Anesthesiology Clinical Trial Networks in the United States: A Report from the Anesthesia Research Council
Notice bibliographique
Résumé
The Need for Large-scale Patient-centered Outcomes Research in Anesthesiology Patient-centered outcomes research aims to generate knowledge to improve outcomes that are meaningful, valuable, and helpful to patients and their families.1 For research comparing 2 or more treatment alternatives, this is often best achieved through the conduct of large-scale multicenter clinical trials. This approach provides a more accurate estimate of treatment effects than observational studies due to the use of randomization, allows for sufficient power when sample sizes are sufficiently large to detect small but clinically meaningful differences between treatment groups and effects in smaller subpopulations that may be more likely to benefit, and can create generalizable evidence when trials enroll diverse populations recruited from different care settings and environments. In addition to the potential benefit for patients, high-quality clinical research engages and educates clinicians in impactful science and contributes to the learning and professional development within the medical specialty overall. Within the United States, there is a significant need to establish high-functioning clinical research networks that facilitate the design, performance, and completion of such trials. In 2016, the American Society of Anesthesiologists (ASA), the International Anesthesia Research Society (IARS), and the Foundation for Anesthesia Education and Research (FAER) created the Anesthesia Research Council (ARC).1 The ARC’s mission is to provide “independent, trustworthy synthesis and advice to address complex challenges by mobilizing expertise, practice, and knowledge in science, engineering, and medicine.”2 The present report represents the work of the ARC Year 2 Working Group. This group was charged with: (1) summarizing the current state and future prospects of collaborative patient-centered outcomes research in anesthesiology in the United States; (2) identifying facilitators and barriers to establishing 1 or more collaborative, U.S.-based patient-centered outcomes research networks in anesthesiology; and (3) recommending specific actions that key stakeholders should undertake to transform the landscape of patient-centered outcomes research in anesthesiology in the United States over the next 5 to 10 years. Existing Clinical Trial Networks and Resources in Anesthesiology In working group discussions, we identified current U.S. and international patient-centered outcomes research networks in anesthesiology and other medical specialties that could serve as models for future U.S.-based anesthesia multicenter research networks. We then conducted informal interviews with leaders of these organizations and drew on the experiences of working group members within these organizations to learn more about the successes and challenges within these trial network groups. Interview notes were shared and discussed in working group meetings to identify barriers and facilitators to trial network function and operations, and generate potential recommendations. While the working group considered multiple networks within and outside of anesthesiology, here we focus on 3 established anesthesia trial networks and 1 quality improvement collaborative that has built the infrastructure to support trials within the United States. Australian and New Zealand College of Anaesthetists Clinical Trials Network, Australia and New Zealand The Australian and New Zealand College of Anaesthetists (ANZCA) is the specialist medical college accredited to train anesthesiologists and support their continuing professional development. In 2003, after the successful collaborations of the Multicentre Australian Study of Epidural Anaesthesia (MASTER)3 and the Bispectral index monitoring to prevent awareness during anesthesia (B-Aware)4 Trial, investigators and the College established the ANZCA Clinical Trials Network (CTN). ANZCA CTN now has more than 70 participating sites across Australia and New Zealand. This CTN offers pilot grants and programs to support emerging researchers and maintains staff to support CTN operations, CTN-endorsed trials, and the network of ANZCA sites, investigators, and research coordinators. Strengths of the CTN include that it is embedded within ANZCA—with the college providing administrative support (ie, event planning, communications) as well as ongoing financial support. This ensures some sustainability and a high degree of ownership and pride among the Australian and New Zealand anesthesia research community. The network has grown to be a world leader in clinical trial methodology and delivery, completing numerous, large, international, multicenter trials within budget, at over 130 sites worldwide.5–7 Perioperative Anesthesia Clinical Trials (PACT), Canada Within Canada, investigator-initiated studies led by academic centers (eg, PeriOperative ISchemic Evaluation [POISE-1] trial,8 PeriOperative ISchemic Evaluation-2 [POISE-2] trial,9,10 PeriOperative ISchemic Evaluation-3 [POISE-3] trial,11 Blood Conservation Using Antifibrinolytics in a Randomized Trial [BART] trial,12 Measurement of Exercise Tolerance before Surgery [METS] cohort study,13 and Functional Improvement Trajectories After Surgery [FIT After Surgery] cohort study14) have helped build informal networks, and in 2010, the Perioperative Anesthesia Clinical Trials (PACT) Group was established as a formal collaborative network for multicenter studies in anesthesiology and perioperative medicine with support from the Association of Canadian University Departments of Anesthesiology (ACUDA).15 PACT serves as a forum to foster collegial collaboration, refine study designs and grant proposals, identify partners for multicenter collaborations, and deliver educational content for researchers. Since its inception, the PACT group has steadily grown in membership, meeting attendance, and research success (as measured by publications and grants),16 and has mentored and supported a new generation of physician-scientists within the Canadian anesthesiology community. The formal and informal mentorship provided by the group, along with opportunities to extend collaborative networks, has allowed early-career and midcareer investigators across different academic centers to achieve success in highly competitive peer-reviewed funding competitions. Outcomes Research Consortium, Worldwide The Outcomes Research Consortium is an academic research organization consisting of over 200 investigators at 50 different institutions in 25 countries across the world, headquartered now at the University of Texas, Houston.17 Since its inception in 1990, the Consortium has published more than 2000 scientific papers and editorials, and has been involved in numerous clinical studies, including large international multicenter perioperative outcome trials.18,19 The administrative hub provides protocol design review; project management, including investigator and site identification, site monitoring, and help with regulatory documentation; and biostatistics and data management services. Members are expected to actively collaborate (which is the only criteria for membership) and help complete studies. While members of the Consortium have successfully competed for federal funding, many studies have been sponsored by industry partnerships, which have provided a sustainable source of support for research activities. Multicenter Perioperative Outcomes Group (MPOG), United States The Multicenter Perioperative Outcomes Group (MPOG) is a collaborative of medical centers/hospitals, physicians, nurses, software developers, data scientists, statisticians, researchers, and administrators focused on promoting safe and evidence-based perioperative care through collaboration, research, education, and quality improvement. MPOG maintains a growing registry of over 23 million cases combining preoperative, intraoperative and postoperative outcome data contributed by over 70 participating hospitals. Primarily, MPOG data has contributed to observational studies.20,21 Now, MPOG has transitioned to also enable large, multicenter, pragmatic clinical trials given the robust electronic health record data collection platform and collaborative relationships. MPOG is now serving as the Data Coordinating Center for 3 distinct prospective clinical trials: Trajectories of Recovery after Intravenous Propofol versus inhaled VolatilE anesthesia (THRIVE),22 a Patient-Centered Outcomes Research Institute (PCORI)-funded pragmatic clinical trial of 12,500 patients across approximately 20 U.S. hospitals (NCT05991453), an Agency for Health care Research and Quality’s (AHRQ) funded cluster-randomized trial of precision feedback to anesthesia clinicians to improve clinical quality measurement performance (NCT05923463), and a multicenter cluster-randomized cluster-crossover trial of different intraoperative oxygenation strategies (IntraopOx) funded through the Initiative for Multicenter Pragmatic Anesthesiology Clinical Trials (IMPACT) award instrument. Lessons Learned and Potential Threats to a Successful U.S. Anesthesia Clinical Trials Network Several key factors to success emerged from examining existing trial networks and from discussions within the working group. Successful networks must (1) generate interest among stakeholders, (2) impact the field, (3) maximize efficiency, (4) create a culture of accountability, and (5) plan for growth. Networks can generate interest among a variety of stakeholders by targeting clinically important outcomes, testing compelling interventions, and producing generalizable evidence. Several nonanesthesia networks in the United States were started in partnership with funding agencies, which allowed these networks to begin with administrative support, a clear directive, accountability to a funding agency, and seed money for trials. Achieving early successes engenders and propagates buy-in from funders, and achieving early success should be considered when selecting initial studies to serve as demonstration projects or when selecting sites for participation. Buy-in from both academic and community clinicians is critical, as clinicians are responsible for patient recruitment and study implementation and are the “end-users” of research results; individual clinicians having a sense of ownership over the research and being motivated to contribute to research efforts was highlighted as a major facilitator to completing studies in the ANZCA CTN. Professional societies can also play an important role in supporting a burgeoning research network, as they have in Australia and Canada. Established national organizations are well-suited to provide organizational and administrative support; additionally, societies communicate regularly with member clinicians, and their support serves to publicize and endorse a network’s efforts. Completing impactful studies demonstrates success. Scientific impact is generated by answering clinically important practice-changing questions through the completion of well-powered trials and the publication of results in high-impact journals. However, networks also have specifically focused on mentoring early-career investigators to broaden their impact on future research and the specialty. Lastly, to maximize generalizability of research, attention must be paid to participant and site (eg, community practices) diversity and to the incorporation of implementation science that better facilitates the translation of the generated knowledge into clinical practice. Efficiency is a critical attribute for the success of a burgeoning trial network, as the efficient use of resources reduces incremental effort and financial requirements. While the United States lacks a formal trial network within anesthesiology, resources such as the Outcomes Research Consortium, MPOG, and existing networks from previously conducted or ongoing trials (eg, Regional versus General Anesthesia for Promoting Independence after Hip Fracture [REGAIN,]23 Postoperative Pulmonary Complications, Early Mortality, and Hospital Stay After Noncardiothoracic Surgery,24 and Prophylactic Acetaminophen to Prevent Postoperative Delirium in Older Cardiac Surgical Patients [PANDORA])25 may be leveraged or built on to maximize efficiency. To streamline the conduct of clinical trials, certain aspects of study conduct or data collection (eg, common data elements) should be standardized. Establishing a culture of accountability at the outset of any trial network is essential. Individual sites should be held accountable for the science being conducted by maintaining robust processes for participant screening, participant recruitment, participant follow-up, and study oversite. A successful network provides “mentoring” of lower-performing sites from high-performing sites. The network should also aim to set and meet predesignated metrics to measure its own success (eg, completion of a certain number of trials, use of the network for federally funded trials), demonstrate return on investment, and establish the value of the network to all its member sites, funding agencies, and patients. Although initial steps of any network will focus on establishing a footprint and sustainability, there is a need to plan for growth. The network and participating sites would ideally prepare to expand and create capacity to conduct different types of studies (eg, mechanistic, longitudinal, or translational studies) with different designs (eg, stepped wedge, cluster randomization, hybrid implementation, platform trials), as well as the creation of centralized shared resources, such as tools for data collection or training research personnel, research support services (eg, biostatistical consulting, institutional review board resources), and data repositories or biobanks. While the U.S. health care system has many strengths that can be leveraged for running large-scale impactful clinical trials, major challenges exist, of which is the need to and This may be in anesthesiology which is and patients across the as existing funding in the United States (eg, of Health are often to support research on a specific or patient the high of clinical and to generate the conduct of research and a with successful networks, the need for funding is a across specialties and a for major is the national health care This challenges to of data collection and among and of or research and clinical there can be significant to in health care This may from health care are with existing and as well as from patients may be about or the potential of research on their clinical major include high patient for clinical research, large administrative and regulatory to conduct research in the United States, and research conduct and data While to multicenter trials, these challenges have a significant impact on design and performance of multicenter trials in the United States. of a institutional review board and of pragmatic clinical trials are 2 of multicenter trials that address these for Establishing an Patient-centered Research Network in Anesthesiology We for a patient-centered outcomes research network in the United States that impactful clinical trials in anesthesiology, perioperative critical and medicine The function of the network will be to serve as a of potential sites that investigators may for in clinical trials. the network would serve the function of collaborations knowledge of experiences performance and in the conduct of anesthesiology The from current research groups in 2 it would research and for and diversity of sites that have the potential to well and contribute to perioperative for researchers significant existing infrastructure within their or for emerging researchers existing with other sites, the network will facilitate among investigators and sites. 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This on research within and and implementation of to with to research, and programs in perioperative clinical The and of clinical research and the need for of from institutions and to support for and to support clinical research efforts will be to facilitate the conduct of large multicenter trials and of many patients in a We and to create and support clinical research that include trial research nurses, and trial should the of investigators for their in multicenter trials on site trial metrics and study anesthesia groups should also in pragmatic clinical trials, as electronic health record and across the group it to of and patient and intraoperative for large of with community can provide academic anesthesiologists with large of common cases for The and success of the Network a and incremental approach that on the are numerous important clinical questions to address Network success 1 or more initial trials to the Network into their trial performance, and This will provide to create and refine Network and efficiency. trials will need to funding and support of the Network, as the Network is and trials can use of the Network as a to sites, and conduct high-quality perioperative science and of Potential Multicenter Clinical Trial in the with Patient-centered Outcomes implementation of for in a in the use of and in postoperative the of use after a management approach at of postoperative to and management on monitoring the of postoperative to implementation of a patient after with feedback to and leaders impact patient and management the of postoperative to for with a patient-centered outcomes research network has a to transform anesthesiology and critical care medicine in providing clinical practice-changing trials and outcomes and The at for development. The Anesthesia Research Council is sponsored by the American Society of Anesthesiologists the International Anesthesia Research Society and the Foundation for Anesthesia Education and Research The and in this report are the of the and the of the or Research was provided from institutional funding from the U.S. of Health through grant funding from grant and has from and funding from grant funding from grant the Patient-Centered Outcomes Research Institute grant and Research from and serves as an for is also with the which is supported by funding from grants and from and from the of award a from the of Anesthesiology and at the University of and the and in Anesthesia Research at Hospital and the University of has also from for in and to the work and is a member of the scientific board of Surgical The other
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,368 | 0,489 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,002 |
| Méta-épidémiologie (sens large) | 0,002 | 0,003 |
| Bibliométrie | 0,005 | 0,009 |
| Études des sciences et des technologies | 0,006 | 0,004 |
| Communication savante | 0,017 | 0,014 |
| Science ouverte | 0,006 | 0,017 |
| Intégrité de la recherche | 0,013 | 0,020 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; l’étiquette directe de Gemma et le classifieur distillé Codex s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».