Real world evidence: experience and lessons from China.
Ontology highlight
ABSTRACT:
SUBMITTER: Sun X
PROVIDER: S-EPMC5797980 | biostudies-literature | 2018 Feb
REPOSITORIES: biostudies-literature
Publications
Real world evidence: experience and lessons from China.
Sun Xin X Tan Jing J Tang Li L Guo Jeff Jianfei JJ Li Xinling X
BMJ (Clinical research ed.) 20180205
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Project description:Lysosomal storage disorders (LSD) are rare diseases, caused by inherited deficiencies of lysosomal enzymes/transporters, that affect 1 in 7000 to 1 in 8000 newborns. Individuals with LSDs face long diagnostic journeys during which debilitating and life-threatening events can occur. Clinical trials and classical descriptions of LSDs typically focus on common manifestations, which are not representative of the vast phenotypic heterogeneity encountered in real-world experience. Additionally, recognizing that there was a limited understanding of the natural history, disease progression, and real-world clinical outcomes of rare LSDs, a collaborative partnership was pioneered 30 years ago to address these gaps. The Rare Disease Registries (RDR) (for Gaucher, Fabry, Mucopolysaccharidosis type I, and Pompe), represent the largest observational database for these LSDs. Over the past thirty years, data from the RDRs have helped to inform scientific understanding and the development of comprehensive monitoring and treatment guidelines by creating a framework for data collection and establishing a standard of care, with an overarching goal to improve the quality of life of affected patients. Here, we highlight the history, process, and impact of the RDRs, and discuss the lessons learned and future directions.
| S-EPMC9573793 | biostudies-literature
Project description:Canadian provinces routinely collect patient-level data for administrative purposes. These real-world data (RWD) can be used to generate real-world evidence (RWE) to inform clinical care and healthcare policy. The CanREValue Collaboration is developing a framework for the use of RWE in cancer drug funding decisions. A Data Working Group (WG) was established to identify data assets across Canada for generating RWE of oncology drugs. The mapping exercise was conducted using an iterative scan with informant surveys and teleconference. Data experts from ten provinces convened for a total of three teleconferences and two in-person meetings from March 2018 to September 2019. Following each meeting, surveys were developed and shared with the data experts which focused on identifying databases and data elements, as well as a feasibility assessment of conducting RWE studies using existing data elements and resources. Survey responses were compiled into an interim data report, which was used for public stakeholder consultation. The feedback from the public consultation was used to update the interim data report. We found that databases required to conduct real-world studies are often held by multiple different data custodians. Ninety-seven databases were identified across Canada. Provinces held on average 9 distinct databases (range: 8-11). An Essential RWD Table was compiled that contains data elements that are necessary, at a minimal, to conduct an RWE study. An Expanded RWD Table that contains a more comprehensive list of potentially relevant data elements was also compiled and the availabilities of these data elements were mapped. While most provinces have data on patient demographics (e.g., age, sex) and cancer-related variables (e.g., morphology, topography), the availability and linkability of data on cancer treatment, clinical characteristics (e.g., morphology and topography), and drug costs vary among provinces. Based on current resources, data availability, and access processes, data experts in most provinces noted that more than 12 months would be required to complete an RWE study. The CanREValue Collaboration's Data WG identified key data holdings, access considerations, as well as gaps in oncology treatment-specific data. This data catalogue can be used to facilitate future oncology-specific RWE analyses across Canada.
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Project description:Urothelial carcinoma (UC) of the urinary bladder has significant challenges in treatment due to its diverse genetic landscape and variable response to systemic therapy. In recent years, patient-derived organoids (PDOs) emerged as a novel tool to model primary tumors with higher resemblance than conventional 2D cell culture approaches. However, the potential of organoids to predict therapy response in a clinical setting remains to be evaluated. This study explores the clinical feasibility of PDOs for pharmacotyping in UC. Initially, we subjected tumor tissue specimens from 50 patients undergoing transurethral resection or radical cystectomy to organoid propagation, of whom 19 (38%) yielded PDOs suitable for drug sensitivity assessment. Notably, whole transcriptome-based analysis indicated that PDOs may show phenotypes distinct from their parental tumor tissue. Pharmacotyping within a clinically relevant timeframe [mean of 35.44 and 55 days for non-muscle invasive bladder cancer (NMIBC) and muscle invasive bladder cancer (MIBC), respectively] was achieved. Drug sensitivity analyses revealed marked differences between NMIBC and MIBC, with MIBC-derived organoids demonstrating higher chemosensitivity toward clinically relevant drugs. A case study correlating organoid response with patient treatment outcome illustrated the complexity of predicting chemotherapy efficacy, especially considering the rapid acquisition of drug resistance. We propose a workflow of prospective organoid-based pharmacotyping in UC, enabling further translational research and integration of this approach into clinical practice.
2024-11-03 | GSE280749 | GEO
Project description:Despite the availability of various osteoporosis treatments, adherence remains suboptimal. One contributing factor may be patient experience with therapy. This US, multicenter, combined retrospective chart review and patient questionnaire study included postmenopausal women at high risk for fracture and is the first study to describe real-world patient experience with abaloparatide (ABL) injection. Eight geographically diverse secondary care sites in the United States participated (n = 193). Mean ± SD age was 67.4 ±8.62 years. Most patients (86%) were satisfied with the ABL regimen, especially with ease of preparation (82%), ease of storage (87%), and storage convenience (89%), an attribute 83% of the patients thought was important. The majority of patients reported complete satisfaction with the ABL regimen allowing for their ability to conduct daily activities (85%) and convenience to fit into their daily schedule (84%). All reported taking ABL as directed, by injection in the lower abdomen, and 83% of patients reported medium or high adherence. Patients were satisfied with the needle size (76% completely satisfied), and 93% reported never deliberately missing a dose. Although injecting medication (18%) and higher out-of-pocket costs (17%) were deemed the most bothersome attributes, the majority (69%) noted their healthcare team understands how osteoporosis impacts their lives. In multivariable analyses, ease of preparation (OR = 2.62; 95% CI, 1.01-6.81; p = 0.048) and fracture history (OR = 1.72; 95% CI, 1.03-2.86; p = 0.037) were significantly associated with overall satisfaction. Ease of preparation was a predictor of higher satisfaction with treatment convenience (coefficient = 13.60; 95% CI, 8.08-19.12; p = 0.00). Remembering to take the medication was a significant predictor of self-reported adherence (OR = 16.66; 95% CI, 3.30-84.24; p = 0.001). In conclusion, the majority of patients were satisfied with ABL and found it convenient/easy to prepare and store. High self-reported adherence may be associated with positive patient experience including ease of use and adequate support from healthcare providers. © 2020 The Authors. JBMR Plus published by Wiley Periodicals LLC. on behalf of American Society for Bone and Mineral Research.
| S-EPMC7990148 | biostudies-literature
Project description:Idiopathic pulmonary fibrosis (IPF) is a fibrotic interstitial lung disease associated with significant morbidity and mortality. Previously, IPF has been managed using immunosuppressive therapy; however, it has been shown that this is associated with increased mortality. In the last 5 years, two disease-modifying agents have been licensed for use in IPF, namely pirfenidone and nintedanib. Nintedanib is a tyrosine kinase inhibitor with antifibrotic properties that has also been shown to significantly reduce the progression of the disease. The scientific evidence shows that nintedanib is effective and well tolerated for the treatment of IPF in mild, moderate and severe stages of the disease. Real-world experiences also support the findings of previously conducted clinical trials and show that nintedanib is effective for the management of IPF and is associated with reducing disease progression. Gastrointestinal events, mainly diarrhoea, are the main adverse events caused by the treatment. Recent real-word studies also suggest that nintedanib stabilizes lung function till lung transplantation, with no increased surgical complications or postoperative mortality after lung transplantation. In this review, we will discuss the clinical trial evidence and real-world experience for nintedanib in the management of IPF.
| S-EPMC6156214 | biostudies-literature
Project description:BackgroundInitiating ivabradine in acute heart failure (HF) is still controversial.HypothesisIvabradine might be effective to be added in acute but hemodynamically stable HF.MethodsA retrospective cohort of hemodynamically stable acute HF patients was enrolled from January 2018 to January 2020 and followed until July 2020. The primary endpoints were all-cause mortality and rehospitalization for HF. Secondary endpoints included heart rate (HR), cardiac function measured by New York Heart Association (NYHA) class, and left ventricular ejection fraction (LVEF) and adverse events, which were compared between patients with or without ivabradine.ResultsA total of 126 patients were enrolled (50 males, median age 54 years, 81% with decompensated HF, median follow-up of 9 months). In patients treated with ivabradine, although baseline HRs were higher than the reference group (96 vs. 80 bpm), they were comparable after 3 months; more patients tolerated high doses of β-blockers (27% vs. 7.9%), improved to NYHA class I function (55.6% vs. 23.8%) and exhibited normal LVEFs (37.8% vs. 14.3%) than the reference group (all p < .05). Ivabradine was associated with a significant reduction of rehospitalization for HF than the reference group (25.4% vs.61.9%), with longer event-free survival times (hazard ratio: 0.45, 95% confidence interval [CI]: 0.25-0.79), and was related with primary endpoints negatively (hazard ratio 0.51, 95% CI: 0.28-0.91) (all p < .05).ConclusionIn patients with acute but hemodynamically stable HF, ivabradine may significantly reduce HR, improve cardiac function, and reduce HF rehospitalization.
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Project description:Stage III non-small cell lung cancer (NSCLC) has a dismal prognosis, with only 15-20% of patients alive at 5?years after concomitant chemo-radiotherapy, which represents the standard treatment. Targeting immune-checkpoint inhibitors represents a standard option for advanced NSCLC. Improvements in understanding of the immune profile of NSCLC has led to the development of immunotherapeutic strategies, including inhibitory molecules responsible for abrogating an anticancer immune response such as programmed cell-death 1 and programmed cell-death ligand 1. A recently published phase III trial (PACIFIC) showed for the first time an improved overall survival in stage III NSCLC patients with consolidative durvalumab. The aim of this review is to summarize and discuss the clinical evidence for the use of durvalumab in stage III NSCLC, with a brief overview on future perspectives in this setting.
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Project description:Recombinant interferon (IFN) β-1b was approved by the US Food and Drug Administration as the first disease-modifying therapy (DMT) for multiple sclerosis (MS) in 1993. Since that time, clinical trials and real-world observational studies have demonstrated the effectiveness of IFN therapies. The pivotal intramuscular IFN β-1a phase III trial published in 1996 was the first to demonstrate that a DMT could reduce accumulation of sustained disability in MS. Patient adherence to treatment is higher with intramuscular IFN β-1a, given once weekly, than with subcutaneous formulations requiring multiple injections per week. Moreover, subcutaneous IFN β-1a is associated with an increased incidence of injection-site reactions and neutralizing antibodies compared with intramuscular administration. In recent years, revisions to MS diagnostic criteria have improved clinicians' ability to identify patients with MS and have promoted the use of magnetic resonance imaging (MRI) for diagnosis and disease monitoring. MRI studies show that treatment with IFN β-1a, relative to placebo, reduces T2 and gadolinium-enhancing lesions and gray matter atrophy. Since the approval of intramuscular IFN β-1a, a number of high-efficacy therapies have been approved for MS, though the benefit of these high-efficacy therapies should be balanced against the increased risk of serious adverse events associated with their long-term use. For some subpopulations of patients, including pregnant women, the safety profile of IFN β formulations may provide a particular benefit. In addition, the antiviral properties of IFNs may indicate potential therapeutic opportunities for IFN β in reducing the risk of viral infections such as COVID-19.
| S-EPMC8258741 | biostudies-literature
Project description:BackgroundHCV protease inhibitors (PIs) boceprevir and telaprevir in combination with PEG-Interferon alfa and Ribavirin (P/R) is the new standard of care in the treatment of chronic HCV genotype 1 (GT1) infection. However, not every HCV GT1 infected patient is eligible for P/R/PI therapy. Furthermore phase III studies did not necessarily reflect real world as patients with advanced liver disease or comorbidities were underrepresented. The aim of our study was to analyze the eligibility and safety of P/R/PI treatment in a real world setting of a tertiary referral center.MethodsAll consecutive HCV GT1 infected patients who were referred to our hepatitis treatment unit between June and November 2011 were included. Patients were evaluated for P/R/PI according to their individual risk/benefit ratio based on 4 factors: Treatment-associated safety concerns, chance for SVR, treatment urgency and nonmedical patient related reasons. On treatment data were analyzed until week 12.Results208 patients were included (F3/F4 64%, mean platelet count 169/nl, 40% treatment-naïve). Treatment was not initiated in 103 patients most frequently due to safety concerns. 19 patients were treated in phase II/III trials or by local centers and a triple therapy concept was initiated at our unit in 86 patients. Hospitalization was required in 16 patients; one patient died due to a gastrointestinal infection possibly related to treatment. A platelet count of <110/nl was associated with hospitalization as well as treatment failure. Overall, 128 patients were either not eligible for therapy or experienced a treatment failure at week 12.ConclusionsP/R/PI therapies are complex, time-consuming and sometimes dangerous in a real world setting, especially in patients with advanced liver disease. A careful patient selection plays a crucial role to improve safety of PI based therapies. A significant number of patients are not eligible for P/R/PI, emphasizing the need for alternative therapeutic options.
| S-EPMC3562338 | biostudies-literature
Project description:IntroductionReal-world evidence is important in regulatory and funding decisions. Manual data extraction from electronic health records (EHRs) is time-consuming and challenging to maintain. Automated extraction using natural language processing (NLP) and artificial intelligence may facilitate this process. Whereas NLP offers a faster solution than manual methods of extraction, the validity of extracted data remains in question. The current study compared manual and automated data extraction from the EHR of patients with advanced lung cancer.MethodsPreviously, we extracted EHRs from 1209 patients diagnosed with advanced lung cancer (stage IIIB or IV) between January 2015 and December 2017 at Princess Margaret Cancer Centre (Toronto, Canada) using the commercially available artificial intelligence engine, DARWEN (Pentavere, Ontario, Canada). For comparison, 100 of 333 patients that received systemic therapy were randomly selected and clinical data manually extracted by two trained abstractors using the same accepted gold standard feature definitions, including patient, disease characteristics, and treatment data. All cases were re-reviewed by an expert adjudicator. Accuracy and concordance between automated and manual methods are reported.ResultsAutomated extraction required considerably less time (<1 day) than manual extraction (∼225 person-hr). The collection of demographic data (age, sex, diagnosis) was highly accurate and concordant with both methods (96%-100%). Accuracy (for either extraction approach) and concordance were lower for unstructured data elements in EHR, such as performance status, date of diagnosis, and smoking status (NLP accuracy: 88%-94%; Manual accuracy: 78%-94%; concordance: 71%-82%). Concurrent medications (86%-100%) and comorbid conditions (96%-100%), were reported with high accuracy and concordance. Treatment details were also accurately captured with both methods (84%-100%) and highly concordant (83%-99%). Detection of whether biomarker testing was performed was highly accurate and concordant (96%-98%), although detection of biomarker test results was more variable (accuracy 84%-100%, concordance 84%-99%). Features with syntactic or semantic variation requiring clinical interpretation were extracted with slightly lower accuracy by both NLP and manual review. For example, metastatic sites were more accurately identified through NLP extraction (NLP: 88%-99%; manual: 71%-100%; concordance: 70%-99%) with the exception of lung and lymph node metastases (NLP: 66%-71%; manual: 87%-92%; concordance: 58%) owing to analogous terms used in radiology reports not being included in the accepted gold standard definition.ConclusionsAutomated data abstraction from EHR is highly accurate and faster than manual abstraction. Key challenges include poorly structured EHR and the use of analogous terms beyond the accepted gold standard definition. The application of NLP can facilitate real-world evidence studies at a greater scale than could be achieved with manual data extraction.
| S-EPMC9201015 | biostudies-literature