimated after 1:1 propensity score matching, adjusted for >120 baseline characteristics.

RESULTS

Compared with GLP-1RA, SGLT2i initiators had a higher risk of nonvertebral fractures (HR, 1.30 [95% confidence interval (CI), 1.03 to 1.65]; incidence rate difference, 2.13 [95% CI, 0.28 to 3.97]), lower limb amputations (HR, 1.65 [95% CI, 1.22 to 2.23]; incidence rate difference, 2.46 [95% CI, 1.00 to 3.92]), and genital infections (HR, 3.08 [95% CI, 2.73 to 3.48]; incidence rate difference, 41.26 [95% CI, 37.06 to 45.46]). Similar risks of DKA (HR, 1.07 [95% CI, 0.74 to 1.54]; incidence rate difference, 0.29 [95% CI, -0.89 to 1.46]), hypovolemia (HR, 0.99 [95% CI, 0.86 to 1.14]; incidence rate difference, 0.20 [95% CI, -2.85 to 3.25]), hypoglycemia (HR, 1.08 [95% CI, 0.92 to 1.26]; incidence rate difference, 1.46 [95% CI, -1.31 to 4.23]), and severe UTI (HR, 1.02 [95% CI, 0.87 to 1.19]; incidence rate difference, 0.35 [95% CI, -2.51 to 3.21]) were observed. SGLT2i had lower risk for AKI (HR, 0.93 [95% CI, 0.87 to 0.99]; incidence rate difference, -6.75 [95% CI, -13.69 to 0.20]).

CONCLUSIONS

In US patients with CKD and type 2 diabetes receiving routine care, SGLT2i use was associated with higher risks of genital infections and potentially lower limb amputations and nonvertebral fractures.

Hydroxychloroquine lowers Alzheimer's disease and related dementias risk and rescues molecular phenotypes related to Alzheimer's disease

We recently nominated cytokine signaling through the Janus-kinase-signal transducer and activator of transcription (JAK/STAT) pathway as a potential AD drug target. As hydroxychloroquine (HCQ) has recently been shown to inactivate STAT3, we hypothesized that it may impact AD pathogenesis and risk. Among 109,124 rheumatoid arthritis patients from routine clinical care, HCQ initiation was associated with a lower risk of incident AD compared to methotrexate initiation across 4 alternative analyses schemes addressing specific types of biases including informative censoring, reverse causality, and outcome misclassification (hazard ratio [95% confidence interval] of 0.92 [0.83-1.00], 0.87 [0.81-0.93], 0.84 [0.76-0.93], and 0.87 [0.75-1.01]). We additionally show that HCQ exerts dose-dependent effects on late long-term potentiation (LTP) and rescues impaired hippocampal synaptic plasticity prior to significant accumulation of amyloid plaques and neurodegeneration in APP/PS1 mice. Additionally, HCQ treatment enhances microglial clearance of Aβ_1-42, lowers neuroinflammation, and reduces tau phosphorylation in cell culture-based phenotypic assays. Finally, we show that HCQ inactivates STAT3 in microglia, neurons, and astrocytes suggesting a plausible mechanism associated with its observed effects on AD pathogenesis. HCQ, a relatively safe and inexpensive drug in current use may be a promising disease-modifying AD treatment. This hypothesis merits testing through adequately powered clinical trials in at-risk individuals during preclinical stages of disease progression.

An Attempt to Replicate Randomized Trials of Diabetes Treatments Using a Japanese Administrative Claims and Health Checkup Database: A Feasibility Study

BACKGROUND

Use of real-world evidence (RWE) has been limited for evaluating effectiveness because of the lack of confidence in its reliability. Examining whether a rigorously designed observational study using real-world data (RWD) can reproduce the results of a randomized controlled trial (RCT) will provide insights into the implementation of high-quality RWE studies that can produce valid conclusions.

OBJECTIVE

We aimed to replicate published RCTs using a Japanese claims and health checkup database and examine whether the emulated RWE studies' results agree with those of the original RCTs.

METHODS

We selected three RCTs on diabetes medications for replication in patients with type 2 diabetes. The study outcome was either the change or percentage change in HbA1c levels from baseline. We designed three observational studies using the RWD to mimic the critical study elements of the respective RCTs as closely as possible. We performed 1:1 propensity score nearest-neighbor matching to balance the groups for potential confounders. The differences in outcomes between the groups and their 95% confidence intervals (CIs) were calculated in each RWE study, and the results were compared with those of the RCT.

RESULTS

Patient characteristics, such as age, sex, and duration of diabetes, differed between the RWE studies and RCTs. In Trial 1 emulation, the percentage changes in HbA1c levels were larger in the treatment group than in the comparator group (difference -6.21, 95% confidence interval (CI) -11.01 to -1.40). In Trial 2, the change in HbA1c level was larger in the treatment group (difference -0.01; 95% CI -0.25 to 0.23), and in Trial 3, it was smaller in the treatment group (difference 0.46; 95% CI -0.01 to 0.94). These results did not show regulatory or estimate agreement with the RCTs.

CONCLUSIONS

None of the three emulated RWE studies using this claims and health checkup database reproduced the same conclusions as the RCTs. These discrepancies could largely be attributed to design differences between RWE studies and RCTs, primarily due to the lack of necessary data in the database. This particular RWD source may not be the best fit for evaluating treatment effects using laboratory data as the study outcome.

Strong instrumental variables biased propensity scores in comparative effectiveness research: A case study in oncology

BACKGROUND AND OBJECTIVES

Some medications require specific medical procedures in the weeks before their start. Such procedures may meet the definition of instrumental variables (IVs). We examined how they may influence treatment effect estimation in propensity score (PS)-adjusted comparative studies, and how to remedy.

STUDY DESIGN AND SETTING

Different covariate assessment periods (CAPs) did and did not include the month preceding treatment start were used to compute PS in the French claims database (Sytème National des Données de Santé-SNDS), and 1:1 match patients with metastatic castration resistant prostate cancer initiating abiraterone acetate or docetaxel. The 36-month survival was assessed.

RESULTS

Among 1, 213 docetaxel and 2, 442 abiraterone initiators, the PS distribution resulting from the CAP [-12; 0 months] distinctly separated populations (c = 0.93; 273 matched pairs). The CAPs [-12;-1 months] identified 765 pairs (c = 0.81). Strong docetaxel treatment predictors during the month before treatment start were implantable delivery systems (1% vs. 59%), which fulfilled IV conditions. The 36-month survival was not meaningfully different under the [-12; 0 months] CAP but differed by 10% points (38% vs. 28%) after excluding month -1.

CONCLUSION

In the setting of highly predictive pretreatment procedures, excluding the immediate pre-exposure time from the CAP will reduce the risk of including potential IVs in PS models and may reduce bias.

Real-world usage of sulphonylureas in Asian patients with type 2 diabetes using the Joint Asia Diabetes Evaluation (JADE) register

AIMS

To explore the patterns of use of oral glucose-lowering drugs (OGLDs) in Asian patients with type 2 diabetes (T2D), focusing on sulphonylureas (SUs), and to describe patient profiles according to treatment regimen.

METHODS

We conducted a cross-sectional analysis of data from adults with T2D from 11 Asian countries/regions with structured assessment enrolled in the prospective Joint Asia Diabetes Evaluation (JADE) register between November 2007 and December 2019. Patients receiving insulin and/or injectable glucagon-like peptide-1 receptor agonists were excluded.

RESULTS

Amongst 62 512 patients (mean ± standard deviation age: 57.3 ± 11.8 years; 53.6% men), 54 783 (87.6%) were treated with OGLDs at enrolment. Most received one (37.5%) or two (44.2%) OGLDs. In the entire cohort, 59.4% of treated patients received SU-based therapy with variations amongst countries/regions. Overall, 79.5% of SU regimens were based on SUs plus metformin, and 22.1% on SUs plus dipeptidyl peptidase-4 inhibitors. Among SU users, gliclazide was most commonly prescribed (46.7%), followed by glimepiride (40.0%) and glibenclamide (8.1%). More gliclazide users entered the cohort with glycated haemoglobin levels <53 mmol/mol (7%) than non-gliclazide SU users (odds ratio [OR] 1.09, 95% CI 1.02-1.17), with less frequent self-reported hypoglycaemia in the 3 months before registration (OR 0.81, 95% CI 0.72-0.92; adjusted for sociodemographic factors, cardiometabolic risk factors, complications, use of other OGLDs, country/region and year of registration).

CONCLUSION

In Asia, SUs are a popular OGLD class, often combined with metformin. Good glycaemic control and safety profiles associated with the use of SUs, including gliclazide, support their position as a key treatment option in patients with T2D.

The effect of Dulaglutide on glycemic and weight control in patients with type 2 diabetes

Background and aims

The objectives of type 2 diabetes treatment are to achieve adequate long-term glycemic control and to reduce the risk associated with comorbidities and complications. Once-weekly Dulaglutide showed a reduction in cardiovascular risk associated with diabetes in addition to improved glycemic control and bodyweight reduction in several clinical trials. We aimed to investigate the effect of Dulaglutide 1.5 mg on glycemic and weight control in type 2 diabetes patients inadequately controlled by antihyperglycemic treatment in real-world clinical practice.

Methods

We retrospectively reviewed the medical records of 50 patients with type 2 diabetes inadequately controlled by previous treatment and newly initiated on Dulaglutide. The data were collected at 6 months (n=50) and 12 months (n=40) after Dulaglutide therapy initiation.

Results

Dulaglutide treatment resulted in significant improvement of glycated hemoglobin (-1.3 %; p<0.001) after 6 months and after 12 months (-2.0 %; p<0.001). Significant bodyweight reduction was found after 6 months (-2.0 kg; p=0.002) and 12 months (-3.5 kg; p=0.001) of Dulaglutide treatment initiation. In addition, a reduction in insulin dose was observed.

Conclusions

Our clinical data showed that Dulaglutide 1.5 mg significantly improved glycemic and bodyweight control at 6 and 12 months after treatment initiation in patients with type 2 diabetes inadequately controlled by previous antihyperglycemic treatment.

Statin Use and Severe Acute Liver Injury Among Patients with Elevated Alanine Aminotransferase

INTRODUCTION

While serious liver injury among statin users is extremely rare, baseline liver enzyme testing is still recommended prior to initiating therapy. The benefit of such screening should be reevaluated based on empirical evidence. This study compared the risk of severe acute liver injury (SALI) between statin initiators with an elevated ALT (>35U/L) matched to statin initiators with a normal ALT level (≤35U/L). Statin initiators with an elevated ALT were additionally compared against matched non-users.

METHODS

The study created cohorts from Optum and MarketScan claims data. Exposed and comparison cohorts were propensity score (PS) matched in each dataset and findings were pooled using meta-analysis. Proportional hazards regression was used to estimate hazard ratios (HRs), and a prespecified non-inferiority margin for SALI was set at a HR of 1.8.

RESULTS

232,889 patients with elevated ALT were PS-matched to 232,889 with normal ALT level. The overall incidence rate of SALI was about 19/100,000 person-years among statin initiators. Statin initiators with elevated ALT had no meaningfully increased risk of SALI compared to those with normal ALT (HR=1.15; 95% CI 0.75 to 1.75). Comparing statin initiators with non-initiators with elevated ALT values equally yielded no increased risk (HR=0.76; 95% CI 0.52 to 1.11).

CONCLUSION

In this large population-based study, SALI in statin users was rare. Importantly, the results showed no evidence that baseline ALT status is a reliable indicator for an increased risk of severe liver injury among statin initiators.

Towards an Interoperable Ecosystem of Research Cohort and Real-world Data Catalogues Enabling Multi-center Studies

OBJECTIVES

Existing individual-level human data cover large populations on many dimensions such as lifestyle, demography, laboratory measures, clinical parameters, etc. Recent years have seen large investments in data catalogues to FAIRify data descriptions to capitalise on this great promise, i.e. make catalogue contents more Findable, Accessible, Interoperable and Reusable. However, their valuable diversity also created heterogeneity, which poses challenges to optimally exploit their richness.

METHODS

In this opinion review, we analyse catalogues for human subject research ranging from cohort studies to surveillance, administrative and healthcare records.

RESULTS

We observe that while these catalogues are heterogeneous, have various scopes, and use different terminologies, still the underlying concepts seem potentially harmonizable. We propose a unified framework to enable catalogue data sharing, with catalogues of multi-center cohorts nested as a special case in catalogues of real-world data sources. Moreover, we list recommendations to create an integrated community of metadata catalogues and an open catalogue ecosystem to sustain these efforts and maximise impact.

CONCLUSIONS

We propose to embrace the autonomy of motivated catalogue teams and invest in their collaboration via minimal standardisation efforts such as clear data licensing, persistent identifiers for linking same records between catalogues, minimal metadata 'common data elements' using shared ontologies, symmetric architectures for data sharing (push/pull) with clear provenance tracks to process updates and acknowledge original contributors. And most importantly, we encourage the creation of environments for collaboration and resource sharing between catalogue developers, building on international networks such as OpenAIRE and research data alliance, as well as domain specific ESFRIs such as BBMRI and ELIXIR.

Impact of "time zero" of Follow-Up Settings in a Comparative Effectiveness Study Using Real-World Data with a Non-user Comparator: Comparison of Six Different Settings

BACKGROUND

Time-related bias can lead to misleading conclusions. Properly setting the "time zero" of follow-up is crucial for avoiding these biases. However, the time-zero setting is challenging when comparing users and non-users of a study drug because the latter do not have a time point for starting treatment.

OBJECTIVE

This methodological study aimed to illustrate the impact of different time-zero settings on effect estimates in a comparative effectiveness study using real-world data with a non-user comparator.

METHODS

Data for type 2 diabetes patients were extracted from an administrative claims database, and the onset of diabetic retinopathy (study outcome) was compared between users (treatment group) and non-users (non-use group) of lipid-lowering agents. We applied six time-zero settings to the same dataset. The adjusted hazard ratio (HR) for the outcome was estimated using a Cox regression model in each time-zero setting, and the obtained results were compared among the settings.

RESULTS

Of the six settings, three (study entry date [SED] vs SED [naïve approach], treatment initiation [TI] vs SED, TI vs Matched [random order]) showed that the treatment had a reduced risk of the outcome (HR [95% CI]: 0.65 [0.61-0.69], 0.92 [0.86-0.97], and 0.76 [0.71-0.82], respectively), one (TI vs Random) had an increased risk (HR [95% CI]: 1.52 [1.40-1.64]) , and two (SED vs SED [cloning method], and TI vs Matched [systematic order]) had neither increased nor decreased risk (HR [95% CI]: 0.95 [0.93-1.13], and 0.99 [0.93-1.07], respectively).

CONCLUSIONS

This study demonstrates that different time-zero settings can lead to different conclusions, even if the same dataset is analyzed for the same research question, probably because improper settings can introduce bias. To minimize such biases, researchers should carefully define time zero, particularly when designing a non-user comparator study using real-world data.

Understanding variation in the results of real-world evidence studies that seem to address the same question

OBJECTIVES

Multiple database studies on the same question, conducted by different investigators using different approaches or different data sources, can be considered sensitivity analyses for the same causal treatment effect question. We evaluated the contribution of alternative study design parameters and analysis choices to variation in estimates of the risk of major bleeding with dabigatran compared with warfarin.

STUDY DESIGN AND SETTING

We followed a 7-step process: (1) identify published studies asking the same question, (2) independently reproduce selected studies in the same data sources as the original authors, (3) contact original authors, (4) evaluate validity, (5) document critical study parameter specifications, (6) implement a designed matrix of variations in study parameters based on the original studies, and (7) evaluate contributors to variation in results.

RESULTS

Most variation remained unexplained (60-88%). Of the explained variation, two-thirds were related to data and population differences, and one-third were related to the use of alternative study design and analysis parameters. Among these, the most prominent were differences in outcome algorithms and criteria used to define follow-up.

CONCLUSION

When making policy decisions based on database study findings, it is important to evaluate the validity, consistency, and robustness of results to alternative design and analysis decisions.

Use of real-world evidence data to evaluate the comparative effectiveness of second-line type 2 diabetes medications on chronic kidney disease

Chronic kidney disease (CKD) is a common complication of type 2 diabetes mellitus (T2DM). Approximately-one-third of patients with T2DM also have CKD. In clinical trial studies, several anti-diabetic medications (ADM) show evidence of preventing the progression of CKD. Biguanides (e.g., metformin) are widely accepted as the first line medication. However, the comparative effectiveness of second line ADMs on CKD outcomes in T2DM is unclear. In addition, results from clinical trials may not generalize into routine clinical practice. In this study, we aimed to investigate the association of second line ADMs with diagnosed incident CKD, CKD hospitalization, and eGFR < 45 mL/min in T2DM patients using real-world data from electronic health records. Our study found that treatment with sodium-glucose cotransporter 2 (SGLT-2) inhibitors was significantly associated with lower risk of diagnosed CKD incidence in both primary analysis (hazard ratio, 0.43; 95 % CI, [0.22;0.87]; p-value,0.02) and secondary analysis (hazard ratio, 0.42; 95 % CI, [0.19;0.92]; p-value, 0.03) compared to use of Sulfonylureas (SU) as a second-line ADM. However, significant associations were not observed when using eGFR < 45 mL/min as the endpoint. Treatment with a dipeptidyl peptidase 4 (DPP-4) inhibitor was significantly associated with lower risk of diagnosed incident CKD (hazard ratio, 0.7; 95 % CI, [0.53;0.96]; p-value, 0.03) and lower risk of CKD hospitalization (hazard ratio, 0.6; 95 % CI, [0.37; 0.96]; p-value, 0.04) in the primary analysis. However, both associations were not significant in the sensitivity analysis. We did not observe significant association between use of glucagon-like peptide 1 receptor agonists (GLP-1RA), Thiazolidinediones (TZD), insulin and diagnosed CKD incidence, hospitalization or eGFR < 45 mL/min compared to use of SU as a second-line ADM.

New-Onset Diabetes Is a Potential Marker for the Malignant Transformation of Pancreatic Cysts: A Real-World Population Cohort Study

OBJECTIVES

New-onset diabetes mellitus has been shown to be associated with pancreatic cancer (PC) in the general population. Our objective was to leverage real-world data to assess the association of new-onset diabetes (NODM) with malignant transformation in a large longitudinal cohort of pancreatic cyst patients.

METHODS

A retrospective longitudinal cohort study was conducted using IBM's MarketScan claims databases from 2009 to 2017. From 200 million database subjects, we selected patients with newly diagnosed cysts without prior pancreatic pathology.

RESULTS

Of the 137,970 patients with a pancreatic cyst, 14,279 had a new diagnosis. Median follow-up was 41.6 months. Patients with NODM progressed to PC at nearly 3 times the rate of patients without a diabetes history (hazard ratio, 2.80; 95% confidence interval, 2.05-3.83) and at a significantly higher rate than patients with preexisting diabetes (hazard ratio, 1.59; 95% confidence interval, 1.14-2.21). The mean interval between NODM and cancer diagnosis was 7.5 months.

CONCLUSIONS

Cyst patients who developed NODM progressed to PC at 3 times the rate of nondiabetics and at a greater rate than preexisting diabetics. The diagnosis of NODM preceded cancer detection by several months. These results support the inclusion of diabetes mellitus screening in cyst surveillance algorithms.

Attenuated Risk Association of End-Stage Kidney Disease with Metformin in Type 2 Diabetes with eGFR Categories 1-4

Type 2 diabetes (T2D)-associated end-stage kidney disease (ESKD) is a global burden, while the renoprotective effects of metformin remain controversial. In a population-based cohort (2002-2018) including 96,643 patients with T2D observed for 0.7 million person-years, we estimated the risk association of metformin and its dose-relationship with ESKD in a propensity-score overlap-weighting (PS-OW) cohort by eGFR categories. Amongst 96,643, 83,881 (86.8%) had eGFR-G1/G2 (≥60 mL/min/1.73 m2), 8762 (9.1%) had eGFR-G3a (≥45-60 mL/min/1.73 m2), 3051 (3.2%) had eGFR-G3b (≥30-45 mL/min/1.73 m2), and 949 (1.0%) had eGFR-G4 (≥15-30 mL/min/1.73 m2). The respective proportions of metformin users in these eGFR categories were 95.1%, 81.9%, 53.8%, and 20.8%. In the PS-OW cohort with 88,771 new-metformin and 7872 other oral glucose-lowering-drugs (OGLDs) users, the respective incidence rates of ESKD were 2.8 versus 22.4/1000 person-years. Metformin use associated with reduced risk of ESKD (hazard ratio (HR) = 0.43 [95% CI: 0.35-0.52] in eGFR-G1/G2, 0.64 [0.52-0.79] in eGFR-G3a, 0.67 [0.56-0.80] in eGFR-G3b, and 0.63 [0.48-0.83] in eGFR-G4). Metformin use was associated with reduced or neutral risk of major adverse cardiovascular events (MACE) (7.2 versus 16.0/1000 person-years) and all-cause mortality (14.6 versus 65.1/1000 person-years). Time-weighted mean daily metformin dose was 1000 mg in eGFR-G1/G2, 850 mg in eGFR-G3a, 650 mg in eGFR-G3b, and 500 mg in eGFR-G4. In a subcohort of 14,766 patients observed for 0.1 million person-years, the respective incidence rates of lactic acidosis and HR in metformin users and non-users were 42.5 versus 226.4 events/100,000 person-years (p = 0.03) for eGFR-G1/G2 (HR = 0.57, 0.25-1.30) and 54.5 versus 300.6 events/100,000 person-years (p = 0.01) for eGFR-G3/G4 (HR = 0.49, 0.19-1.30). These real-world data underscore the major benefits and low risk of lactic acidosis with metformin use down to an eGFR of 30 mL/min/1.73 m2 and possibly even 15 mL/min/1.73 m2, while reinforcing the importance of dose adjustment and frequent monitoring of eGFR.

Exploring ethnic representativeness in diabetes clinical trial enrolment from 2000 to 2020: a chronological survey

AIMS/HYPOTHESIS

Ethnic representativeness of participant enrolment in diabetes RCTs involving multiple ethnicities remains unknown. The aims of this study were to evaluate the status and temporal trend of ethnic representativeness in enrolment to diabetes RCTs, and to assess under-enrolment of non-white ethnic groups and explore trial characteristics associated with under-enrolment.

METHODS

We conducted a chronological survey by systematically searching the literature to include eligible RCTs published between January 2000 and December 2020. We assessed temporal trends in enrolment of ethnic groups in the included trials. Univariable logistic regression was used to explore the association between trial characteristics and under-enrolment of non-white groups, using a participant to prevalence ratio of <0.8 to define under-enrolment. This study was registered in PROSPERO (CRD42021229100).

RESULTS

We included 405 RCTs for analysis (327 multi-country trials, 69 conducted in the USA and nine conducted in the UK). The median enrolment rate of all non-white groups was 24.0% in the overall RCTs. Trials conducted in the USA and the UK had median enrolment rates of 29.0% and 12.0% for all non-white groups, respectively. There was a temporal trend towards increased participation of non-white ethnic groups in the overall RCTs; however, no significant improvement over time was found in the US or UK trials. Non-white groups were under-enrolled in most included trials: 62.3% (43/69) in US trials and 77.8% (7/9) in UK trials. The US trials with a high female proportion were associated with lower odds of under-enrolment of all non-white groups (OR 0.22; 95% CI 0.07, 0.65), while trials receiving funding from industry showed increased odds of under-enrolment (OR 4.64; 95% CI 1.50, 14.35). Outpatient enrolment and intervention duration were significantly associated with under-enrolment of Black participants. Only a small proportion of trials reported subgroup results or explored the effect modification by ethnicity.

CONCLUSIONS/INTERPRETATION

A temporal trend towards increased non-white ethnic enrolment was found in diabetes RCTs globally, but not in the USA or the UK. Non-white ethnic groups were under-represented in the majority of diabetes trials conducted in the USA and the UK. Some trial characteristics may be associated with non-white under-enrolment in diabetes trials. These findings provide some evidence for non-white ethnic representativeness in diabetes trials over the past two decades, and highlight the need for more effective strategies and endeavours to alleviate under-enrolment of non-white ethnic groups.

Effects of RAS inhibitors on all-site cancers and mortality in the Hong Kong diabetes surveillance database (2002-2019)

Background

Cancer is replacing cardiovascular-disease as a leading cause of death in type 2 diabetes (T2D). The association of RAS-inhibitors (RASi) and cancer, including differences between angiotensin-converting-enzyme-inhibitor (ACEi) and angiotensin-receptor-blocker (ARBs) as well as their associations independent of blood pressure lowering, remains inconclusive in T2D.

Methods

We conducted a cohort study with new-user design in 253,491 patients in the Hong-Kong-Diabetes-Surveillance-Database (HKDSD) in 2002-2019. We evaluated the associations of time-varying RASi use (ACEi and ARBs) with all-site cancer, diabetes-related cancers, and cancer-specific mortality including comparison with new-users of calcium-channel-blockers (CCBs) as an active-comparator group.

Findings

Of 253,491, 133,730 (52.8%) were new-RASi and 119,761 (47.2%) were non-RASi users with a median follow-up period of 6.3 (interquartile ragne: 3.4-9.2) years (1,678,719 patient-years). After propensity-score weighting and adjustment for time-varying covariables, RASi use was associated with lower risk of all-site cancer (HR=0.76, 95%CI: 0.74-0.79), diabetes-related cancer (HR=0.79, 95%CI: 0.75-0.84), cancer-specific mortality (HR=0.50, 95%CI: 0.47-0.53), and diabetes-related cancer mortality (HR=0.49, 95%CI: 0.45-0.54) versus non-RASi. Amongst RASi users, ARBs use was associated with lower risk of cancer-specific mortality versus ACEi (HR=0.77, 95%CI: 0.66-0.91). Use of RASi was associated with an estimated-prevention of 2.6 (95%CI: 2.3-3.0) all-site cancer per-1000-person-years and 2.2 (95%CI: 2.0-2.5) cancer-related mortality per-1000-person-years. Lower risk of cancer-specific mortality was similarly observed in new-RASi compared with new-CCBs users.

Interpretation

RASi use was independently associated with lower cancer risk in T2D with stronger associations in users of ARBs than ACEi. The benefits of RASi in patients with diabetes might go beyond cardiovascular-renal protection if confirmed by other real-world studies and trials.

Funding

Dr. Aimin Yang was supported by a CUHK Impact-Research-Fellowship Scheme.

Real-World Evidence Prediction of a Phase IV Oncology Trial: Comparative Degarelix vs Leuprolide Safety

BACKGROUND

Medical and regulatory communities are increasingly interested in the utility of real-world evidence (RWE) for answering questions pertaining to drug safety and effectiveness but concerns about validity remain. A principled approach to conducting RWE studies may alleviate concerns and increase confidence in findings. This study sought to predict the findings from the PRONOUNCE trial using a principled approach to generating RWE.

METHODS

This propensity-score (PS) matched observational cohort study utilized 3 claims databases to compare the occurrence of major adverse cardiovascular events (MACE) among initiators of degarelix vs. leuprolide. Patients were included if they had history of prostate cancer and atherosclerotic cardiovascular disease. Subjects were excluded if they didn't have continuous database enrollment in the year prior to treatment initiation, were exposed to androgen deprivation therapy or experienced an acute cardiovascular event within 30 days prior to treatment initiation, or had a history or risk factors of QT prolongation.

RESULTS

There were 12,448 leuprolide and 1,969 degarelix study-eligible patients before matching, with 1,887 in each arm after PS-matching. The results for MACE comparing degarelix to leuprolide in the observational analysis (hazard ratio= 1.35; 95% confidence interval = 0.94-1.93) was consistent with the subsequently released PRONOUNCE result (hazard ratio = 1.28; 95% confidence interval = 0.59-2.79).

CONCLUSIONS

This study successfully predicted the result of a comparative cardiovascular safety trial in the oncology setting. Although the findings are encouraging, limitations of measuring cancer stage and tumor progression are representative of challenges in attempting to generalize whether claims-based RWE can be used as actionable evidence.

Opportunities of Digital Infrastructures for Disease Management-Exemplified on COVID-19-Related Change in Diagnosis Counts for Diabetes-Related Eye Diseases

Background: Retrospective research on real-world data provides the ability to gain evidence on specific topics especially when running across different sites in research networks. Those research networks have become increasingly relevant in recent years; not least due to the special situation caused by the COVID-19 pandemic. An important requirement for those networks is the data harmonization by ensuring the semantic interoperability. Aims: In this paper we demonstrate (1) how to facilitate digital infrastructures to run a retrospective study in a research network spread across university and non-university hospital sites; and (2) to answer a medical question on COVID-19 related change in diagnostic counts for diabetes-related eye diseases. Materials and methods: The study is retrospective and non-interventional and runs on medical case data documented in routine care at the participating sites. The technical infrastructure consists of the OMOP CDM and other OHDSI tools that is provided in a transferable format. An ETL process to transfer and harmonize the data to the OMOP CDM has been utilized. Cohort definitions for each year in observation have been created centrally and applied locally against medical case data of all participating sites and analyzed with descriptive statistics. Results: The analyses showed an expectable drop of the total number of diagnoses and the diagnoses for diabetes in general; whereas the number of diagnoses for diabetes-related eye diseases surprisingly decreased stronger compared to non-eye diseases. Differences in relative changes of diagnoses counts between sites show an urgent need to process multi-centric studies rather than single-site studies to reduce bias in the data. Conclusions: This study has demonstrated the ability to utilize an existing portable and standardized infrastructure and ETL process from a university hospital setting and transfer it to non-university sites. From a medical perspective further activity is needed to evaluate data quality of the utilized real-world data documented in routine care and to investigate its eligibility of this data for research.

A Framework for Visualizing Study Designs and Data Observability in Electronic Health Record Data

Background

There is growing interest in using evidence generated from clinical practice data to support regulatory, coverage and other healthcare decision-making. A graphical framework for depicting longitudinal study designs to mitigate this barrier was introduced and has found wide acceptance. We sought to enhance the framework to contain information that helps readers assess the appropriateness of the source data in which the study design was applied.

Methods

For the enhanced graphical framework, we added a simple visualization of data type and observability to capture differences between electronic health record (EHR) and other registry data that may have limited data continuity and insurance claims data that have enrollment files.

Results

We illustrate the revised graphical framework with 2 example studies conducted using different data sources, including administrative claims only, EHR only, linked claims and EHR, as well as specialty community based EHRs with and without external linkages.

Conclusion

The enhanced visualization framework is important because evaluation of study validity needs to consider the triad of study question, design, and data together. Any given data source or study design may be appropriate for some questions but not others.

Real world data and data science in medical research: present and future

Real world data (RWD) are generating greater interest in recent times despite being not new. There are various purposes of the RWD analytics in medical research as follows: effectiveness and safety of medical treatment, epidemiology such as incidence and prevalence of disease, burden of disease, quality of life and activity of daily living, medical costs, etc. The RWD research in medicine is a mixture of digital transformation, statistics or data science, public health, and regulatory science. Most of the articles describing the RWD or real-world evidence (RWE) in medical research cover only a portion of these specializations, which might lead to an incomplete understanding of the RWD. This article summarizes the overview and challenges of the RWD analysis in medical fields from methodological perspectives. As the first step for the RWD analysis, data source of the RWD should be comprehended. The progress of the RWD is closely related to the digitization, especially of medical administrative data and medical records. Second, the selection of appropriate statistical and epidemiological methods is highly critical for an RWD analysis than those for randomized clinical trials. This is because it contains greater varieties of bias, which should be controlled by balancing the underlying risk between treatment groups. Last, the future of the RWD is discussed in terms of overcoming limited data by proxy confounders, using unstructured text data, linking of multiple databases, using the RWD or RWE for a regulatory purpose, and evaluating values and new aspects in medical research brought by the RWD.

The association between depression symptom endorsement and glycemic outcomes in adolescents with type 1 diabetes

OBJECTIVE

The prevalence of depression among adolescents with type 1 diabetes is estimated to be 2-3 times higher than in the general population. In adults with type 1 diabetes and depression, short-term outcomes are worse compared to individuals just diagnosed with type 1 diabetes. This study aims to determine if depressive symptom endorsement is associated with glycemic outcomes and short-term complications in adolescents with type 1 diabetes.

RESEARCH DESIGN AND METHODS

Analysis was conducted using electronic medical records from the T1D Exchange Quality Improvement Collaborative. Adolescents with type 1 diabetes, aged 12-18, receiving treatment in a diabetes clinic who had been screened for depression with the PHQ-9 between 2016 and 2018 were eligible for inclusion. Individuals must have also had HbA1c data available from the day of depression screening and from 10 to 24 weeks after screening; the final sample size was 1714.

RESULTS

Almost 30% of adolescents endorsed mild or greater (PHQ-9 ≥ 5) depressive symptoms. Endorsement of mild or greater depressive symptoms was associated with an 18% increased risk of an HbA1c ≥7.5% and a 42% increased risk of an HbA1c ≥9.0% on the day of screener administration. Depressive symptom endorsement was also associated with an 82% increased risk for DKA.

CONCLUSIONS

This study suggests that depression symptoms are associated with an increased risk for elevated HbA1c and short-term complications. With the rising incidence of type 1 diabetes in youth, routine screening, and appropriate management of depression is needed.

Time-varying risk associations of renin angiotensin system inhibitors with pneumonia and related deaths in a cohort of 252,616 patients with diabetes (2002-2019)

AIMS

To evaluate the time-varying and cumulative risk associations of renin-angiotensin-system-inhibitors (RASi) with pneumonia and related deaths in people with diabetes.

METHODS

This was a prospective analysis with propensity-score overlap-weighting of a territory-wide cohort (n = 252,616, 1.7 million person-years) and a register-based cohort (n = 13,017, 0.1 million person-years) of patients with diabetes in Hong Kong. We compared risk of pneumonia and related death in new-users of angiotensin-converting-enzyme-inhibitor (ACEi) and angiotensin-receptor-blocker (ARBs) with non-RASi users and new-users of calcium-channel-blockers as active comparator.

RESULTS

Amongst 252,616 people with diabetes (99.3% type 2 diabetes) in the population-based cohort with a mean follow-up of 6.7 years, 73,161 were new-ACEi-only users; 20,907 new-ARBs-only users; 38,778 ACEi/ARBs users; and 119,770 never-ACEi/ARBs. Time-varying RASi exposure was associated with reduced risk of pneumonia (HR = 0.78, 95% CI: 0.75-0.82) and pneumonia-related death (HR = 0.49, 0.46-0.53). The respective HRs for ARBs-only were 0.70 (0.62-0.78) and 0.41 (0.33-0.52) and that of ACEi-only were 0.98 (0.91-1.05) and 0.77 (0.68-86). The attenuated risk association of RASi use was time-invariant for pneumonia (P = 0.340) and time-varying for related-death (P < 0.001) with prevention of 0.6 (0.2-0.9) and 1.4 (1.0-1.6) per-1000-person-years events and deaths, respectively.

CONCLUSIONS

Long-term use of RASi, notably ARBs, was associated with reduced risk of pneumonia and related deaths in Chinese people with diabetes.

Broadening the reach of the FDA Sentinel system: A roadmap for integrating electronic health record data in a causal analysis framework

The Sentinel System is a major component of the United States Food and Drug Administration's (FDA) approach to active medical product safety surveillance. While Sentinel has historically relied on large quantities of health insurance claims data, leveraging longitudinal electronic health records (EHRs) that contain more detailed clinical information, as structured and unstructured features, may address some of the current gaps in capabilities. We identify key challenges when using EHR data to investigate medical product safety in a scalable and accelerated way, outline potential solutions, and describe the Sentinel Innovation Center's initiatives to put solutions into practice by expanding and strengthening the existing system with a query-ready, large-scale data infrastructure of linked EHR and claims data. We describe our initiatives in four strategic priority areas: (1) data infrastructure, (2) feature engineering, (3) causal inference, and (4) detection analytics, with the goal of incorporating emerging data science innovations to maximize the utility of EHR data for medical product safety surveillance.

Emulating a Randomised Controlled Trial With Observational Data: An Introduction to the Target Trial Framework

Randomised controlled trials (RCTs) are often considered to be the highest quality of evidence owing to the absence of baseline confounding, the simplicity of analyses, and direct estimation of causal effects. However, observational studies can be designed to mimic RCTs and estimate causal treatment effects. In this review, we describe the target trial framework to illustrate how observational studies can successfully emulate RCTs. We focus on key design elements of RCTs and how to emulate them with observational data. These elements include 1) eligibility criteria, 2) treatment assignment and randomisation, 3) specification of "time zero", 4) outcomes, 5) follow-up, 6) causal contrasts (intention-to-treat vs per-protocol), and 7) statistical analyses. In addition, we describe the design of an example target trial created to emulate the Trial to Assess Improvement in Therapeutic Outcomes by Optimizing Platelet Inhibition With Prasugrel Thrombolysis in Myocardial Infarction (TRITON-TIMI) 38 trial and compare effect estimates. Overall, careful design of a target trial using observational data can produce causal effect estimates that are often comparable to RCTs.

Calibrating Real-World Evidence Studies Against Randomized Trials: Treatment Effectiveness of Infliximab in Crohn's Disease

Real-world evidence (RWE) on the effectiveness of treatments in Crohn's disease (CD) derived from clinical practice data will help fill many evidence gaps left by randomized controlled trials (RCTs). Emulating RCTs with healthcare database studies may calibrate RWE studies in CD. We aimed to emulate the SONIC trial on the effectiveness of infliximab in patients with CD using US and French healthcare claims data. SONIC had shown improved remission with combination therapy (i.e., infliximab plus thiopurines) compared with infliximab monotherapy. Using claims data (2004-2019) from commercially insured patients in the United States (IBM MarketScan and Optum) and France (Système National des Données de Santé (National Healthcare Data System) (SNDS)), we conducted a cohort study of patients with CD who initiated combination therapy and compared them with patients who initiated infliximab alone. The primary outcome was a composite end point of treatment failure including hospitalization or surgery related to CD, treatment switch, or continuation of corticosteroids 26 weeks after infliximab initiation. Risk ratios (RRs) with 95% confidence intervals (CIs) were estimated in propensity score (PS)-matched cohorts. We identified 1,437 PS-matched pairs of combination therapy vs. infliximab monotherapy users. As in SONIC, the risk of treatment failure was decreased with combination therapy in the overall cohort (RR, 0.71; 95% CI, 0.62-0.82; RR, 0.78; 95% CI, 0.62-0.97 in SONIC). Findings were consistent across MarketScan, Optum, and SNDS databases: RR (95% CI), 0.83 (0.63-1.10), 0.66 (0.46-0.93), and 0.68 (0.57-0.82), as well as component end points. These robust findings highlight opportunities in RWE analysis for studying treatment effectiveness in patients with CD in clinical practice.