Clinical Management of Patients with Non-Small Cell Lung Cancer, Brain Metastases, and Actionable Genomic Alterations: A Systematic Literature Review.

INTRODUCTION: Nearly 60% of patients with non-small cell lung cancer (NSCLC) present with metastatic disease, and approximately 20% have brain metastases (BrMs) at diagnosis. During the disease course, 25-50% of patients will develop BrMs. Despite available treatments, survival rates for patients with NSCLC and BrMs remain low, and their overall prognosis is poor. Even with newer agents for NSCLC, options for treating BrMs can be limited by their ineffective transport across the blood-brain barrier (BBB) and the unique brain tumor microenvironment. The presence of actionable genomic alterations (AGAs) is a key determinant of optimal treatment selection, which aims to maximize responses and minimize toxicities. The objective of this systematic literature review (SLR) was to understand the current landscape of the clinical management of patients with NSCLC and BrMs, particularly those with AGAs. METHOD: A Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA)-compliant SLR was conducted to identify studies in patients with BrMs in NSCLC. Searches used the EMBASE and MEDLINE® databases, and articles published between January 1, 2017 and September 26, 2022 were reviewed. RESULTS: Overall, 179 studies were included in the SLR. This subset review focused on 80 studies that included patients with NSCLC, BrMs, and AGAs (19 randomized controlled trials [RCTs], two single-arm studies, and 59 observational studies). Sixty-four of the 80 studies reported on epidermal growth factor receptor (EGFR) mutations, 14 on anaplastic lymphoma kinase (ALK) alterations, and two on both alterations. Ninety-five percent of studies evaluated targeted therapy. All RCTs allowed patients with previously treated, asymptomatic, or neurologically stable BrMs; the percentage of asymptomatic BrMs varied across observational studies. CONCLUSIONS: Although targeted therapies demonstrate systemic benefits for patients with NSCLC, BrMs, and AGAs, there remains a continued need for effective therapies to treat and prevent BrMs in this population. Increased BBB permeability of emerging therapies may improve outcomes for this population.

Potential biomarkers in breast cancer drug development: application of the biomarker qualification evidentiary framework.

Breast cancer treatments have evolved rapidly, and clinically meaningful biomarkers have been used to guide therapy. These biomarkers hold utility within the drug development process to increase the efficiency and effectiveness. To this purpose, the US FDA developed an evidentiary framework. Literature searches conducted of literature published between 2016 and 2022 identified biomarkers in breast cancer. These biomarkers were reviewed for drug development utility through the biomarker qualification evidentiary framework. In the breast cancer setting, several promising biomarkers (ctDNA, Ki-67 and PIK3CA) were identified. There is a need for increased transparency regarding the requirements for qualification of specific biomarkers and increased awareness of the processes involved in biomarker qualification.

Real-world drug utilization and treatment patterns in patients with tenosynovial giant cell tumors in the USA.

Aim: Real-world treatment patterns in tenosynovial giant cell tumor (TGCT) patients remain unknown. Pexidartinib is the only US FDA-approved treatment for TGCT associated with severe morbidity or functional limitations and not amenable to improvement with surgery. Objective: To characterize drug utilization and treatment patterns in TGCT patients. Methods: In a retrospective observational study using IQVIA's linked prescription and medical claims databases (2018-2021), TGCT patients were stratified by their earliest systemic therapy claim (pexidartinib [N = 82] or non-FDA-approved systemic therapy [N = 263]). Results: TGCT patients treated with pexidartinib versus non-FDA-approved systemic therapies were predominantly female (61 vs 50.6%) and their median age was 47 and 54 years, respectively. Pexidartinib-treated patients had the highest 12-month probability of remaining on treatment (54%); 34.1% of pexidartinib users had dose reduction after their first claim. Conclusion: This study provides new insights into the unmet need, utilization and treatment patterns of systemic therapies for the treatment of TGCT patients.

This database study is the first investigation of how drugs are used to treat patients with tenosynovial giant cell tumor (TGCT) in the real world. We researched adult TGCT patients from IQVIA's prescription and medical claims databases who started treatment with pexidartinib (N = 82) or other non-US FDA-approved systemic therapies (N = 263). The patients included in this analysis were mostly women (61.0 and 50.6%) and their median age was 47 and 54 years for pexidartinib and other non-FDA-approved systemic therapies, respectively. The patients treated with pexidartinib were most likely to remain on treatment (54.0%) at the end of the first year. Most patients (79.3%) started pexidartinib treatment at a total daily dose of 800 mg/day, as per the product label. Only 34.1% of patients had reduced medication dose during follow-up. Of note, this study found that TGCT patients were treated with other systemic therapies which remain unproven to be safe and effective in medical studies of TGCT. Given the unmet need, and with pexidartinib being the only approved systemic treatment in USA, there is an opportunity for the larger population of adult TGCT patients to benefit from its use. Further research is needed to identify barriers for access to pexidartinib and treatment of TGCT patients.

Real-world treatment patterns, healthcare resource utilization and costs among patients with peripheral T-cell lymphoma.

Objective: To evaluate treatment patterns, healthcare resource utilization (HRU) and costs among peripheral T-cell lymphoma (PTCL) patients in the USA. Methods: A retrospective cohort study, using the IQVIA PharMetrics® Plus claims database from 1 April 2011 to 30 November 2021, identified PTCL patients receiving systemic treatments. Three mutually exclusive subcohorts were created based on line of therapy (LOT): 1LOT, 2LOT and ≥3LOT. Common treatment regimens, median time on treatment, all-cause and PTCL-related HRU and costs were estimated. Results: Among 189 PTCL patients identified, 61.9% had 1LOT, 21.7% had 2LOT and 16.4% had ≥3LOT. The most common treatment regimens in the 1LOT were CHOP/CHOP-like, CHOEP/CHOEP-like and brentuximab vedotin; monotherapies were most common in the 2LOT and ≥3LOT. All-cause and PTCL-related hospitalizations and prescriptions PPPM increased with increasing LOT. Nearly 70% of total treatment costs were PTCL related. Conclusion: Higher utilization of combination therapies in the 1LOT and monotherapies in subsequent LOTs were observed, alongside high PTCL-related costs.

Peripheral T-cell lymphomas (PTCL) are a rare and fast-growing form of blood cancer. About 8000­12,000 people in the USA are diagnosed with PTCL every year. As it is a rare disease and has many types, and there is a limited understanding of the patients who have PTCL and the treatments they receive in the real world. The purpose of this study was to evaluate how these patients are treated, what are they treated with and what are the costs of these treatments in the USA. The data collected on these patients was divided into three groups based upon the number of lines of treatment/therapy (LOT) they received: 1LOT, 2LOT and ≥3LOT. This study researched different treatments and their duration in each line of therapy. Among 189 PTCL patients included in the study, the average age of patients was 55 years and 62% were male. Among these patients, 62% had 1LOT, 22% had 2LOT and 16% had ≥3LOT. The most common treatments in the 1LOT were traditional chemotherapy regimens followed by targeted therapies: CHOP (cyclophosphamide, doxorubicin, vincristine and prednisone) or CHOP-like, CHOEP (cyclophosphamide, doxorubicin, vincristine, etoposide and prednisone) or CHOEP-like, and brentuximab vedotin. Treatment regimens with only one drug were most common in the 2LOT and ≥3LOT. The total cost of PTCL treatment in the USA is very high; 70% of this cost is related to their treatment with various drugs. More research is needed to better understand the treatment and cost of this rare cancer.

Discrepancies in ICD-9/ICD-10-based codes used to identify three common diseases in cancer patients in real-world settings and their implications for disease classification in breast cancer patients and patients without cancer: a literature review and descriptive study.

Background: International Classification of Diseases, Ninth/Tenth revisions, clinical modification (ICD-9-CM, ICD-10-CM) are frequently used in the U.S. by health insurers and disease registries, and are often recorded in electronic medical records. Due to their widespread use, ICD-based codes are a valuable source of data for epidemiology studies, but there are challenges related to their accuracy and reliability. This study aims to 1) identify ICD-9/ICD-10-based codes reported in literature/web sources to identify three common diseases in elderly patients with cancer (anemia, hypertension, arthritis), 2) compare codes identified in the literature/web search to SEER-Medicare's 27 CCW Chronic Conditions Algorithm ("gold-standard") to determine their discordance, and 3) determine sensitivity of the literature/web search codes compared to the gold standard. Methods: A literature search was performed (Embase, Medline) to find sources reporting ICD codes for at least one disease of interest. Articles were screened in two levels (title/abstract; full text). Analysis was performed in SAS Version 9.4. Results: Of 106 references identified, 29 were included that reported 884 codes (155 anemia, 80 hypertension, 649 arthritis). Overall discordance between the gold standard and literature/web search code list was 32.9% (22.2% for ICD-9; 35.7% for ICD-10). The gold standard contained codes not found in literature/web sources, including codes for hypertensive retinopathy/encephalopathy, Page Kidney, spondylosis/spondylitis, juvenile arthritis, thalassemia, sickle cell disorder, autoimmune anemias, and erythroblastopenia. Among a cohort of non-cancer patients (N=684,376), the gold standard identified an additional 129 patients with anemia, 33,683 with arthritis, and 510 with hypertension compared to the literature/web search. Among a cohort of breast cancer patients (N=303,103), the gold standard identified an additional 59 patients with anemia, 10,993 with arthritis, and 163 with hypertension. Sensitivity of the literature/web search code list was 91.38-99.96% for non-cancer patients, and 93.01-99.96% for breast cancer patients. Conclusion: Discrepancies in codes used to identify three common diseases resulted in variable differences in disease classification. In all cases, the gold standard captured patients missed using the literature/web search codes. Researchers should use standardized, validated coding algorithms when available to increase consistency in research and reduce risk of misclassification, which can significantly alter the findings of a study.

Elderly patients with acute myeloid leukemia who only receive supportive care in the Surveillance, Epidemiology and End Results-Medicare database: demographics, treatment patterns and outcomes.

Aim: Elderly acute myeloid leukemia (AML) patients are often not treated with antileukemic therapy due to their poor overall health condition, leaving supportive care as the sole treatment option. Objective: To evaluate patient characteristics, treatment patterns and outcomes of elderly patients with AML who are treated with supportive care only. Methods: A retrospective analysis of elderly AML patients included in the Surveillance, Epidemiology and End Results-Medicare database from 2008 to 2015. Results: Of elderly patients with AML (n = 7665), 3209 (41.9%) received supportive care only. Their mean age was 79 years, 50.5% were males; 48.2% died during the first 3 months and 67.3% died during the first 6 months. 82.2% died within the first year; only 13.2% survived >12 months. 77.9% patients died due to leukemia. Conclusion: In elderly AML patients treated with supportive care only, older age, concurrent hypertension, chronic obstructive pulmonary disease, chronic kidney disease and acute myocardial infarction were identified as prognostic factors associated with decreased likelihood of survival. Ideally, these patients should be treated with antileukemic therapy in addition to supportive care, as most of them die from disease progression.

This study analyzed data on elderly patients with acute myeloid leukemia (AML) who were only treated with supportive care. The source of this data was the Surveillance, Epidemiology and End Results (SEER)-Medicare database. Of the 7665 patients diagnosed with AML during 2008­2015, 3209 (41.9%) received supportive care only. Their mean age at index date was 79 years; slightly more than half of these were males (50.5%). Almost half of these patients (48.2%) died within the first 3 months and approximately two-thirds (67.3%) died within the first 6 months. Only a small proportion (13%) of these patients were alive after 1 year. These patients who were alive after one were likely to be in remission (there was decrease in the signs and symptoms of AML). The results of this study showed that elderly AML patients who only received supportive care were more likely to die early if they also had chronic kidney disease, chronic obstructive pulmonary disease, history of acute myocardial infarction or hypertension. As elderly AML patients may be in poor general health and have other diseases (comorbidities), this could be the reason why they may not be treated with antileukemic therapy. Instead of treatment with supportive care only, these patients should ideally receive antileukemic therapy in addition to supportive care. More research should be done to find alternate treatments for these elderly AML patients.

Use of Real-World Evidence in a Virtual Bridging Analysis for a Human Epidermal Growth Factor Receptor 2-Targeted Antibody-Drug Conjugate in Gastric Cancer.

This study bridged pharmacokinetic, efficacy, and safety clinical trial data from Japan to a Western population using real-world evidence (RWE) to investigate the antibody-drug conjugate trastuzumab deruxtecan (T-DXd) in the treatment of human epidermal growth factor receptor 2 (HER2)-positive advanced gastric cancer. Using population pharmacokinetic and exposure-response (efficacy/safety) models, exposure-efficacy data from 117 patients and exposure-safety data from 158 patients in Japan who received T-DXd 6.4 mg/kg as second-line or later treatment were bridged to RWE including covariate information from 25 Western patients with HER2-positive gastric cancer who received second-line or later T-DXd treatment. Pharmacokinetic simulations indicated that intact T-DXd and released drug (DXd) steady-state exposures were comparable between Western patients and patients from Japan; the Western/Japan ratio of exposure medians ranged from 0.82 (T-DXd steady-state minimum concentration) to 1.18 (DXd steady-state maximum concentration). Exposure-efficacy simulations estimated a confirmed objective response rate of 28.6% (90% confidence interval, 20.8-38.4) in real-world Western patients versus 40.1% (90% confidence interval, 33.5-47.0) in patients from Japan, possibly because of checkpoint inhibitor use in 4% versus 30% of patients, respectively. Western patients had a higher estimated rate of serious adverse events than patients from Japan (42.2% vs 34.6%); however, the rate of interstitial lung disease was lower (less than 10%) in Western patients. Overall, T-DXd was predicted to have meaningful clinical activity and a manageable safety profile in Western patients with HER2-positive gastric cancer. Using RWE, bridging analysis supported US approval of T-DXd 6.4 mg/kg in advanced gastric cancer before a clinical trial was completed in Western patients.

Incidence and Risk Factors for Development of Cardiac Toxicity in Adult Patients with Newly Diagnosed Acute Myeloid Leukemia.

The incidence of cardiac morbimortality in acute myeloid leukemia (AML) is not well known. We aim to estimate the cumulative incidence (CI) of cardiac events in AML patients and to identify risk factors for their occurrence. Among 571 newly diagnosed AML patients, 26 (4.6%) developed fatal cardiac events, and among 525 treated patients, 19 (3.6%) experienced fatal cardiac events (CI: 2% at 6 months; 6.7% at 9 years). Prior heart disease was associated with the development of fatal cardiac events (hazard ratio (HR) = 6.9). The CI of non-fatal cardiac events was 43.7% at 6 months and 56.9% at 9 years. Age ≥ 65 (HR = 2.2), relevant cardiac antecedents (HR = 1.4), and non-intensive chemotherapy (HR = 1.8) were associated with non-fatal cardiac events. The 9-year CI of grade 1-2 QTcF prolongation was 11.2%, grade 3 was 2.7%, and no patient had grade 4-5 events. The 9-year CI of grade 1-2 cardiac failure was 1.3%, grade 3-4 was 15%, and grade 5 was 2.1%; of grade 1-2, arrhythmia was 1.9%, grade 3-4 was 9.1%, and grade 5 was 1%. Among 285 intensive therapy patients, median overall survival decreased in those experiencing grade 3-4 cardiac events (p < 0.001). We observed a high incidence of cardiac toxicity associated with significant mortality in AML.

The Use of Biomarkers in Pharmacovigilance: A Systematic Review of the Literature.

Background: The use of biomarkers varies from disease etiognosis and diagnosis to signal detection, risk prediction, and management. Biomarker use has expanded in recent years, however, there are limited reviews on the use of biomarkers in pharmacovigilance and specifically in the monitoring and management of adverse drug reactions (ADRs). Objective: The objective of this manuscript is to identify the multiple uses of biomarkers in pharmacovigilance irrespective of the therapeutic area. Design: This is a systematic review of the literature. Data Sources and Methods: Embase and MEDLINE database searches were conducted for literature published between 2010-March 19, 2021. Scientific articles that described the potential use of biomarkers in pharmacovigilance in sufficient detail were reviewed. Papers that did not fulfill the United States Food and Drug Administration (US FDA) definition of a biomarker were excluded, which is based on the International Conference on Harmonisation (ICH)-E16 guidance. Results: Twenty-seven articles were identified for evaluation. Most articles involved predictive biomarkers (41%), followed by safety biomarkers (38%), pharmacodynamic/response biomarkers (14%), and diagnostic biomarkers (7%). Some articles described biomarkers that applied to multiple categories. Conclusion: Various categories of biomarkers including safety, predictive, pharmacodynamic/response, and diagnostic biomarkers are being investigated for potential use in pharmacovigilance. The most frequent potential uses of biomarkers in pharmacovigilance in the literature were the prediction of the severity of an ADR, mortality, response, safety, and toxicity. The safety biomarkers identified were used to evaluate patient safety during dose escalation, identify patients who may benefit from further biomarker testing during treatment, and monitor ADRs.

Characteristics and outcomes of elderly patients with acute myeloid leukemia who receive no treatment in the Surveillance, Epidemiology and End Results-Medicare database.

Background: Without treatment, acute myeloid leukemia (AML) is rapidly fatal. Nevertheless, a large proportion of elderly AML patients do not receive any treatment. Aim: To characterize the demographics, comorbidities, survival and prognostic factors of elderly AML patients who do not receive any AML treatment or supportive care (SC). Methods: A retrospective cohort analysis of the Surveillance, Epidemiology and End Results-Medicare database (2008-2015). Results: Of 7665 AML patients, 2373 (31%) did not receive any AML treatment or SC. The mean age was 80.4 years, 52.8% were males and 79.7% and 95.3% died within the first 60 and 180 days, respectively; 2.1% survived >12 months and only 5.5% of patients had remission or relapse codes populated. Conclusion: Older age, male gender, concurrent depression, ischemic heart disease, chronic kidney disease and benign prostatic hyperplasia were associated with a decreased likelihood of survival. Multiple factors contribute to the complex clinical status of these patients preventing intensive chemotherapy; they should still ideally be treated, at least with the best SC.

An analysis of the data collected in the Surveillance, Epidemiology and End Results-Medicare database from 2008 to 2015 was performed. This database includes data collected by a national cancer registry on people diagnosed with cancer in the United States and those who enroll in Medicare. This study focused on acute myeloid leukemia (AML) patients who did not receive any AML treatment or supportive care (SC). Of 7665 patients with AML, 2373 (31%) did not receive any AML treatment or SC. At the time the data was indexed for each patient in the database, their mean age was 80.4 years and around 53% were males. Within the first 60 days, around 80% of these patients died; over 95% died within the first 180 days. Only 2% of patients survived more than a year without treatment; these patients were likely in remission. Without treatment, AML patients who were older, were male or who also had depression, ischemic heart disease, chronic kidney disease or benign prostatic hyperplasia had a higher chance of dying early. There could be many reasons why these patients are not treated. The main reasons are their poor health condition and the presence of two or more health conditions in a patient at the same time (comorbidities). However, they should still ideally be treated, at least with the best SC. Additional treatment options are urgently needed for elderly AML patients who have comorbidities and are in poor general health.

Safety surveillance and challenges in accelerated COVID-19 vaccine development.

The COVID-19 pandemic, caused by a novel type of coronavirus, continues to infect people, increasing morbidity and mortality across the globe. Measures to slow the transmission of the virus have had limited impact, and people, businesses, and economies have suffered. The disease has disproportionally impacted elderly and individuals with certain pre-existing conditions and has highlighted health and social inequities in some racial and ethnic minority groups. The majority of those who contract the disease recover completely, but some experience long-lasting complications. Vaccines have the potential to end the pandemic, and through the intense collaboration of scientists in government and private sectors, more than 200 COVID-19 candidate vaccines have been or are being developed, using known platforms and previous experiences with severe acute respiratory syndrome (SARS), at unprecedented speed. The expectations for vaccine safety and quality in the setting of accelerated development are the same as during non-emergency times; however, challenges inherent with the circumstances of the pandemic situation provide opportunities to improve clinical trial conduct and strengthen pharmacovigilance systems. We have reviewed and analyzed existing PV guidelines and recommendations throughout the lifecycle of vaccine development with a focus on developing a global/worldwide effort for post-marketing vaccine safety surveillance. Plain Language Summary: The Important Role of Pharmacovigilance in Accelerated COVID-19 Vaccine Development This is an extensive review that intends to address important aspects of COVID-19 vaccines' accelerated development and safety surveillance. It is focused on regulatory requirements for long-term safety monitoring, practical applications, and current global efforts in developing robust pharmacovigilance systems for post-authorization surveillance.Notably, different perspectives of authors from industry, academic institutions, and contract research organizations involved in drug safety were incorporated to reflect on various regulatory requirements and new developments in vaccine safety. All co-authors are current members of International Society of Pharmacovigilance (ISoP).

The Use of Artificial Intelligence in Pharmacovigilance: A Systematic Review of the Literature.

INTRODUCTION: Artificial intelligence through machine learning uses algorithms and prior learnings to make predictions. Recently, there has been interest to include more artificial intelligence in pharmacovigilance of products already in the market and pharmaceuticals in development. OBJECTIVE: The aim of this study was to identify and describe the uses of artificial intelligence in pharmacovigilance through a systematic literature review. METHODS: Embase and MEDLINE database searches were conducted for articles published from January 1, 2015 to July 9, 2021 using search terms such as 'pharmacovigilance,' 'patient safety,' 'artificial intelligence,' and 'machine learning' in the title or abstract. Scientific articles that contained information on the use of artificial intelligence in all modalities of patient safety or pharmacovigilance were reviewed and synthesized using a pre-specified data extraction template. Articles with incomplete information and letters to editor, notes, and commentaries were excluded. RESULTS: Sixty-six articles were identified for evaluation. Most relevant articles on artificial intelligence focused on machine learning, and it was used in patient safety in the identification of adverse drug events (ADEs) and adverse drug reactions (ADRs) (57.6%), processing safety reports (21.2%), extraction of drug-drug interactions (7.6%), identification of populations at high risk for drug toxicity or guidance for personalized care (7.6%), prediction of side effects (3.0%), simulation of clinical trials (1.5%), and integration of prediction uncertainties into diagnostic classifiers to increase patient safety (1.5%). Artificial intelligence has been used to identify safety signals through automated processes and training with machine learning models; however, the findings may not be generalizable given that there were different types of data included in each source. CONCLUSION: Artificial intelligence allows for the processing and analysis of large amounts of data and can be applied to various disease states. The automation and machine learning models can optimize pharmacovigilance processes and provide a more efficient way to analyze information relevant to safety, although more research is needed to identify if this optimization has an impact on the quality of safety analyses. It is expected that its use will increase in the near future, particularly with its role in the prediction of side effects and ADRs.

Turalio risk evaluation and mitigation strategy for treatment of tenosynovial giant cell tumor: framework and experience.

For drugs with enhanced serious safety risks, Risk Evaluation and Mitigation Strategy (REMS) may be required. Pexidartinib is approved for treatment of adult symptomatic tenosynovial giant cell tumor (TGCT) associated with severe morbidity or functional limitations and not amenable to improvement with surgery. Its approval was conditional on its prescription via a mandatory REMS due to serious and potentially fatal liver injury seen in clinical trials. Turalio® REMS aims to mitigate this risk by ensuring provider education on pexidartinib use and required REMS components, prescriber adherence to baseline and periodic monitoring, and enrolling patients in a registry to further assess safe use and acute, chronic and irreversible hepatotoxicity. Through Turalio REMS, benefits of treating patients with pexidartinib may be preserved.

For drugs with serious side effects, specific safety measures may be put in place to manage these serious side effects in the form of Risk Evaluation and Mitigation Strategy (REMS) programs. Pexidartinib (Turalio^®) is approved for treatment of adults who have symptoms of severe tenosynovial giant cell tumor or have limitations in function that do not improve with surgery. Turalio^® has an REMS program because liver injuries that can be serious or fatal were seen in Pexidartinib clinical trials. This program aims to decrease the seriousness of the liver injuries by assuring doctors and pharmacists are educated on how to use the drug, patients are advised of this potential risk and that baseline and periodic monitoring of patients are conducted.

Health-related quality of life in women with breast cancer: a review of measures.

BACKGROUND: To identify and describe the breast cancer-specific health-related quality of life (HRQoL) instruments with evidence of validation in the breast cancer population for potential use in patients treated for breast cancer (excluding surgery). METHODS: We conducted a systematic literature review using PubMed, Embase, and PsycINFO databases to identify articles that contain psychometric properties of HRQoL instruments used in patients with breast cancer. Relevant literature from January 1, 2009, to August 19, 2019, was searched. Articles published in English that reported psychometric properties (reliability, validity) of HRQoL instruments were identified. RESULTS: The database search yielded 613 unique records; 131 full-text articles were reviewed; 80 articles presented psychometric data for instruments used in breast cancer (including generic measures). This article reviews the 33 full articles describing psychometric properties of breast cancer-specific HRQoL instruments: EORTC QLQ-C30, EORTC QLQ-BR23, FACT-B, FBSI, NFBSI-16, YW-BCI36, BCSS, QuEST-Br, QLICP-BR, INA-BCHRQoL, and two newly developed unnamed measures, one by Deshpande and colleagues (for use in India) and one by Vanlemmens and colleagues (for use among young women and their partners). The articles that described the EORTC QLQ-C30, QLQ-BR23, and FACT-B centered on validating translations, providing additional support for content validity, and demonstrating acceptability of electronic patient-reported outcome administration. Psychometric properties of the measures were acceptable. Several new measures have been developed in Asia with an emphasis on development on cultural relevance/sensitivity. Others focused on specific populations (i.e., young women with breast cancer). CONCLUSIONS: Historically, there have been limited options for validated measures to assess HRQoL of patients with breast cancer. A number of new measures have been developed and validated, offering promising options for assessing HRQoL in this patient population. This review supports the reliability and validity of the EORTC QLQ-C30 and FACT-B; new translations and electronic versions of these measures further support their use for this population.

Data sources for drug utilization research in Latin American countries-A cross-national study: DASDUR-LATAM study.

PURPOSE: Drug utilization research (DUR) contributes to inform policymaking and to strengthen health systems. The availability of data sources is the first step for conducting DUR. However, documents that systematize these data sources in Latin American (LatAm) countries are not known. We compiled the potential data sources for DUR in the LatAm region. METHODS: A network of DUR experts from nine LatAm countries was assembled and experts conducted: (i) a website search of the government, academic, and private health institutions; (ii) screening of eligible data sources, and (iii) liaising with national experts in pharmacoepidemiology (via an online survey). The data sources were characterized by accessibility, geographic granularity, setting, sector of the data, sources and type of the data. Descriptive analyses were performed. RESULTS: We identified 125 data sources for DUR in nine LatAm countries. Thirty-eight (30%) of them were publicly and conveniently available; 89 (71%) were accessible with limitations, and 18 (14%) were not accessible or lacked clear rules for data access. From the 125 data sources, 76 (61%) were from the public sector only; 46 (37%) were from pharmacy records; 43 (34%) came from ambulatory settings and; 85 (68%) gave access to individual patient-level data. CONCLUSIONS: Although multiple sources for DUR are available in LatAm countries, the accessibility is a major challenge. The procedures for accessing DUR data should be transparent, feasible, affordable, and protocol-driven. This inventory could permit a comparison of drug utilization between countries identifying potential medication-related problems that need further exploration.

Drug utilization research in Peru: Is real-world data available?

Background: Drug utilization research (DUR) is used to provide evidence-based data to inform policies and make decisions. The aim of this study was to map and describe available data sources for drug utilization research in Peru. Methods: We performed a search of data sources providing information on medication use on the website of governmental organizations. We also conducted a literature review using PubMed, LILACs, and BVS. Independently, researchers screened eligible data sources. Data characterization included accessibility, coverage data provider, type of data sources, and setting. We performed a descriptive analysis. Results: We identified seven data sources, CENAFyT, ICI, IDI (SISMED), and ENSUSALUD from MINSA, and CRI-ESSALUD, SGSS/ESSI, and ENSSA from ESSALUD. These presented information on adverse drug reactions (n = 2), drug consumption, and distribution (n = 2), prescription and drug dispensing (n = 1), and surveys addressed to medication users (n = 2). ENSUSALUD was the only data source publicly available. VIGIFLOW and ENSUSALUD have a national granularity from the public and private sectors. The setting of the data sources was both hospital and ambulatory care. Two data sources have individual-level data on adverse drug reactions and one on prescriptions. Four studies on drug utilization research in Peru were derived from ENSUSALUD. Conclusion: In Peru, few data sources are available for drug utilization research. There is an increased need to monitor medications for decision-making purposes. Local and international initiatives and partnerships of the government with academic institutions and the private sector might be a good strategy to increase the transparency of health data and for supporting decision-making using drug utilization research.

Prognostic factors of brain metastasis and survival among HER2-positive metastatic breast cancer patients: a systematic literature review.

BACKGROUND: Patients with breast cancer who overexpress the human epidermal growth factor receptor 2 (HER2) and subsequently develop brain metastasis (BM) typically experience poor quality of life and low survival. We conducted a comprehensive literature review to identify prognostic factors for BM and predictors of survival after developing BM, and the effects of therapies with different mechanisms of action among patients with HER2+ breast cancer (BC). METHODS: A prespecified search strategy was used to identify research studies investigating BM in patients with HER2+ BC published in English during January 1, 2009-to June 25, 2021. Articles were screened using a two-phase process, and data from selected articles were extracted. RESULTS: We identified 25 published articles including 4097 patients with HER2+ BC and BM. Prognostic factors associated with shorter time to BM diagnosis after initial BC diagnosis included younger age, hormone receptor negative status, larger tumor size or higher tumor grade, and lack of treatment with anti-HER2 therapy. Factors predictive of longer survival after BM included having fewer brain lesions (< 3 or a single lesion) and receipt of any treatment after BM, including radiosurgery, neurosurgery and/or systemic therapy. Patients receiving combination trastuzumab and lapatinib therapy or trastuzumab and pertuzumab therapy had the longest median survival compared with other therapies assessed in this review. CONCLUSIONS: More research is needed to better understand risk factors for BM and survival after BM in the context of HER2+ BC, as well as the assessment of new anti-HER2 therapy regimens that may provide additional therapeutic options for BM in these patients.

Use of comorbidity indices in patients with any cancer, breast cancer, and human epidermal growth factor receptor-2-positive breast cancer: A systematic review.

OBJECTIVE: To identify comorbidity indices that have been validated in cancer populations, with a focus on breast cancer and human epidermal growth factor receptor-2-positive (HER2+) breast cancer. STUDY DESIGN AND SETTING: A systematic review of the literature on the use of comorbidity indices in any cancer, breast cancer, and HER2+ breast cancer using Ovid and PubMed. RESULTS: The final data set comprised 252 articles (252 any cancer, 39 breast cancer, 7 HER2+ breast cancer). The most common cancers assessed were hematologic and breast, and the most common comorbidity index used was the Charlson Comorbidity Index (CCI) or a CCI derivative. Most validity testing of comorbidity indices used predictive validity based on survival outcomes. Hazard ratios for survival outcomes generally found that a higher comorbidity burden (measured by CCI) increased mortality risk in patients with breast cancer. All breast-cancer studies that validated comorbidity indices used CCI-based indices. Only one article validated a comorbidity index in HER2+ breast cancer. CONCLUSION: CCI-based indices are the most appropriate indices to use in the general breast-cancer population. There is insufficient validation of any comorbidity index in HER2+ breast cancer to provide a recommendation, indicating a future need to validate these instruments in this population.