The evolving regulatory system of advanced therapy medicinal products in China: a documentary analysis using the World Health Organization Global Benchmarking Tool standards.

Advanced therapy medicinal products (ATMPs) are rapidly evolving to offer new treatment options. The scientific, technical, and clinical complexities subject drug regulatory authorizes to regulatory challenges. To advance the regulatory capacity for ATMPs, the National Medical Products Administration in China made changes to the drug regulatory system and developed regulatory science with the goal of addressing patient needs and encouraging innovation. This study aimed to systematically identify the regulatory evidence on ATMPs in China under the guidance of an overarching framework from the World Health Organization Global Benchmarking Tool. It was found that China's administrative authorities at all levels have issued a number of policy documents to promote the development of ATMPs, covering biopharmaceutical products research and development (n = 14), biopharmaceutical industry development (n = 9), high-quality development of medical institutions (n = 1), specific development plans/projects (n = 6) and specific regional development (n = 4). The legal and regulatory framework of ATMPs in China has been established and is subject to continuous adjustment in various aspects including regulations (n = 3), departmental rules or administrative normative documents (n = 22), and technical guidance (n = 15). As the regulatory reform continues, the drug review processes have been revised, and various technical standards have been launched, which aim to establish a regulatory approach that oversees the full life-cycle development of ATMPs in the country. The limited number of investigational new drug applications and approved ATMPs suggests a lag remains between the translation of advanced therapeutic technologies into clinically available medical products. To accelerate the translational research of ATMP in countries such as China, developing and adopting real-world evidence generated from clinical use in designated healthcare facilities to support scientific decision-making in ATMP regulation is warranted. The enhancement of regulatory capacity building and multi-stakeholder collaborations should also be encouraged to facilitate the timely evaluation of promising ATMPs to meet more patient needs.

Initial interactions with the FDA on developing a validation dataset as a medical device development tool.

Quantifying tumor-infiltrating lymphocytes (TILs) in breast cancer tumors is a challenging task for pathologists. With the advent of whole slide imaging that digitizes glass slides, it is possible to apply computational models to quantify TILs for pathologists. Development of computational models requires significant time, expertise, consensus, and investment. To reduce this burden, we are preparing a dataset for developers to validate their models and a proposal to the Medical Device Development Tool (MDDT) program in the Center for Devices and Radiological Health of the U.S. Food and Drug Administration (FDA). If the FDA qualifies the dataset for its submitted context of use, model developers can use it in a regulatory submission within the qualified context of use without additional documentation. Our dataset aims at reducing the regulatory burden placed on developers of models that estimate the density of TILs and will allow head-to-head comparison of multiple computational models on the same data. In this paper, we discuss the MDDT preparation and submission process, including the feedback we received from our initial interactions with the FDA and propose how a qualified MDDT validation dataset could be a mechanism for open, fair, and consistent measures of computational model performance. Our experiences will help the community understand what the FDA considers relevant and appropriate (from the perspective of the submitter), at the early stages of the MDDT submission process, for validating stromal TIL density estimation models and other potential computational models. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.

A randomized controlled trial of potential tobacco policies prohibiting menthol flavor in cigarettes and e-cigarettes: a study protocol.

BACKGROUND: Menthol cigarette use remains a large public health problem and disproportionately affects Black adults in the United States. The Food and Drug Administration has proposed prohibiting menthol flavor in cigarettes to protect public health. However, e-cigarettes are available in menthol flavor and are a popular alternative product adults might switch to if menthol is prohibited in cigarettes. Research is needed to understand how availability of menthol (vs. tobacco) flavored e-cigarettes could impact cigarette use among adults who smoke menthol cigarettes. METHODS: We will recruit 150 adults who currently smoke menthol cigarettes and will randomize them to 1 of 3 conditions modeling different regulatory scenarios. We will recruit equal numbers of participants identifying as Black vs. non-Black and will stratify randomization by race. To promote standardization and adherence, cigarette and e-cigarette products will be provided for 8 weeks based on the assigned condition: (A) no menthol restriction (menthol cigarette and menthol flavored e-cigarette), (B) menthol prohibited in cigarettes only (non-menthol cigarette and menthol flavored e-cigarette), (C) menthol prohibited in both cigarettes and e-cigarettes (non-menthol cigarette and tobacco flavored e-cigarette). A follow-up visit will occur at week 12 to assess tobacco use status. The study aims are to (1) examine the impact of prohibiting menthol flavor in cigarettes and e-cigarettes on smoking behavior and (2) investigate whether outcomes differ by race to understand the impact of menthol policies on Black (vs. non-Black) individuals given high rates of menthol cigarette use in this population. The primary outcome will evaluate changes in the number of cigarettes smoked per day during the 8-week study period and will examine differences by regulatory scenario. Secondary outcomes will compare percent days smoke-free, changes in nicotine dependence, and motivation, confidence, and intentions to quit smoking by the regulatory scenarios. We will examine whether changes in the outcomes differ by Black vs. non-Black participants to compare the magnitude of the effect of the various menthol policy scenarios by race. DISCUSSION: Results will contribute critical information regarding menthol in cigarettes and e-cigarettes to inform regulatory policies that maximize reductions in cigarette smoking and reduce tobacco-related health disparities. TRIAL REGISTRATION: NCT05259566. Yale IRB protocol #2000032211, last approved 12/8/2023.

The Scientific Basis for the Regulation of Flavors in Tobacco Products.

Effective tobacco policies are important for reducing the harm of tobacco use and can have a broad impact at the population level. This review provides an overview of how clinical science can inform tobacco policies with a focus on policies related to flavored tobacco products, using menthol cigarettes as an illustrative example. Specifically, this review summarizes the role of flavors in tobacco use and the history of regulation of flavored tobacco products by the US Food and Drug Administration (FDA), provides an overview of clinical research methods used to contribute to the scientific evidence to inform FDA tobacco policies, discusses key findings related to menthol tobacco products using these methods, and proposes future directions for clinical research. As the tobacco marketplace continues to evolve with new products and flavor chemicals, ongoing clinical science will be essential for establishing evidence-based policies to protect public health and reduce tobacco-related health disparities.

The current status of the biosimilars landscape in China.

Biosimilars have played a significant role in alleviating healthcare burdens and enhancing patient access to high-quality biologic-based pharmaceutical therapies. The World Health Organization (WHO), as well as various national governments and regulatory agencies, have established corresponding regulations and guidelines to encourage the development of biosimilars. China, as a populous nation with a substantial demand for biologic therapies, has made substantial investments in the research and development (R&D) of a number of biosimilars, making it the global leader in terms of the number of biosimilar varieties developed and the companies involved. This article summarizes the landscape of biosimilar R&D and registration in China, the development of regulatory science for biosimilars (including guidelines) in China, the challenges faced in biosimilar development in China, and a discussion of and suggestions for tailoring or even waiving comparative clinical efficacy studies.

A framework enabling LLMs into regulatory environment for transparency and trustworthiness and its application to drug labeling document.

Regulatory agencies consistently deal with extensive document reviews, ranging from product submissions to both internal and external communications. Large Language Models (LLMs) like ChatGPT can be invaluable tools for these tasks, however present several challenges, particularly the proprietary information, combining customized function with specific review needs, and transparency and explainability of the model's output. Hence, a localized and customized solution is imperative. To tackle these challenges, we formulated a framework named askFDALabel on FDA drug labeling documents that is a crucial resource in the FDA drug review process. AskFDALabel operates within a secure IT environment and comprises two key modules: a semantic search and a Q&A/text-generation module. The Module S built on word embeddings to enable comprehensive semantic queries within labeling documents. The Module T utilizes a tuned LLM to generate responses based on references from Module S. As the result, our framework enabled small LLMs to perform comparably to ChatGPT with as a computationally inexpensive solution for regulatory application. To conclude, through AskFDALabel, we have showcased a pathway that harnesses LLMs to support agency operations within a secure environment, offering tailored functions for the needs of regulatory research.

Determining recommended acceptable intake limits for N-nitrosamine impurities in pharmaceuticals: Development and application of the Carcinogenic Potency Categorization Approach (CPCA).

N-Nitrosamine impurities, including nitrosamine drug substance-related impurities (NDSRIs), have challenged pharmaceutical industry and regulators alike and affected the global drug supply over the past 5 years. Nitrosamines are a class of known carcinogens, but NDSRIs have posed additional challenges as many lack empirical data to establish acceptable intake (AI) limits. Read-across analysis from surrogates has been used to identify AI limits in some cases; however, this approach is limited by the availability of robustly-tested surrogates matching the structural features of NDSRIs, which usually contain a diverse array of functional groups. Furthermore, the absence of a surrogate has resulted in conservative AI limits in some cases, posing practical challenges for impurity control. Therefore, a new framework for determining recommended AI limits was urgently needed. Here, the Carcinogenic Potency Categorization Approach (CPCA) and its supporting scientific rationale are presented. The CPCA is a rapidly-applied structure-activity relationship-based method that assigns a nitrosamine to 1 of 5 categories, each with a corresponding AI limit, reflecting predicted carcinogenic potency. The CPCA considers the number and distribution of α-hydrogens at the N-nitroso center and other activating and deactivating structural features of a nitrosamine that affect the α-hydroxylation metabolic activation pathway of carcinogenesis. The CPCA has been adopted internationally by several drug regulatory authorities as a simplified approach and a starting point to determine recommended AI limits for nitrosamines without the need for compound-specific empirical data.

Using a Mock Circulatory Loop as a Regulatory Science Tool to Simulate Different Heart Failure Conditions.

Mechanical circulatory support (MCS) device therapy is one of the primary treatment options for end-stage heart failure (HF), whereby a mechanical pump is integrated with the failing heart to maintain adequate tissue perfusion. The ISO 14708-5:2020 standard prescribes generic guidelines for nonclinical device evaluation and system performance testing of MCS devices using a mock circulatory loop (MCL). However, the utility of MCLs in premarket regulatory submissions of MCS devices is ambiguous, and the specific disease states that the device is intended to treat are not usually simulated. Hence, we aim to outline the potential of MCLs as a valuable regulatory science tool for characterizing MCS device systems by adequately representing target clinical-use HF conditions on the bench. Target pathophysiologic hemodynamics of HF conditions (i.e., cardiogenic shock (CS), left ventricular (LV) hypertrophy secondary to hypertension, and coronary artery disease), along with a healthy adult at rest and a healthy adult during exercise are provided as recommended test conditions. The conditions are characterized based on LV, aorta, and left atrium pressures using recommended cardiac hemodynamic indices such as systolic, diastolic, and mean arterial pressure, mean cardiac output (CO), cardiac cycle time, and systemic vascular resistance. This study is a first step toward standardizing MCLs to generate well-defined target HF conditions used to evaluate MCS devices.

Importance of Various E-Cigarette Device and E-Liquid Characteristics by Smoking Status among Young Adults Who Vape.

BACKGROUND: E-cigarette product characteristics are known to influence appeal among young adults. Understanding which characteristics appeal to individuals with (vs. without) a history of combusted tobacco use is essential for developing effective tobacco control policies. METHODS: Anonymous, self-report data were collected from young adults (18-30 years) who had used e-cigarettes in the past 30 days (n = 295) online via Prolific from September-October 2019. Using a visual analogue scale (range: 0-100), participants rated the importance of ten e-cigarette device and nine e-liquid characteristics. Adjusted linear regression models were used to evaluate the association of combusted tobacco use status (never, former, current) with mean rating scores for each of the nineteen characteristics. RESULTS: The most important e-cigarette device characteristics were price (Mean = 81.1; [SD = 17.9]), size (Mean = 75.5 [SD = 20.9]), and hit strength (Mean = 73.8 [SD = 20.4]) while the most important e-liquid characteristics were flavor (M = 85.1 [SD = 16.3]), price (M = 80.9 [SD = 18.4]), and nicotine level (M = 77.8 [18.9]). Differences by combusted tobacco use status were observed for device brand, temperature/voltage, customizability, color, and popularity, with the highest ratings generally observed among those concurrently using combustible tobacco products. For e-liquids, differences by use status were observed for flavor, price, and bottle type. Notably, those concurrently using combusted products rated flavor as less important than those with no history of combustible tobacco use (B=-5.01[95%CI=-9.97, -0.05]). CONCLUSIONS: The self-rated importance of e-cigarette device and e-liquid attributes varies by combustible tobacco use status among young adults which may be used to inform regulatory decisions regarding e-cigarette product characteristics.

[New drug discovery and prospect of small nucleic acids derived from traditional Chinese medicine and natural medicine].

Small nucleic acid drugs mainly include small interfering RNA(siRNA), antisense oligonucleotide(ASO), microRNA(miRNA), messenger RNA(mRNA), nucleic acid aptamer(aptamer), and so on. Its translation or regulation can be inhibited by binding to the RNA of the target molecule. Due to its strong specificity, persistence, and curability, small nucleic acid drugs have received considerable attention in recent years. Recent studies have shown that some miRNAs from animal and plant sources can stably exist in the blood, tissue, and organs of animals and human beings and exert pharmacological action by regulating the expression of various target proteins. This paper summarized the discovery of small nucleic acids derived from traditional Chinese medicine(TCM) and natural drugs and their cross-border regulatory mechanisms and discussed the technical challenges and regulatory issues brought by this new drug, which can provide new ideas and methods for explaining the complex mechanism of TCM, developing new drugs of small nucleic acids from TCM and natural medicine, and conducting regulatory scientific research.

[Discussion on reference sample research of traditional Chinese medicine compound preparations developed from catalogued ancient classical prescriptions].

The concept of reference sample was put forward in the Guidance on CMC of Traditional Chinese Medicine Compound Preparations Developed from Catalogued Ancient Classical Prescriptions(Interim). The research on reference sample is a key link in the research and development of traditional Chinese medicine(TCM) compound prescriptions from catalogued ancient classical prescriptions(known as Category 3.1 TCM). This paper discusses the content of research on reference sample by analyzing the characteristics of Category 3.1 TCM and the purpose of research on reference sample. Furthermore, suggestions on the research of reference sample are proposed according to the development and evaluation practice of Category 3.1 TCM and research achievements of TCM regulatory science, aiming to provide reference for colleagues in this industry.

Consortium-based approach to receiving an EMA qualification opinion on the use of islet autoantibodies as enrichment biomarkers in type 1 diabetes clinical studies.

The development of medical products that can delay or prevent progression to stage 3 type 1 diabetes faces many challenges. Of note, optimising patient selection for type 1 diabetes prevention clinical trials is hindered by significant patient heterogeneity and a lack of characterisation of the time-varying probability of progression to stage 3 type 1 diabetes in individuals positive for two or more islet autoantibodies. To meet these needs, the Critical Path Institute's Type 1 Diabetes Consortium was launched in 2017 as a pre-competitive public-private partnership between stakeholders from the pharmaceutical industry, patient advocacy groups, philanthropic organisations, clinical researchers, the National Institutes of Health and the Food and Drug Administration. The Type 1 Diabetes Consortium acquired and aggregated data from three longitudinal observational studies, Environmental Determinants of Diabetes in the Young (TEDDY), Diabetes Autoimmunity Study in the Young (DAISY) and TrialNet Pathway to Prevention (TN01), and used analysis subsets of these data to support the model-based qualification of islet autoantibodies as enrichment biomarkers for patient selection in type 1 diabetes prevention trials, including registration studies. The Type 1 Diabetes Consortium has now received a qualification opinion from the European Medicines Agency for the use of these biomarkers, a major success for the field of type 1 diabetes. This endorsement will improve product developers' ability to design clinical trials of agents intended to prevent or delay type 1 diabetes that are reduced in size and/or length, while being adequately powered.

Patient Understanding of Oncology Clinical Trial Endpoints in Direct-to-Consumer Television Advertising.

BACKGROUND: This study examined how people interpret overall survival (OS), overall response rate (ORR), and progression-free survival (PFS) endpoints in the context of direct-to-consumer television ads. Although there is little research on this topic, initial evidence suggests that people can misinterpret these endpoints. We hypothesized that understanding of ORR and PFS would be improved by adding a disclosure ("We currently do not know if [Drug] helps patients live longer") to ORR and PFS claims. METHODS: We conducted 2 online studies with US adults examining television ads for fictional prescription drugs indicated to treat lung cancer (N = 385) or multiple myeloma (N = 406). The ads included claims about OS, ORR with and without a disclosure, or PFS with and without a disclosure. In each experiment, we randomized participants to view 1 of 5 versions of a television ad. After viewing the ad twice, participants completed a questionnaire that measured understanding, perceptions, and other outcomes. RESULTS: In both studies, participants correctly differentiated between OS, ORR, and PFS via open-ended responses; however, participants in the PFS conditions (versus ORR conditions) were more likely to make incorrect inferences about OS. Supporting the hypothesis, adding a disclosure made expectations around living longer and quality-of-life improvements more accurate. CONCLUSION: Disclosures could help reduce the extent to which people misinterpret endpoints like ORR and PFS. More research is needed to establish best-practice recommendations for using disclosures to improve patient understanding of drug efficacy without changing their perception of the drug in unintended ways.

Preclinical efficacy in investigator's brochures: Stakeholders' views on measures to improve completeness and robustness.

AIMS: Research ethics committees and regulatory agencies assess whether the benefits of a proposed early-stage clinical trial outweigh the risks based on preclinical studies reported in investigator's brochures (IBs). Recent studies have indicated that the reporting of preclinical evidence presented in IBs does not enable proper risk-benefit assessment. We interviewed different stakeholders (regulators, research ethics committee members, preclinical and clinical researchers, ethicists, and metaresearchers) about their views on measures to increase the completeness and robustness of preclinical evidence reporting in IBs. METHODS: This study was preregistered (https://osf.io/nvzwy/). We used purposive sampling and invited stakeholders to participate in an online semistructured interview between March and June 2021. Themes were derived using inductive content analysis. We used a strengths, weaknesses, opportunities and threats matrix to categorize our findings. RESULTS: Twenty-seven international stakeholders participated. The interviewees pointed to several strengths and opportunities to improve completeness and robustness, mainly more transparent and systematic justifications for the included studies. However, weaknesses and threats were mentioned that could undermine efforts to enable a more thorough assessment: The interviewees stressed that current review practices are sufficient to ensure the safe conduct of first-in-human trials. They feared that changes to the IB structure or review process could overburden stakeholders and slow drug development. CONCLUSION: In principle, more robust decision-making processes align with the interests of all stakeholders and with many current initiatives to increase the translatability of preclinical research and limit uninformative or ill-justified trials early in the development process. Further research should investigate measures that could be implemented to benefit all stakeholders.

Diagnostic quality model (DQM): an integrated framework for the assessment of diagnostic quality when using AI/ML.

BACKGROUND: Laboratory medicine has reached the era where promises of artificial intelligence and machine learning (AI/ML) seem palpable. Currently, the primary responsibility for risk-benefit assessment in clinical practice resides with the medical director. Unfortunately, there is no tool or concept that enables diagnostic quality assessment for the various potential AI/ML applications. Specifically, we noted that an operational definition of laboratory diagnostic quality - for the specific purpose of assessing AI/ML improvements - is currently missing. METHODS: A session at the 3rd Strategic Conference of the European Federation of Laboratory Medicine in 2022 on "AI in the Laboratory of the Future" prompted an expert roundtable discussion. Here we present a conceptual diagnostic quality framework for the specific purpose of assessing AI/ML implementations. RESULTS: The presented framework is termed diagnostic quality model (DQM) and distinguishes AI/ML improvements at the test, procedure, laboratory, or healthcare ecosystem level. The operational definition illustrates the nested relationship among these levels. The model can help to define relevant objectives for implementation and how levels come together to form coherent diagnostics. The affected levels are referred to as scope and we provide a rubric to quantify AI/ML improvements while complying with existing, mandated regulatory standards. We present 4 relevant clinical scenarios including multi-modal diagnostics and compare the model to existing quality management systems. CONCLUSIONS: A diagnostic quality model is essential to navigate the complexities of clinical AI/ML implementations. The presented diagnostic quality framework can help to specify and communicate the key implications of AI/ML solutions in laboratory diagnostics.

The Role of Cigarillo Flavor in the Co-Use of Cigarillos and Cannabis among Young Adults.

Background: Research suggests flavor facilitates cigarillo use, but it is unknown if flavor impacts patterns of co-use of cigarillos and cannabis ("co-use"), which is common among young adult smokers. This study's aim was to determine the role of the cigarillo flavor in co-use among young adults. Methods: Data were collected (2020-2021) in a cross-sectional online survey administered to young adults who smoked ≥2 cigarillos/week (N = 361), recruited from 15 urban areas in the United States. A structural equation model was used to assess the relationship between flavored cigarillo use and past 30-day cannabis use (flavored cigarillo perceived appeal and harm as parallel mediators), including several social-contextual covariates (e.g., flavor and cannabis policies). Results: Most participants reported usually using flavored cigarillos (81.8%) and cannabis use in the past 30 days ("co-use") (64.1%). Flavored cigarillo use was not directly associated with co-use (p = 0.90). Perceived cigarillo harm (ß = 0.18, 95% CI = 0.06, 0.29), number of tobacco users in the household (ß = 0.22, 95% CI = 0.10, 0.33), and past 30-day use of other tobacco products (ß = 0.23, 95% CI = 0.15, 0.32) were significantly positively associated with co-use. Living in an area with a ban on flavored cigarillos was significantly negatively associated with co-use (ß = -0.12, 95% CI = -0.21, -0.02). Conclusions: Use of flavored cigarillos was not associated with co-use; however, exposure to a flavored cigarillo ban was negatively associated with co-use. Cigar product flavor bans may reduce co-use among young adults or have a neutral impact. Further research is needed to explore the interaction between tobacco and cannabis policy and use of these products.

Balancing Intelectual Property Protection and Legal Risk Assessment in Registration of Covid-19 Vaccines in Malaysia.

The seriousness of the COVID-19 pandemic requires a look into the implementation of drug registration rules for COVID-19 vaccines. Amidst the surrounding exigencies, vaccines being a biological product, require comprehensive and continuing pre and post registration rules to ensure their safety and efficacy. The study focuses on Malaysia which has rules on drug registration that have been successfully applied to vaccines. The study shows that the rules have been tailor-made to emergency situations. At the moment, special rules have been introduced including to allow use of COVID-19 vaccines as unregistered product. Recognition of COVID-19 Vaccines Global Access (COVAX) facility and requirement for government sale only, are among the safety valves. The study shows that these however are temporary measures against the backdrops of possible entry of private players in the vaccination process. Therefore, regulatory responses to intellectual property (IP) related conditions underlying drug registration, and measures to ensure risk management involved in vaccine production, approval and administration are needed in the progressive rules pending further development of research in the area.

[Introduction and Reflection on Novel Medical Device Regulatory Science Tool MDDT].

In recent years, emerging technology medical devices have developed rapidly. How to more scientifically and more efficiently regulate these novel medical devices so as to improve access to advanced medical technology while ensuring safety and effectiveness is a new challenge faced by regulatory authorities, and is also the core topic of regulatory science. New tools, new standards and new methods are important means to achieve regulatory science. "Medical Device Development Tool" proposed by the U.S. FDA is a novel medical device regulatory science tool, which can help medical device developers to predict and evaluate product performance more efficiently. It is also helpful for regulatory authorities to make regulatory decisions more efficiently. This study introduces the concept, qualification process, role of MDDT in medical device regulation and MDDT examples, and makes some discussion on the device evaluation from the perspective of reliability and validity. MDDT can facilitate the developing of novel medical device.

Physician Perceptions of the FDA's Breakthrough Therapy Designation: An Update.

The US Food and Drug Administration developed the Breakthrough Therapy designation to expedite the development and review of drugs that show a clear advantage over available therapy for serious conditions. Prior research has shown that physicians tend to misunderstand that a drug may receive a Breakthrough Therapy designation based on preliminary clinical evidence (eg, effect on a surrogate endpoint or intermediate clinical endpoint that is likely to predict clinical benefit). The objective of this article is to examine whether physicians' familiarity with and interpretation of the Breakthrough Therapy designation have changed since a survey on the topic was published in 2016. We replicated three of the questions in that study and explored beliefs that a Breakthrough Therapy designation automatically qualifies a drug for accelerated approval. We also draw comparisons by specialization (oncologists vs. primary care physicians). In general, physicians remain more likely than not to misunderstand the Breakthrough Therapy designation.

A review of research on cigarette smoking in Preventive Medicine in recognition of the journal's 50th anniversary.

This report reviews the literature on cigarette smoking published in Preventive Medicine over the past 50 years. The goal is twofold. First, to acknowledge the 50th anniversary of Preventive Medicine and its role in disseminating research on cigarette smoking by providing an abridged summary of smoking research published in the journal from inception through June 23, 2022. Second, to review experimental reports to identify contributions to innovations in tobacco control and regulatory efforts to reduce cigarette smoking. We searched PubMed using the search terms cigarette/cigarettes, tobacco products, smoking, smoking cessation, Preventive Medicine. Titles and abstracts were reviewed in duplicate, excluding reports not addressing cigarette smoking. Included reports were categorized by study type (original study, commentary, review). Experimental articles were assessed for impact using iCite, a National Institutes of Health web application that provides bibliometric information for articles in defined topic areas. The review identified 1181 articles on cigarette smoking: 1018 original studies (86.2%), 107 literature reviews (9.1%), and 56 commentaries (4.7%); 166 of the 1018 original studies (16%) were experimental reports. In the iCite analysis these 166 experimental articles received 6366 total citations, a mean (standard error) citation rate/article of 38.35 (±3.21) and mean relative citation ratio of 1.85 (±0.17) which is at the 73rd percentile for NIH-funded field- and time-normalized reports. Overall, this review demonstrates an ongoing and impactful contribution of Preventive Medicine to efforts to reduce cigarette smoking, the most preventable cause of premature death.