Characterization of accelerated approval status, trial endpoints and results, and recommendations in guidelines for oncology drug treatments from the National Comprehensive Cancer Network: cross sectional study.

Objectives: To evaluate National Comprehensive Cancer Network (NCCN) guideline recommendations for oncology drug treatments that have been granted accelerated approval, and to determine whether recommendations are updated based on the results of confirmatory trials after approval and based on status updates from the US Food and Drug Administration (FDA). Design: Cross sectional study. Setting: US FDA and NCCN guidelines. Population: Oncology therapeutic indications (ie, specific oncological conditions for which the drug is recommended) that have been granted accelerated approval in 2009-18. Main outcome measures: NCCN guideline reporting of accelerated approval status and postapproval confirmatory trials, and guideline recommendation alignment with postapproval confirmatory trial results and FDA status updates. Results: 39 oncology drug treatments were granted accelerated approval for 62 oncological indications. Although all indications were recommended in NCCN guidelines, accelerated approval status was reported for 10 (16%) indications. At least one postapproval confirmatory trial was identified for all 62 indications, 33 (53%) of which confirmed benefit; among these indications, NCCN guidelines maintained the previous recommendation or strengthened the category of evidence for 27 (82%). Postapproval confirmatory trials failed to confirm benefit for 12 (19%) indications; among these indications, NCCN guidelines removed the previous recommendation or weakened the category of evidence for five (42%). NCCN guidelines reflected the FDA's decision to convert 30 (83%) of 36 indications from accelerated to traditional approval, of which 20 (67%) had guideline updates before the FDA's conversion decision. NCCN guidelines reflected the FDA's decision to withdraw seven (58%) of 12 indications from the market, of which four (57%) had guidelines updates before the FDA's withdrawal decision. Conclusions: NCCN guidelines always recommend drug treatments that have been granted accelerated approval for oncological indications, but do not provide information about their accelerated approval status, including surrogate endpoint use and status of postapproval confirmatory trials. NCCN guidelines consistently provide information on postapproval trial results confirming clinical benefit, but not on postapproval trials failing to confirm clinical benefit. NCCN guidelines more frequently update recommendation for indications converted to traditional approval than for those approvals that were withdrawn.

Associations Between Surrogate Markers and Clinical Outcomes for Nononcologic Chronic Disease Treatments.

Importance: Surrogate markers are increasingly used as primary end points in clinical trials supporting drug approvals. Objective: To systematically summarize the evidence from meta-analyses, systematic reviews and meta-analyses, and pooled analyses (hereafter, meta-analyses) of clinical trials examining the strength of association between treatment effects measured using surrogate markers and clinical outcomes in nononcologic chronic diseases. Data sources: The Food and Drug Administration (FDA) Adult Surrogate Endpoint Table and MEDLINE from inception to March 19, 2023. Study Selection: Three reviewers selected meta-analyses of clinical trials; meta-analyses of observational studies were excluded. Data Extraction and Synthesis: Two reviewers extracted correlation coefficients, coefficients of determination, slopes, effect estimates, or results from meta-regression analyses between surrogate markers and clinical outcomes. Main Outcomes and Measures: Correlation coefficient or coefficient of determination, when reported, was classified as high strength (r ≥ 0.85 or R2 ≥ 0.72); primary findings were otherwise summarized. Results: Thirty-seven surrogate markers listed in FDA's table and used as primary end points in clinical trials across 32 unique nononcologic chronic diseases were included. For 22 (59%) surrogate markers (21 chronic diseases), no eligible meta-analysis was identified. For 15 (41%) surrogate markers (14 chronic diseases), at least 1 meta-analysis was identified, 54 in total (median per surrogate marker, 2.5; IQR, 1.3-6.0); among these, median number of trials and patients meta-analyzed was 18.5 (IQR, 12.0-43.0) and 90 056 (IQR, 20 109-170 014), respectively. The 54 meta-analyses reported 109 unique surrogate marker-clinical outcome pairs: 59 (54%) reported at least 1 r or R2, 10 (17%) of which reported at least 1 classified as high strength, whereas 50 (46%) reported slopes, effect estimates, or results of meta-regression analyses only, 26 (52%) of which reported at least 1 statistically significant result. Conclusions and Relevance: Most surrogate markers used as primary end points in clinical trials to support FDA approval of drugs treating nononcologic chronic diseases lacked high-strength evidence of associations with clinical outcomes from published meta-analyses.

Published research on the human health implications of climate change between 2012 and 2021: cross sectional study.

Objective: To better understand the state of research on the effects of climate change on human health, including exposures, health conditions, populations, areas of the world studied, funding sources, and publication characteristics, with a focus on topics that are relevant for populations at risk. Design: Cross sectional study. Data sources: The National Institute of Environmental Health Sciences climate change and human health literature portal, a curated bibliographical database of global peer reviewed research and grey literature was searched. The database combines searches of multiple search engines including PubMed, Web of Science, and Google Scholar, and includes added-value expert tagging of climate change exposures and health impacts. Eligibility criteria: Inclusion criteria were peer reviewed, original research articles that investigated the health effects of climate change and were published in English from 2012 to 2021. After identification, a 10% random sample was selected to manually perform a detailed characterisation of research topics and publication information. Results: 10 325 original research articles were published between 2012 and 2021, and the number of articles increased by 23% annually. In a random sample of 1014 articles, several gaps were found in research topics that are particularly relevant to populations at risk, such as those in the global south (134 countries established through the United Nations Office for South-South Cooperation) (n=444; 43.8%), adults aged 65 years or older (n=195; 19.2%), and on topics related to human conflict and migration (n=25; 2.5%) and food and water quality and security (n=148; 14.6%). Additionally, fewer first authors were from the global south (n=349; 34.4%), which may partly explain why research focusing on these countries is disproportionally less. Conclusions: Although the body of research on the health effects of climate change has grown substantially over the past decade, including those with a focus on the global south, a disproportionate focus continues to be on countries in the global north and less at risk populations. Governments are the largest source of funding for such research, and governments, particularly in the global north, need to re-orient their climate and health research funding to support researchers in the global south and to be more inclusive of issues that are relevant to the global south.

Pivotal Trial Demographic Representation and Clinical Development Times for Oncology Therapeutics.

This study evaluates whether FDA-approved novel cancer therapeutics supported by pivotal trials with adequate representation of minoritized groups were associated with slower clinical development times than those with inadequate representation.

Use of Expedited Regulatory Programs and Clinical Development Times for FDA-Approved Novel Therapeutics.

This cross-sectional study evaluates the duration between application to US Food and Drug Administration (FDA) and approval for new drugs and biologics in the US from 2015 to 2022.

Availability of Unique Device Identifiers for Class I Medical Device Recalls From 2018 to 2022.

This cross-sectional study describes the inclusion of unique device identifier in recall notices for moderate- and high-risk medical devices in the US.

Characterization of US Food and Drug Administration Class I Recalls from 2018 to 2022 for Moderate- and High-Risk Medical Devices: A Cross-Sectional Study.

Background: Medical device recalls are initiated in response to safety concerns. Class I (highest severity) recalls imply a reasonable likelihood of serious adverse events or death associated with device use. Recalled devices must be identified, assessed, and corrected or removed, upon which a recall can be terminated. Objective: To characterize Class I medical device recalls and corresponding recalled devices. Methods: This was a cross-sectional study of Class I recalls posted on the Food and Drug Administration's annual log from January 1, 2018 to June 30, 2022 for moderate-risk and high-risk medical devices. Devices were categorized by therapeutic use, need for implantation, and life-sustaining designation; recalls were categorized by reason, status, and time elapsed. Results: There were 189 unique Class I medical device recalls, including 151 (79.9%) for moderate-risk and 34 (18.0%) for high-risk devices. Sixty-five (34.4%) recalls were for cardiovascular devices, 36 (19.0%) for implanted devices, and 37 (19.6%) for life-sustaining devices. The median number of device units recalled in the US per recall notice was 4620 (interquartile range [IQR], 578-42,591), with 11 (5.8%) recalls associated with more than 1 million device units. Overall, 125 (66.1%) devices had multiple recalls, with a median of 4 (IQR, 3-11) recalls issued per recalled device. As of September 15, 2022, 50 (26.5%) recalls were terminated, with a median of 24 (IQR, 17.3-30.8) months elapsed between recall initiation and termination. Recalls were terminated more commonly among devices recalled once compared to those recalled multiple times (36.2% vs 19.2%; p=0.02) and for recalls that recommended discontinuing further use of affected devices compared to those that recommended device assessment and/or education of affected population (31.8% vs 18.2%; p=0.04). Conclusion: High-severity medical device recalls are common and affect millions of device units annually in the US. Recall termination takes a significant amount of time, putting patients at risk for serious safety concerns.

Financial conflicts of interest among US physician authors of 2020 clinical practice guidelines: a cross-sectional study.

OBJECTIVE: To evaluate the prevalence and accuracy of industry-related financial conflict of interest (COI) disclosures among US physician guideline authors. DESIGN: Cross-sectional study. SETTING: Clinical practice guidelines published by the Council of Medical Specialty Societies in 2020. PARTICIPANTS: US physician guideline authors. MAIN OUTCOME MEASURES: Financial COI disclosures, both self-reported and determined using Open Payments data. RESULTS: Among 270 US physician authors of 20 clinical practice guidelines, 101 (37.4%) disclosed industry-related financial COIs, whereas 199 (73.7%) were found to have received payments from industry when accounting for payments disclosed through Open Payments. The median payments received by authors during the 3-year period was US$27 451 (IQR, US$1385-US$254 677). Comparing authors' self-disclosures with Open Payments, 72 (26.7%) of the authors accurately disclosed their financial COIs, including 68 (25.2%) accurately disclosing no financial COIs and 4 (1.5%) accurately disclosing a financial COI. In contrast, 101 (37.4%) disclosed no financial COIs and were found to have received payments from industry, 23 (8.5%) disclosed a financial COI but had under-reported payments received from industry, 14 (5.2%) disclosed a financial COI but had over-reported payments received from industry and 60 (22.2%) disclosed a financial COI but were found to have both under-reported and over-reported payments received from industry. We found that inaccurate COI disclosure was more frequent among professors compared with non-professors (81.9% vs 63.5%; p<0.001) and among males compared with females (77.7% vs 64.8%; p=0.02). The accuracy of disclosures also varied among medical professional societies (p<0.001). CONCLUSIONS: Financial relationships with industry are common among US physician authors of clinical practice guidelines and are often not accurately disclosed. To ensure high-quality guidelines and unbiased recommendations, more effort is needed to minimise existing COIs and improve disclosure accuracy among panel members.

eHealth technologies assisting in identifying potential adverse interactions with complementary and alternative medicine (CAM) or standalone CAM adverse events or side effects: a scoping review.

BACKGROUND: While there are several existing eHealth technologies for drug-drug interactions and stand-alone drug adverse effects, it appears that considerably less attention is focussed on that of complementary and alternative medicine (CAM). Despite poor knowledge of their potential interactions and side effects, many patients use CAM. This justifies the need to identify what eHealth technologies are assisting in identifying potential 1) adverse drug interactions with CAM, 2) adverse CAM-CAM interactions or 3) standalone CAM adverse events or side effects. METHODS: A scoping review was conducted to identify eHealth technologies assisting in identifying potential adverse interactions with CAM or standalone CAM adverse events or side effects, following Arksey and O'Malley's five-stage scoping review framework. MEDLINE, EMBASE, and AMED databases and the Canadian Agency for Drugs and Technologies in Health website were systematically searched. Eligible articles had to have assessed or referenced an eHealth technology assisting in identifying potential one or more of the three aforementioned items. We placed no eligibility restrictions on type of eHealth technology. RESULTS: Searches identified 3467 items, of which 2763 were unique, and 2674 titles and abstracts were eliminated, leaving 89 full-text articles to be considered. Of those, 48 were not eligible, leaving a total of 41 articles eligible for review. From these 41 articles, 69 unique eHealth technologies meeting our eligibility criteria were identified. Themes which emerged from our analysis included the following: the lack of recent reviews of CAM-related healthcare information; a large number of databases; and the presence of government adverse drug/event surveillance. CONCLUSIONS: The present scoping review is the first, to our knowledge, to provide a descriptive map of the literature and eHealth technologies relating to our research question. We highlight that while an ample number of resources are available to healthcare providers, researchers, and patients, we caution that the quality and update frequency for many of these resources vary widely, and until formally assessed, remain unknown. We identify that a need exists to conduct an updated and systematically-searched review of CAM-related healthcare or research resources, as well as develop guidance documents associated with the development and evaluation of CAM-related eHealth technologies.