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Grit GF, van Geffen E, Malmberg R, van Leeuwen R, Böhringer S, Jm Smit H, Brocken P, Fh Eijsink J, Dronkers E, Gal P, Jaarsma E, Jhm van Drie-Pierik R, Mp Eldering-Heldens A, Machteld Wymenga AN, Gm Mol P, Zwaveling J, Hilarius D. Real-world overall survival after alternative dosing for pembrolizumab in the treatment of non-small cell lung cancer: A nationwide retrospective cohort study with a non-inferiority primary objective. Lung Cancer 2024; 196:107950. [PMID: 39236576 DOI: 10.1016/j.lungcan.2024.107950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Revised: 08/23/2024] [Accepted: 08/29/2024] [Indexed: 09/07/2024]
Abstract
BACKGROUND High and increasing expenses on pembrolizumab ask for more cost-effective and sustainable treatment strategies to improve affordability of healthcare. Therefore, a part of the Dutch hospitals implemented an alternative, partially lower, weight-based dosing protocol for pembrolizumab. This provided the unique opportunity to compare the overall survival (OS) of the alternative pembrolizumab dosing protocol to standard dosing using a nationwide registry in non-small cell lung cancer (NSCLC) patients. METHODS This is a retrospective cohort study with a non-inferiority primary objective. Forty hospitals in the Dutch Medication Audit and Dutch Lung Cancer Audit treated 1966 patients with NSCLC with first line pembrolizumab (mono- or combination therapy) between Jan 1st 2021, and Mar 31st, 2023. Alternative weight-based pembrolizumab dosing (100/150/200 mg Q3W or 200/300/400 mg Q6W) was administered to 604 patients, and 1362 patients received standard pembrolizumab dosing (200 mg Q3W or 400 mg Q6W). A Cox proportional hazard model with selected covariates was used to compare the OS between alternative and standard dosing protocols. The non-inferiority margin was set at a hazard ratio (HR) of 1.2 for OS. Non-inferiority is established by showing that the upper limit of the 95 % confidence interval (CI) of the HR of OS is smaller or equal to 1.2. RESULTS Distribution of age (66.7 years +/-9.4), sex (45 % female) and treatment combinations were similar for both groups, comorbidity score was higher in the standard group. Median daily dose in the alternative dosing group was 22 % lower compared to the standard dosing group, 7.14 mg/day (interquartile range (IQR):5.48-8.04 mg/day) vs. 9.15 mg/day (IQR:8.33-9.52 mg/day), respectively. Alternative dosing was non-inferior to standard dosing regarding overall survival (adjusted HR 0.83, 95 %CI:0.69-1.003). CONCLUSION This large, retrospective real-world analysis supports the hypothesis that the alternative, partially lower pembrolizumab dosing protocol in NSCLC maintains treatment effectiveness while reducing treatment costs.
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Affiliation(s)
- Geeske F Grit
- Dutch Institute for Clinical Auditing, Leiden, the Netherlands; Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, Groningen, the Netherlands.
| | | | - Ruben Malmberg
- Department of Hospital Pharmacy, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Roelof van Leeuwen
- Department of Hospital Pharmacy, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Stefan Böhringer
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, the Netherlands; Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands
| | - Hans Jm Smit
- Department of Pulmonary Medicine, Rijnstate Hospital, Arnhem, the Netherlands
| | - Pepijn Brocken
- Department of Pulmonology, HAGA Teaching Hospital, Den Haag, the Netherlands
| | - Job Fh Eijsink
- Department of Clinical Pharmacy, Isala Klinieken, Zwolle, the Netherlands
| | | | - Pim Gal
- LOGEX Healthcare Analytics, Amsterdam, the Netherlands
| | - Eva Jaarsma
- LOGEX Healthcare Analytics, Amsterdam, the Netherlands
| | | | | | - A N Machteld Wymenga
- Department of Internal Medicine, Medisch Spectrum Twente, Enschede, the Netherlands
| | - Peter Gm Mol
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, Groningen, the Netherlands
| | - Juliëtte Zwaveling
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, the Netherlands
| | - Doranne Hilarius
- Department of Pharmacy, Rode Kruis Ziekenhuis, Beverwijk, the Netherlands
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2
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Sánchez JC, Nuñez-García B, Garitaonaindia Y, Calvo V, Blanco M, Ramos Martín-Vegue A, Royuela A, Manso M, Cantos B, Méndez M, Collazo-Lorduy A, Provencio M. Quality of care assessment for non-small cell lung cancer patients: transforming routine care data into a continuous improvement system. Clin Transl Oncol 2024:10.1007/s12094-024-03658-3. [PMID: 39147937 DOI: 10.1007/s12094-024-03658-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 07/31/2024] [Indexed: 08/17/2024]
Abstract
PURPOSE The complexity of cancer care requires planning and analysis to achieve the highest level of quality. We aim to measure the quality of care provided to patients with non-small cell lung cancer (NSCLC) using the data contained in the hospital's information systems, in order to establish a system of continuous quality improvement. METHODS/PATIENTS Retrospective observational cohort study conducted in a university hospital in Spain, consecutively including all patients with NSCLC treated between 2016 and 2020. A total of 34 quality indicators were selected based on a literature review and clinical practice guideline recommendations, covering care processes, timeliness, and outcomes. Applying data science methods, an analysis algorithm, based on clinical guideline recommendations, was set up to integrate activity and administrative data extracted from the Electronic Patient Record along with clinical data from a lung cancer registry. RESULTS Through data generated in routine practice, it has been feasible to reconstruct the therapeutic trajectory and automatically calculate quality indicators using an algorithm based on clinical practice guidelines. Process indicators revealed high adherence to guideline recommendations, and outcome indicators showed favorable survival rates compared to previous data. CONCLUSIONS Our study proposes a methodology to take advantage of the data contained in hospital information sources, allowing feedback and repeated measurement over time, developing a tool to understand quality metrics in accordance with evidence-based recommendations, ultimately seeking a system of continuous improvement of the quality of health care.
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Affiliation(s)
- Juan C Sánchez
- Medical Oncology Department, Puerta de Hierro-Majadahonda University Hospital, C. Joaquín Rodrigo, 1, Majadahonda, 28222, Madrid, Spain.
| | - Beatriz Nuñez-García
- Medical Oncology Department, Puerta de Hierro-Majadahonda University Hospital, C. Joaquín Rodrigo, 1, Majadahonda, 28222, Madrid, Spain
| | - Yago Garitaonaindia
- Medical Oncology Department, Puerta de Hierro-Majadahonda University Hospital, C. Joaquín Rodrigo, 1, Majadahonda, 28222, Madrid, Spain
| | - Virginia Calvo
- Medical Oncology Department, Puerta de Hierro-Majadahonda University Hospital, C. Joaquín Rodrigo, 1, Majadahonda, 28222, Madrid, Spain
| | - Mariola Blanco
- Medical Oncology Department, Puerta de Hierro-Majadahonda University Hospital, C. Joaquín Rodrigo, 1, Majadahonda, 28222, Madrid, Spain
| | - Arturo Ramos Martín-Vegue
- Admission and Clinical Documentation Department, Puerta de Hierro-Majadahonda University Hospital, Madrid, Spain
| | - Ana Royuela
- Biostatistics Unit, Hospital Universitario Puerta de Hierro Majadahonda, IDIPHISA. CIBERESP, ISCIII, Madrid, Spain
| | - Marta Manso
- Hospital Pharmacy Service, Puerta de Hierro-Majadahonda University Hospital, Madrid, Spain
| | - Blanca Cantos
- Medical Oncology Department, Puerta de Hierro-Majadahonda University Hospital, C. Joaquín Rodrigo, 1, Majadahonda, 28222, Madrid, Spain
| | - Miriam Méndez
- Medical Oncology Department, Puerta de Hierro-Majadahonda University Hospital, C. Joaquín Rodrigo, 1, Majadahonda, 28222, Madrid, Spain
| | - Ana Collazo-Lorduy
- Medical Oncology Department, Puerta de Hierro-Majadahonda University Hospital, C. Joaquín Rodrigo, 1, Majadahonda, 28222, Madrid, Spain
| | - Mariano Provencio
- Medical Oncology Department, Puerta de Hierro-Majadahonda University Hospital, C. Joaquín Rodrigo, 1, Majadahonda, 28222, Madrid, Spain
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3
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Nash J, Stone E, Vinod S, Leong T, Dawkins P, Stirling RG, Harden S, Bolton A, McWilliams A, O'Byrne K, Wright GM, Brunelli VN, Guan T, Philpot S, Navani N, Brims F. Lung cancer (internet-based) Delphi (LUCiD): A modified eDelphi consensus process to establish Australasian clinical quality indicators for thoracic cancer. Respirology 2024. [PMID: 39138009 DOI: 10.1111/resp.14812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Accepted: 07/24/2024] [Indexed: 08/15/2024]
Abstract
BACKGROUND AND OBJECTIVE Approximately 16,000 new cases of lung cancer are diagnosed each year in Australia and Aotearoa New Zealand, and it is the leading cause of cancer death in the region. Unwarranted variation in lung cancer care and outcomes has been described for many years, although clinical quality indicators to facilitate benchmarking across Australasia have not been established. The purpose of this study was to establish clinical quality indicators applicable to lung and other thoracic cancers across Australia and Aotearoa New Zealand. METHODS Following a literature review, a modified three round eDelphi consensus process was completed between October 2022 and June 2023. Participants included clinicians from all relevant disciplines, patient advocates, researchers and other stakeholders, with representatives from all Australian states and territories and Aotearoa New Zealand. Consensus was set at a threshold of 70%, with the first two rounds conducted as online surveys, and the final round held as a hybrid in person and virtual consensus meeting. RESULTS The literature review identified 422 international thoracic oncology indicators, and a total of 71 indicators were evaluated over the course of the Delphi consensus. Ultimately, 27 clinical quality indicators reached consensus, covering the continuum of thoracic oncologic care from diagnosis to first line treatment. Indicators benchmarking supportive care were poorly represented. Attendant numeric quality standards were developed to facilitate benchmarking. CONCLUSION Twenty-seven clinical quality indicators relevant to thoracic oncology care in Australasia were developed. Real world implementation will now be explored utilizing a prospective dataset collected across Australia.
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Affiliation(s)
- Jessica Nash
- Curtin Medical School, Curtin University, Perth, Western Australia, Australia
- Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
| | - Emily Stone
- Department of Thoracic Medicine and Lung Transplantation, St Vincent's Hospital Sydney, Sydney, New South Wales, Australia
- School of Clinical Medicine, St Vincent's Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - Shalini Vinod
- South West Sydney Clinical Campuses, University of New South Wales, Sydney, New South Wales, Australia
- Cancer Therapy Centre, Liverpool Hospital, Sydney, New South Wales, Australia
| | - Tracy Leong
- Department of Respiratory and Sleep Medicine, Austin Health, Melbourne, Victoria, Australia
| | - Paul Dawkins
- Department of Respiratory Medicine, Middlemore Hospital, Auckland, New Zealand
- Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Rob G Stirling
- Department of Respiratory Medicine, Alfred Health, Melbourne, Victoria, Australia
- Central Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Susan Harden
- Central Clinical School, Monash University, Melbourne, Victoria, Australia
- University of Melbourne, Melbourne, Victoria, Australia
- Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | | | - Annette McWilliams
- Department of Respiratory Medicine, Fiona Stanley Hospital, Perth, Western Australia, Australia
- University of Western Australia, Perth, Western Australia, Australia
| | - Kenneth O'Byrne
- Department of Medical Oncology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
- Queensland University of Technology, Brisbane, Queensland, Australia
| | - Gavin M Wright
- University of Melbourne, Melbourne, Victoria, Australia
- Victorian Comprehensive Cancer Centre, Melbourne, Victoria, Australia
- Department of Cardiothoracic Surgery, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
| | - Vanessa N Brunelli
- Faculty of Science, Medicine, and Health, University of Wollongong, Wollongong, New South Wales, Australia
| | - Tracey Guan
- Cancer Alliance Queensland, Brisbane, Queensland, Australia
| | - Shoni Philpot
- Cancer Alliance Queensland, Brisbane, Queensland, Australia
| | - Neal Navani
- Department of Thoracic Medicine, University College London Hospital, London, UK
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
| | - Fraser Brims
- Curtin Medical School, Curtin University, Perth, Western Australia, Australia
- Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
- National Centre for Asbestos Related Diseases, Institute for Respiratory Health, Perth, Western Australia, Australia
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4
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ten Berge H, Ramaker D, Piazza G, Pan X, Lamprecht B, Valipour A, Prosch H. Shall We Screen Lung Cancer with Volume Computed Tomography in Austria? A Cost-Effectiveness Modelling Study. Cancers (Basel) 2024; 16:2623. [PMID: 39123350 PMCID: PMC11310943 DOI: 10.3390/cancers16152623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Revised: 07/16/2024] [Accepted: 07/18/2024] [Indexed: 08/12/2024] Open
Abstract
This study assessed the cost-effectiveness of a lung cancer screening (LCS) program using low-dose computed tomography (LDCT) in Austria. An existing decision tree with an integrated Markov model was used to analyze the cost-effectiveness of LCS versus no screening from a healthcare payer perspective over a lifetime horizon. A simulation was conducted to model annual LCS for an asymptomatic high-risk population cohort aged 50-74 with a smoking history using the Dutch-Belgian Lung Cancer Screening Study (NEderlands-Leuvens Longkanker ScreeningsONderzoek, NELSON) screening outcomes. The principal measure utilized to assess cost-effectiveness was the incremental cost-effectiveness ratio (ICER). Sensitivity and scenario analyses were employed to determine uncertainties surrounding the key model inputs. At an uptake rate of 50%, 300,277 eligible individuals would participate in the LCS program, yielding 56,122 incremental quality-adjusted life years (QALYs) and 84,049 life years gained compared to no screening, with an ICER of EUR 24,627 per QALY gained or EUR 16,444 per life-year saved. Additionally, LCS led to the detection of 25,893 additional early-stage lung cancers and averted 11,906 premature lung cancer deaths. It was estimated that LCS would incur EUR 945 million additional screening costs and EUR 386 million additional treatment costs. These estimates were robust in sensitivity analyses. Implementation of annual LCS with LDCT for a high-risk population, using the NELSON screening outcomes, is cost-effective in Austria, at a threshold of EUR 50,000 per QALY.
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Affiliation(s)
- Hilde ten Berge
- Institute for Diagnostic Accuracy, 9713 GH Groningen, The Netherlands
| | - Dianne Ramaker
- Institute for Diagnostic Accuracy, 9713 GH Groningen, The Netherlands
| | - Greta Piazza
- Institute for Diagnostic Accuracy, 9713 GH Groningen, The Netherlands
| | - Xuanqi Pan
- Institute for Diagnostic Accuracy, 9713 GH Groningen, The Netherlands
- Unit of Global Health, Faculty of Medical Sciences, University of Groningen, 9713 GZ Groningen, The Netherlands
| | - Bernd Lamprecht
- Department of Pulmonary Medicine, Kepler University Hospital, 4020 Linz, Austria
- Medical Faculty, Johannes Kepler University, 4040 Linz, Austria
| | - Arschang Valipour
- Karl-Landsteiner-Institute for Lung Research and Pulmonary Oncology, Klinik Floridsdorf, 1210 Vienna, Austria
| | - Helmut Prosch
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna General Hospital, 1090 Vienna, Austria
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5
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Hochmair M, Terbuch A, Lang D, Trockenbacher C, Augustin F, Ghanim B, Maurer D, Taghizadeh H, Kamhuber C, Wurm R, Lindenmann J, Braz P, Bundalo T, Begic M, Bauer J, Reimann P, Müser N, Huemer F, Schlintl V, Bianconi D, Baumgartner B, Schenk P, Rauter M, Hötzenecker K. Real-World Treatment Patterns and Timeliness of Clinical Care Pathway for Non-Small Cell Lung Cancer Patients in Austria: The PRATER Retrospective Study. Cancers (Basel) 2024; 16:2586. [PMID: 39061224 PMCID: PMC11275022 DOI: 10.3390/cancers16142586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Revised: 07/05/2024] [Accepted: 07/17/2024] [Indexed: 07/28/2024] Open
Abstract
This was a retrospective study of the profile and initial treatments of adults diagnosed with early-stage (ES) non-small cell lung cancer (NSCLC) during January 2018-December 2021 at 16 leading hospital institutions in Austria, excluding patients enrolled in clinical trials. In total, 319 patients were enrolled at a planned ~1:1:1 ratio across StI:II:III. Most tested biomarkers were programmed death ligand 1 (PD-L1; 58% expressing), Kirsten rat sarcoma virus (KRAS; 22% positive), and epidermal growth factor receptor (EGFR; 18% positive). Of 115/98/106 StI/II/III patients, 82%/85%/36% underwent surgery, followed by systemic therapy in 9%/45%/47% of those [mostly chemotherapy (ChT)]. Unresected treated StIII patients received ChT + radiotherapy [43%; followed by immune checkpoint inhibitors (ICIs) in 39% of those], ICI ± ChT (35%), and ChT-alone/radiotherapy-alone (22%). Treatment was initiated a median (interquartile range) of 24 (7-39) days after histological confirmation, and 55 (38-81) days after first medical visit. Based on exploratory analyses of all patients newly diagnosed with any stage NSCLC during 2018-2021 at 14 of the sites (N = 7846), 22%/10%/25%/43% had StI/II/III/IV. The total number was not significantly different between pre-COVID-19 (2018-2019) and study-specific COVID-19 (2020-2021) periods, while StI proportion increased (21% vs. 23%; p = 0.012). Small differences were noted in treatments. In conclusion, treatments were aligned with guideline recommendations at a time which preceded the era of ICIs and targeted therapies in the (neo)adjuvant setting.
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Affiliation(s)
- Maximilian Hochmair
- Department of Respiratory and Critical Care Medicine, Karl Landsteiner Institute of Lung Research and Pulmonary Oncology, Klinik Floridsdorf, 1210 Vienna, Austria
| | - Angelika Terbuch
- Division of Oncology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria
| | - David Lang
- Department of Pulmonology, Johannes Kepler University Linz, Kepler University Hospital, 4829 Linz, Austria
| | | | - Florian Augustin
- Department of Visceral, Transplant and Thoracic Surgery, Medical University Innsbruck, 6020 Innsbruck, Austria
| | - Bahil Ghanim
- Department of General and Thoracic Surgery, University Hospital Krems, 3500 Krems an der Donau, Austria
| | - Dominik Maurer
- Department of Pulmonology, Ordensklinikum Elisabethinen Linz, 4020 Linz, Austria
| | - Hossein Taghizadeh
- Division of Oncology, Department of Internal Medicine I, University Hospital St. Pölten, 3100 St. Pölten, Austria
| | - Christoph Kamhuber
- Department of Oncology, Kardinal Schwarzenberg Klinikum, 5620 Schwarzach, Austria
| | - Robert Wurm
- Department of Pulmonology, Medical University Graz, 8036 Graz, Austria
| | - Jörg Lindenmann
- Division of Thoracic and Hyperbaric Surgery, Department of Surgery, Medical University of Graz, 8036 Graz, Austria
| | - Petra Braz
- Department of Pulmonology, Landesklinikum Hochegg, 2840 Hochegg, Austria (P.S.)
| | - Tatjana Bundalo
- Department of Pulmonology, Landesklinikum Hochegg, 2840 Hochegg, Austria (P.S.)
| | - Merjem Begic
- Department of Thoracic Surgery, Medical University of Vienna, 8036 Vienna, Austria
| | - Johanna Bauer
- Department of Thoracic Surgery, Medical University of Vienna, 8036 Vienna, Austria
| | - Patrick Reimann
- Department of Oncology, Landeskrankenhaus Feldkirch, 6800 Feldkirch, Austria
| | - Nino Müser
- Department of Medicine II with Pneumology, Karl Landsteiner Institute for Lung Research and Pulmonary Oncology, Klinik Ottakring, 1160 Vienna, Austria
| | - Florian Huemer
- Division of Pulmonology, Klinik Penzing, 1140 Vienna, Austria
| | - Verena Schlintl
- Division of Oncology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria
| | | | | | - Peter Schenk
- Department of Pulmonology, Landesklinikum Hochegg, 2840 Hochegg, Austria (P.S.)
| | - Markus Rauter
- Department of Pulmonology, Klinikum Klagenfurt Am Woerthersee, 9020 Klagenfurt, Austria
| | - Konrad Hötzenecker
- Department of Thoracic Surgery, Medical University of Vienna, 8036 Vienna, Austria
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Slotman E, Weijzen F, Fransen HP, van Hoeve JC, Huijben AMT, Kuip EJM, Jager A, Kunst PWA, van Laarhoven HWM, Tol J, Tjan-Heijnen VCG, Raijmakers NJH, van der Linden YM, Siesling S. Continuity of care for patients with de novo metastatic cancer during the COVID-19 pandemic: A population-based observational study. Int J Cancer 2024; 154:1786-1793. [PMID: 38268393 DOI: 10.1002/ijc.34857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 12/12/2023] [Accepted: 12/13/2023] [Indexed: 01/26/2024]
Abstract
During the COVID-19 pandemic recommendations were made to adapt cancer care. This population-based study aimed to investigate possible differences between the treatment of patients with metastatic cancer before and during the pandemic by comparing the initial treatments in five COVID-19 periods (weeks 1-12 2020: pre-COVID-19, weeks 12-20 2020: 1st peak, weeks 21-41 2020: recovery, weeks 42-53 2020: 2nd peak, weeks 1-20 2021: prolonged 2nd peak) with reference data from 2017 to 2019. The proportion of patients receiving different treatment modalities (chemotherapy, hormonal therapy, immunotherapy or targeted therapy, radiotherapy primary tumor, resection primary tumor, resection metastases) within 6 weeks of diagnosis and the time between diagnosis and first treatment were compared by period. In total, 74,208 patients were included. Overall, patients were more likely to receive treatments in the COVID-19 periods than in previous years. This mainly holds for hormone therapy, immunotherapy or targeted therapy and resection of metastases. Lower odds were observed for resection of the primary tumor during the recovery period (OR 0.87; 95% CI 0.77-0.99) and for radiotherapy on the primary tumor during the prolonged 2nd peak (OR 0.84; 95% CI 0.72-0.98). The time from diagnosis to the start of first treatment was shorter, mainly during the 1st peak (average 5 days, p < .001). These findings show that during the first 1.5 years of the COVID-19 pandemic, there were only minor changes in the initial treatment of metastatic cancer. Remarkably, time from diagnosis to first treatment was shorter. Overall, the results suggest continuity of care for patients with metastatic cancer during the pandemic.
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Affiliation(s)
- Ellis Slotman
- Technical Medical Centre, Department of Health Technology and Services Research, University of Twente, Enschede, Netherlands
- Department of Research and Development, Netherlands Comprehensive Cancer Organisation, Utrecht, Netherlands
- Netherlands Association for Palliative Care, Utrecht, Netherlands
| | - Feike Weijzen
- Technical Medical Centre, Department of Health Technology and Services Research, University of Twente, Enschede, Netherlands
| | - Heidi P Fransen
- Department of Research and Development, Netherlands Comprehensive Cancer Organisation, Utrecht, Netherlands
- Netherlands Association for Palliative Care, Utrecht, Netherlands
| | - Jolanda C van Hoeve
- Technical Medical Centre, Department of Health Technology and Services Research, University of Twente, Enschede, Netherlands
- Department of Research and Development, Netherlands Comprehensive Cancer Organisation, Utrecht, Netherlands
| | - Auke M T Huijben
- Department of Internal Medicine, Maasstad Hospital, Rotterdam, Netherlands
| | - Evelien J M Kuip
- Department of Medical Oncology and Department of Anesthesiology, Pain and Palliative Care, Radboud Medical Center, Nijmegen, Netherlands
| | - Agnes Jager
- Department of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Peter W A Kunst
- Department of Research and Development, Netherlands Comprehensive Cancer Organisation, Utrecht, Netherlands
- Department of Pulmonology, Onze Lieve Vrouwe Gasthuis, Amsterdam, Netherlands
| | - Hanneke W M van Laarhoven
- Medical Oncology, Amsterdam UMC location University of Amsterdam, Amsterdam, Netherlands
- Cancer Treatment and Quality of Life, Cancer Center Amsterdam, Amsterdam, Netherlands
| | - Jolien Tol
- Department of Internal Medicine, Jeroen Bosch Hospital, 's-Hertogenbosch, Netherlands
| | - Vivianne C G Tjan-Heijnen
- Department of Medical Oncology, Research Institute GROW, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Natasja J H Raijmakers
- Department of Research and Development, Netherlands Comprehensive Cancer Organisation, Utrecht, Netherlands
- Netherlands Association for Palliative Care, Utrecht, Netherlands
| | - Yvette M van der Linden
- Department of Research and Development, Netherlands Comprehensive Cancer Organisation, Utrecht, Netherlands
- Department of Radiotherapy, Leiden University Medical Centre, Leiden, Netherlands
- Centre of Expertise in Palliative Care, Leiden University Medical Centre, Leiden, Netherlands
| | - Sabine Siesling
- Technical Medical Centre, Department of Health Technology and Services Research, University of Twente, Enschede, Netherlands
- Department of Research and Development, Netherlands Comprehensive Cancer Organisation, Utrecht, Netherlands
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7
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Utzig M, Hoffmann H, Reinmuth N, Schütte W, Langer T, Lobitz J, Rückher J, Wesselmann S. Development and Update of Guideline-based Quality Indicators in Lung Cancer. Pneumologie 2024; 78:250-261. [PMID: 38081218 DOI: 10.1055/a-2204-4879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/14/2024]
Abstract
BACKGROUND In 2022, an update of the German lung cancer guideline, first published in 2010 and revised in 2018, was released. This article aims to show the process of updating, developing, and implementing guideline-based quality indicators (QI) into the certification system for lung cancer centers (LCC). METHODS A multidisciplinary and interprofessional working group revised the guideline QIs from 2018 using the strong recommendations of the guideline update, a systematic review for QIs, and the results of the implemented QIs from LCC. RESULTS For 4 out of 8 indicators from the 2018 guideline, the LCC showed an improved implementation of the requirements in the last 3 years (2018-2020). For 3 indicators, the median of the results was constant at a very high level (≥96% or 100%). Only the "adjuvant cisplatin-based chemotherapy" indicator showed declining values between 2018 and 2020. The target values and plausibility limits were well achieved by LCC. After updating the guideline, one QI from 2018 was not included in the new QI set due to the small denominator population. Based on the new strong recommendations, 8 new QIs were defined. From the QI set of the guideline update, 13 of 15 indicators (7 since 2018 and 6 from 2022 on) were adopted into the certification program. CONCLUSIONS The guideline recommendations are implemented by LCC at a high level. The process presented confirms the successful implementation of the so-called quality cycle in oncology. The QIs developed by the German Guideline Program in Oncology (GGPO) are adopted by the certification program. The implementation of the QI is measured in LCC, evaluated by the German Cancer Society (DKG), and reflected back to the GGPO. The "real world" data have led to the deletion of one QI and show a high implementation of most QIs in LCC.
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Affiliation(s)
- Martin Utzig
- Zertifizierung, Deutsche Krebsgesellschaft e.V., Berlin, Germany
| | - Hans Hoffmann
- Division of Thoraxchirurgie, Klinikum rechts der Isar der Technischen Universität München, München, Germany
| | - Niels Reinmuth
- Thorakale Onkologie, Asklepios Fachkliniken München-Gauting, Gauting, Germany
| | - Wolfgang Schütte
- Klinik für Innere Medizin II, Krankenhaus Martha-Maria Halle-Dölau gGmbH, Halle, Germany
| | - Thomas Langer
- Leitlinienprogramm Onkologie, Deutsche Krebsgesellschaft e.V., Berlin, Germany
| | - Jessica Lobitz
- Wissensmanagement/Infonetz Krebs, Deutsche Krebsgesellschaft e.V., Berlin, Germany
| | - Johannes Rückher
- Zertifizierung, Deutsche Krebsgesellschaft e.V., Berlin, Germany
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Ten Berge H, Willems B, Pan X, Dvortsin E, Aerts J, Postma MJ, Prokop M, van den Heuvel MM. Cost-effectiveness analysis of a lung cancer screening program in the netherlands: a simulation based on NELSON and NLST study outcomes. J Med Econ 2024; 27:1197-1211. [PMID: 39291295 DOI: 10.1080/13696998.2024.2404359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Revised: 09/09/2024] [Accepted: 09/11/2024] [Indexed: 09/19/2024]
Abstract
BACKGROUND In the Netherlands, lung cancer is the leading cause of cancer-related death, accounting for more than 10,000 annual deaths. Lung cancer screening (LCS) studies using low-dose computed tomography (LDCT) have demonstrated that early detection reduces lung cancer mortality. However, no LCS program has been implemented yet in the Netherlands. A national LCS program has the potential to enhance the health outcomes for lung cancer patients in the Netherlands. OBJECTIVE AND METHODS This study evaluates the cost-effectiveness of LCS compared to no-screening in the Netherlands, by simulating the screening outcomes based on data from NEderlands-Leuvens Longkanker Screenings ONderzoek (NELSON) and National Lung Screening Trial (NLST). We simulated annual screening up to 74 years of age, using inclusion criteria from the respective studies. A decision tree and Markov model was used to predict the incremental costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratio (ICERs) for the screening population. The analysis used a lifetime horizon and a societal perspective. RESULTS Compared to no-screening, LCS resulted in an ICER of €5,169 per QALY for the NELSON simulation, and an ICER of €17,119 per QALY for the NLST simulation. The screening costs were highly impactful for the cost-effectiveness. The most influential parameter was the CT scan cost. Cost reduction for CT from €201 to €101 per scan would reduce the ICER to €2,335 using NELSON criteria. Additionally, LCS could prevent 15,115 and 12,611 premature lung cancer deaths, accompanied by 1.66 and 1.31 QALYs gained per lung cancer case for the NELSON and NLST simulations, respectively. CONCLUSION LCS was estimated to be cost-effective in the Netherlands for both simulations at a willingness-to-pay threshold of €20,000 per QALY. Using the NELSON criteria, less than €5,500 per QALY had to be spent. Lowering the cost per CT exam would lead to a further reduction of this amount.
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Affiliation(s)
- Hilde Ten Berge
- Institute for Diagnostic Accuracy, Groningen, The Netherlands
| | - Bo Willems
- Department of Pulmonary Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
- AstraZeneca, Oncology Business Unit, The Netherlands
| | - Xuanqi Pan
- Institute for Diagnostic Accuracy, Groningen, The Netherlands
- Unit of Global Health, Faculty of Medical Sciences, University of Groningen, Groningen, The Netherlands
| | - Evgeni Dvortsin
- Institute for Diagnostic Accuracy, Groningen, The Netherlands
| | - Joachim Aerts
- Department of Pulmonary Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Maarten J Postma
- Unit of Global Health, Faculty of Medical Sciences, University of Groningen, Groningen, The Netherlands
- Department of Economics, Econometrics & Finance, Faculty of Economics & Business, University of Groningen, Groningen, The Netherlands
| | - Mathias Prokop
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Michel M van den Heuvel
- Department of Pulmonary Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
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9
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Nash J, Brims F. International standards of care in thoracic oncology: A narrative review of clinical quality indicators. Lung Cancer 2023; 186:107421. [PMID: 37988782 DOI: 10.1016/j.lungcan.2023.107421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 10/09/2023] [Accepted: 11/07/2023] [Indexed: 11/23/2023]
Abstract
Unwarranted variations in lung cancer care are widely described. Clinical Quality Indicators (CQIs) enable the systematic identification and alleviation of variations in care and other evidence-practice gaps. The aim of this review was to describe and evaluate lung cancer CQIs utilised internationally, in order to provide a substrate for the development of Australasian lung cancer CQIs and future quality improvement initiatives. A literature search was performed to identify relevant publications; references were excluded if they did not explicitly define original lung cancer-specific quality indicators, or were review or opinion articles. Ultimately, 48 publications containing 661 individual CQIs were evaluated. Although almost all references were published in the last decade, CQIs did not always reflect contemporary standards of care. For example, there were just sixteen CQIs regarding biomarker profiling, eleven CQIs regarding multidisciplinary team review, and three clinical trial enrolment CQIs. Of 307 lung cancer treatment CQIs, almost half (137) pertain to surgical resection; a treatment option available to a minority of lung cancer patients. Consumer engagement during indicator development was uncommon. In conclusion, whilst CQIs are widely measured and reported, they are not always consistent with evidence-based practice, nor do they reliably support the holistic evaluation of the lung cancer care continuum. Moving forward, Australia and New Zealand must adopt a unified, evidence-based and patient-centred approach to drive meaningful improvements in practice.
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Affiliation(s)
- Jessica Nash
- Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Perth, Australia; Curtin Medical School, Curtin University, Perth, Australia
| | - Fraser Brims
- Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Perth, Australia; Curtin Medical School, Curtin University, Perth, Australia; National Centre for Asbestos Related Diseases, Institute for Respiratory Health, Perth, Australia.
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10
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Schepens MHJ, Trompert AC, van Hooff ML, van der Velde E, Kallewaard M, Verberk-Jonkers IJAM, Cense HA, Somford DM, Repping S, Tromp SC, Wouters MWJM. Using Existing Clinical Information Models for Dutch Quality Registries to Reuse Data and Follow COUMT Paradigm. Appl Clin Inform 2023; 14:326-336. [PMID: 37137338 PMCID: PMC10156444 DOI: 10.1055/s-0043-1767681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/05/2023] Open
Abstract
BACKGROUND Reuse of health care data for various purposes, such as the care process, for quality measurement, research, and finance, will become increasingly important in the future; therefore, "Collect Once Use Many Times" (COUMT). Clinical information models (CIMs) can be used for content standardization. Data collection for national quality registries (NQRs) often requires manual data entry or batch processing. Preferably, NQRs collect required data by extracting data recorded during the health care process and stored in the electronic health record. OBJECTIVES The first objective of this study was to analyze the level of coverage of data elements in NQRs with developed Dutch CIMs (DCIMs). The second objective was to analyze the most predominant DCIMs, both in terms of the coverage of data elements as well as in their prevalence across existing NQRs. METHODS For the first objective, a mapping method was used which consisted of six steps, ranging from a description of the clinical pathway to a detailed mapping of data elements. For the second objective, the total number of data elements that matched with a specific DCIM was counted and divided by the total number of evaluated data elements. RESULTS An average of 83.0% (standard deviation: 11.8%) of data elements in studied NQRs could be mapped to existing DCIMs . In total, 5 out of 100 DCIMs were needed to map 48.6% of the data elements. CONCLUSION This study substantiates the potential of using existing DCIMs for data collection in Dutch NQRs and gives direction to further implementation of DCIMs. The developed method is applicable to other domains. For NQRs, implementation should start with the five DCIMs that are most prevalently used in the NQRs. Furthermore, a national agreement on the leading principle of COUMT for the use and implementation for DCIMs and (inter)national code lists is needed.
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Affiliation(s)
- Maike H J Schepens
- Cirka BV, Healthcare Strategy and Innovation, Zeist, The Netherlands
- Department of Biomedical Data Sciences, LUMC, Leiden, The Netherlands
| | | | - Miranda L van Hooff
- Department of Orthopedics, Radboud UMC, Nijmegen, The Netherlands
- Department of Orthopedics, Sint Maartenskliniek, Nijmegen, The Netherlands
| | - Erik van der Velde
- Dutch Association of Medical Specialists, Utrecht, The Netherlands
- Zorgverbeteraars, Healthcare IT Consulting, Roden, The Netherlands
| | | | - Iris J A M Verberk-Jonkers
- Dutch Association of Medical Specialists, Utrecht, The Netherlands
- Department of Nephrology, Maasstad Hospital, Rotterdam, The Netherlands
| | - Huib A Cense
- Department of Surgery, Rode Kruis Hospital, Beverwijk, The Netherlands
- Department of Health System Innovation. Faculty of Economics and Business, Groningen University. Groningen, The Netherlands
| | - Diederik M Somford
- Department of Urology, Canisius Wilhelmina Hospital, Nijmegen, The Netherlands
| | - Sjoerd Repping
- Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Selma C Tromp
- Dutch Association of Medical Specialists, Utrecht, The Netherlands
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Michel W J M Wouters
- Department of Biomedical Data Sciences, LUMC, Leiden, The Netherlands
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands
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11
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Ismail RK, Schramel FMNH, van Dartel M, Pasmooij AMG, Cramer-van der Welle CM, Hilarius DL, de Boer A, Wouters MWJM, van de Garde EMW. Individual patient data to allow a more elaborated comparison of trial results with real-world outcomes from first-line immunotherapy in NSCLC. BMC Med Res Methodol 2023; 23:1. [PMID: 36593440 PMCID: PMC9807419 DOI: 10.1186/s12874-022-01760-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Accepted: 10/19/2022] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Many studies have compared real-world clinical outcomes of immunotherapy in patients with metastatic non-small cell lung cancer (NSCLC) with reported outcomes data from pivotal trials. However, any differences observed could be only limitedly explored further for causation because of the unavailability of individual patient data (IPD) from trial participants. The present study aims to explore the additional benefit of comparison with IPD. METHODS This study compares progression free survival (PFS) and overall survival (OS) of metastatic NSCLC patients treated with second line nivolumab in real-world clinical practice (n = 141) with IPD from participants in the Checkmate-057 clinical trial (n = 292). Univariate and multivariate Cox proportional hazards models were used to construct HRs for real-world practice versus clinical trial. RESULTS Real-world patients were older (64 vs. 61 years), had more often ECOG PS ≥ 2 (5 vs. 0%) and were less often treated with subsequent anti-cancer treatment (28.4 vs. 42.5%) compared to trial patients. The median PFS in real-world patients was longer (3.84 (95%CI: 3.19-5.49) vs 2.30 (2.20-3.50) months) and the OS shorter than in trial participants (8.25 (6.93-13.2) vs. 12.2 (9.90-15.1) months). Adjustment with available patient characteristics, led to a shift in the hazard ratio (HR) for OS, but not for PFS (HRs from 1.13 (0.88-1.44) to 1.07 (0.83-1.38), and from 0.82 (0.66-1.03) to 0.79 (0.63-1.00), respectively). CONCLUSIONS This study is an example how IPD from both real-world and trial patients can be applied to search for factors that could explain an efficacy-effectiveness gap. Making IPD from clinical trials available to the international research community allows this.
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Affiliation(s)
- R. K. Ismail
- grid.511517.6Dutch Institute for Clinical Auditing, Leiden, the Netherlands ,grid.5477.10000000120346234Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht, The Netherlands ,grid.491235.80000 0004 0465 5952Medicines Evaluation Board, Utrecht, The Netherlands
| | - F. M. N. H. Schramel
- grid.415960.f0000 0004 0622 1269Department of Pulmonary Diseases, St Antonius Hospital, Nieuwegein, The Netherlands
| | - M. van Dartel
- grid.491235.80000 0004 0465 5952Medicines Evaluation Board, Utrecht, The Netherlands
| | - A. M. G. Pasmooij
- grid.491235.80000 0004 0465 5952Medicines Evaluation Board, Utrecht, The Netherlands
| | | | - D. L. Hilarius
- Department of Clinical Pharmacy, Rode Kruis Hospital, Beverwijk, The Netherlands
| | - A. de Boer
- grid.5477.10000000120346234Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht, The Netherlands ,grid.491235.80000 0004 0465 5952Medicines Evaluation Board, Utrecht, The Netherlands
| | - M. W. J. M. Wouters
- grid.511517.6Dutch Institute for Clinical Auditing, Leiden, the Netherlands ,grid.10419.3d0000000089452978Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - E. M. W. van de Garde
- grid.5477.10000000120346234Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht, The Netherlands ,grid.415960.f0000 0004 0622 1269Department of Clinical Pharmacy, St Antonius Hospital, Nieuwegein, Utrecht, The Netherlands
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12
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Hofmarcher T, Lindgren P, Wilking N. Systemic anti-cancer therapy patterns in advanced non-small cell lung cancer in Europe. J Cancer Policy 2022; 34:100362. [PMID: 36087918 DOI: 10.1016/j.jcpo.2022.100362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 09/02/2022] [Accepted: 09/05/2022] [Indexed: 10/14/2022]
Abstract
BACKGROUND Systemic anti-cancer therapy (SACT) is the recommended treatment modality in patients with advanced non-small cell lung cancer (aNSCLC) in clinical guidelines. SACT options in aNSCLC have multiplied in recent years with the introduction of immunotherapy and targeted therapy. This article presents findings from the first comparative analysis of SACT patterns in Europe. METHODS SACT rates in aNSCLC were estimated as the ratio between the number of patients treated with SACT (chemotherapy, immunotherapy, targeted therapy) and the number of potentially eligible patients for SACT in 11 countries (Belgium, Bulgaria, Finland, Hungary, Ireland, Netherlands, Norway, Poland, Portugal, Romania, UK) between 2014 and 2020. Treated patients were estimated by combining national sales volume data of cancer drugs and average drug use per patient based on clinical trials. Potentially eligible patients were estimated from national epidemiological data. RESULTS SACT rates in aNSCLC differed greatly, ranging from around 30 % in Hungary, Poland, and the UK to almost 60 % in Ireland, Norway, and Portugal in 2014. SACT rates seemed to increase over time in most countries, but differences were still large by 2020, ranging from around 40 % in the UK to 75 % or more in Belgium, Norway, and Portugal. Even in countries with the highest SACT rates, far from all patients seemed to receive guideline-recommended SACT options, as underuse of immunotherapy and targeted therapy was common. CONCLUSION Up to 35 % of eligible patients with aNSCLC receives no SACT in certain European countries, although improvements have been achieved over time. The use of immunotherapy and targeted therapy is suboptimal even in countries with high SACT rates, indicating room to improve the quality of care and patient outcomes. POLICY SUMMARY Measuring if and what kind of therapy cancer patients have access to is vital to assess quality of care. The care of aNSCLC patients seems to be suboptimal in Europe, due to factors such as exclusion of patients with moderate performance status from SACT, limited resources for diagnostic testing, long reimbursement timelines and slow adoption of new medicines in clinical practice.
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Affiliation(s)
- Thomas Hofmarcher
- IHE - The Swedish Institute for Health Economics, Råbygatan 2, SE-22361, Lund, Sweden.
| | - Peter Lindgren
- IHE - The Swedish Institute for Health Economics, Råbygatan 2, SE-22361, Lund, Sweden; Karolinska Institutet, Solnavägen 1, SE-17177, Solna, Sweden
| | - Nils Wilking
- Karolinska Institutet, Solnavägen 1, SE-17177, Solna, Sweden
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13
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Kops SEP, Verhoeven RLJ, Vermeulen RJ, Rovers MM, van der Heijden EHFM, Govers TM. Cone beam CT-guided navigation bronchoscopy: a cost-effective alternative to CT-guided transthoracic biopsy for diagnosis of peripheral pulmonary nodules. BMJ Open Respir Res 2022. [PMCID: PMC9445795 DOI: 10.1136/bmjresp-2022-001280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
ObjectivesTo determine if cone beam CT-guided navigation bronchoscopy (CBCT-NB) is a cost-effective diagnostic procedure in patients with a pulmonary nodule (PN) with an intermediate risk for lung cancer.Materials and methodsTwo decision analytical models were developed to compare the long-term costs, survival and quality of life. In the first model, CBCT-NB was compared with CT-guided transthoracic needle biopsy (TTNB) in TTNB eligible patients. In the second model, CBCT-NB was compared with direct treatment (without pathology proven lung cancer) in patients for whom TTNB is not suitable. Input data were gathered in-house, from literature and expert opinion. Effects were expressed in quality-adjusted life years (QALYs). Sensitivity analyses were used to assess uncertainty.ResultsCBCT-NB can be cost-effective in TTNB eligible patients with an incremental cost-effectiveness ratio of €18 416 in an expert setting. The probabilistic sensitivity analysis showed that in 69% and 90% of iterations CBCT-NB remained cost-effective assuming a willingness to pay (WTP) of €20 000 and €80 000 per QALY. CBCT-NB dominated in the treatment strategy in which TTNB is not suitable. The probabilistic sensitivity analysis showed that in 95% of iterations CBCT-NB remained the dominant strategy, and CBCT-NB remained cost-effective in 100% of iterations assuming a WTP limit of €20 000. In the comparison between CBCT NB and TTNB, the deterministic sensitivity analysis showed that the diagnostic properties and costs of both procedures have a large impact on the outcome.ConclusionsCBCT-NB seems a cost-effective procedure when compared with TTNB and when compared with a direct treatment strategy in patients with an intermediate risk PN.
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Affiliation(s)
- Stephan E P Kops
- Department of Pulmonary Diseases, Radboudumc, Nijmegen, The Netherlands
| | | | - Robin J Vermeulen
- Department of Medical Imaging, Radboudumc, Nijmegen, The Netherlands
| | - Maroeska M Rovers
- Department of Medical Imaging, Radboudumc, Nijmegen, The Netherlands
| | | | - Tim M Govers
- Department of Medical Imaging, Radboudumc, Nijmegen, The Netherlands
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14
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Smith S, Brand M, Harden S, Briggs L, Leigh L, Brims F, Brooke M, Brunelli VN, Chia C, Dawkins P, Lawrenson R, Duffy M, Evans S, Leong T, Marshall H, Patel D, Pavlakis N, Philip J, Rankin N, Singhal N, Stone E, Tay R, Vinod S, Windsor M, Wright GM, Leong D, Zalcberg J, Stirling RG. Development of an Australia and New Zealand Lung Cancer Clinical Quality Registry: a protocol paper. BMJ Open 2022; 12:e060907. [PMID: 36038161 PMCID: PMC9438055 DOI: 10.1136/bmjopen-2022-060907] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
INTRODUCTION Lung cancer is the leading cause of cancer mortality, comprising the largest national cancer disease burden in Australia and New Zealand. Regional reports identify substantial evidence-practice gaps, unwarranted variation from best practice, and variation in processes and outcomes of care between treating centres. The Australia and New Zealand Lung Cancer Registry (ANZLCR) will be developed as a Clinical Quality Registry to monitor the safety, quality and effectiveness of lung cancer care in Australia and New Zealand. METHODS AND ANALYSIS Patient participants will include all adults >18 years of age with a new diagnosis of non-small-cell lung cancer (NSCLC), SCLC, thymoma or mesothelioma. The ANZLCR will register confirmed diagnoses using opt-out consent. Data will address key patient, disease, management processes and outcomes reported as clinical quality indicators. Electronic data collection facilitated by local data collectors and local, state and federal data linkage will enhance completeness and accuracy. Data will be stored and maintained in a secure web-based data platform overseen by registry management. Central governance with binational representation from consumers, patients and carers, governance, administration, health department, health policy bodies, university research and healthcare workers will provide project oversight. ETHICS AND DISSEMINATION The ANZLCR has received national ethics approval under the National Mutual Acceptance scheme. Data will be routinely reported to participating sites describing performance against measures of agreed best practice and nationally to stakeholders including federal, state and territory departments of health. Local, regional and (bi)national benchmarks, augmented with online dashboard indicator reporting will enable local targeting of quality improvement efforts.
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Affiliation(s)
- Shantelle Smith
- Department of Epidemiology and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Margaret Brand
- Department of Epidemiology and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Susan Harden
- Department of Epidemiology and Preventive Medicine, Monash University, Clayton, Victoria, Australia
- Department of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Lisa Briggs
- Victorian Lung Cancer Registry, Monash University, Clayton, Victoria, Australia
| | - Lillian Leigh
- Victorian Lung Cancer Registry, Monash University, Clayton, Victoria, Australia
| | - Fraser Brims
- Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
| | - Mark Brooke
- Lung Foundation Australia, Milton, Queensland, Australia
| | - Vanessa N Brunelli
- Faculty of Health, School of Nursing, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Collin Chia
- Department of Respiratory Medicine, Launceston General Hospital, Launceston, Tasmania, Australia
| | - Paul Dawkins
- Department of Respiratory Medicine, Middlemore Hospital, Auckland, New Zealand
| | - Ross Lawrenson
- Waikato Medical Research Centre, University of Waikato, Hamilton, Waikato, New Zealand
- Strategy and Funding, Waikato District Health Board, Hamilton, New Zealand
| | - Mary Duffy
- Lung Cancer Service, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Sue Evans
- Victorian Cancer Registry, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Tracy Leong
- Department of Respiratory and Sleep Medicine, Austin Health, Heidelberg, Victoria, Australia
| | - Henry Marshall
- Department of Thoracic Medicine, The Prince Charles Hospital, Chermside, Queensland, Australia
| | - Dainik Patel
- Department of Medical Oncology, Lyell McEwin Hospital, Elizabeth Vale, South Australia, Australia
| | - Nick Pavlakis
- Medical Oncology, Genesis Care and University of Sydney, Sydney, New South Wales, Australia
| | - Jennifer Philip
- Department of Medicine, Univ Melbourne, Fitzroy, Victoria, Australia
| | - Nicole Rankin
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Nimit Singhal
- Department of Medicine, University of Adelaide, Adelaide, South Australia, Australia
| | - Emily Stone
- School of Clinical Medicine, University NSW, Sydney, Victoria, Australia
| | - Rebecca Tay
- Department of Medical Oncology, The Royal Hobart Hospital, Hobart, Tasmania, Australia
| | - Shalini Vinod
- Cancer Therapy Centre, Liverpool Hospital, Liverpool, New South Wales, Australia
| | - Morgan Windsor
- Department of Thoracic Surgery, Prince Charles and Royal Brisbane Hospital, Brisbane, Queensland, Australia
| | - Gavin M Wright
- Department of Surgery, Cardiothoracic Surgery Unit, St Vincent, Victoria, Australia
| | - David Leong
- Department of Medical Oncology, John James Medical Centre Deakin, Canberra, Australian Capital Territory, Australia
| | - John Zalcberg
- Cancer Research Program, Monash University, Melbourne, Victoria, Australia
| | - Rob G Stirling
- Department of Medicine, Monash University, Clayton, Victoria, Australia
- Respiratory Medicine, Alfred Hospital, Melbourne, Victoria, Australia
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15
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Batumalai V, Descallar J, Gabriel G, Delaney GP, Oar A, Barton MB, Vinod SK. Patterns of curative treatment for non-small cell lung cancer in New South Wales, Australia. Asia Pac J Clin Oncol 2022; 19:e149-e159. [PMID: 35844037 DOI: 10.1111/ajco.13811] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 06/02/2022] [Accepted: 06/13/2022] [Indexed: 01/16/2023]
Abstract
INTRODUCTION There is a lack of large population-based studies examining patterns of curative treatment for non-small cell lung cancer (NSCLC) in Australia. This study aimed to evaluate the utilization of curative treatment for NCSLC at a population level and identify factors associated with its use in New South Wales (NSW), Australia. METHODS Patients diagnosed with localized or locoregional NSCLC between 2009 and 2014 were identified from the NSW Central Cancer Registry. Curative treatment was defined as surgery or radiotherapy with a 45 Gy minimum dose. Univariate and multivariable analyses were performed to investigate factors associated with the receipt of curative treatment. A Cox proportional-hazards regression model was used to analyze the factors associated with 2-year overall survival (OS). RESULTS Of the 5722 patients diagnosed with NSCLC in the study period, 3355 (59%) patients received curative treatment and 2367 (41%) patients did not receive curative treatment. The receipt of curative treatment was significantly associated with younger patients, female gender, localized disease, and Charlson Comorbidity Index (CCI) = 0. The use of curative treatment increased significantly over time from 2009 (55%) to 2014 (63%) and varied significantly from 24% to 70% between local health districts (LHDs) of residence. Younger age, female gender, localized disease, CCI = 0, and overseas country of birth were significantly associated with 2-year OS. The 2-year OS significantly improved from 70% in 2009 to 77% in 2014 for patients who received curative treatment. CONCLUSION The use of curative treatment for patients with potentially curable NSCLC was low at 59%. However, the use of curative treatment and survival have increased over time. Significant variation was noted in the use of curative treatment between LHDs.
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Affiliation(s)
- Vikneswary Batumalai
- Collaboration for Cancer Outcomes, Research and Evaluation, Ingham Institute for Applied Medical Research, South Western Clinical School, University of New South Wales, New South Wales, Australia.,GenesisCare, Alexandria, New South Wales, Australia
| | - Joseph Descallar
- Collaboration for Cancer Outcomes, Research and Evaluation, Ingham Institute for Applied Medical Research, South Western Clinical School, University of New South Wales, New South Wales, Australia
| | - Gabriel Gabriel
- Collaboration for Cancer Outcomes, Research and Evaluation, Ingham Institute for Applied Medical Research, South Western Clinical School, University of New South Wales, New South Wales, Australia
| | - Geoff P Delaney
- Collaboration for Cancer Outcomes, Research and Evaluation, Ingham Institute for Applied Medical Research, South Western Clinical School, University of New South Wales, New South Wales, Australia.,Department of Radiation Oncology, South Western Sydney Local Health District, New South Wales, Australia
| | - Andrew Oar
- Icon Cancer Centre, Gold Coast University Hospital, Gold Coast, Australia
| | - Michael B Barton
- Collaboration for Cancer Outcomes, Research and Evaluation, Ingham Institute for Applied Medical Research, South Western Clinical School, University of New South Wales, New South Wales, Australia.,Department of Radiation Oncology, South Western Sydney Local Health District, New South Wales, Australia
| | - Shalini K Vinod
- Collaboration for Cancer Outcomes, Research and Evaluation, Ingham Institute for Applied Medical Research, South Western Clinical School, University of New South Wales, New South Wales, Australia.,Department of Radiation Oncology, South Western Sydney Local Health District, New South Wales, Australia
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16
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Ismail RK, van Breeschoten J, van der Flier S, van Loosen C, Pasmooij AMG, van Dartel M, van den Eertwegh A, de Boer A, Wouters M, Hilarius D. Medication Use and Clinical Outcomes by the Dutch Institute for Clinical Auditing Medicines Program: Quantitative Analysis. J Med Internet Res 2022; 24:e33446. [PMID: 35737449 PMCID: PMC9264125 DOI: 10.2196/33446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 04/06/2022] [Accepted: 04/30/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The Dutch Institute for Clinical Auditing (DICA) Medicines Program was set up in September 2018 to evaluate expensive medicine use in daily practice in terms of real-world effectiveness using only existing data sources. OBJECTIVE The aim of this study is to describe the potential of the addition of declaration data to quality registries to provide participating centers with benchmark information about the use of medicines and outcomes among patients. METHODS A total of 3 national population-based registries were linked to clinical and financial data from the hospital pharmacy, the Dutch diagnosis treatment combinations information system including in-hospital activities, and survival data from health care insurers. The first results of the real-world data (RWD) linkage are presented using descriptive statistics to assess patient, tumor, and treatment characteristics. Time-to-next-treatment (TTNT) and overall survival (OS) were estimated using the Kaplan-Meier method. RESULTS A total of 21 Dutch hospitals participated in the DICA Medicines Program, which included 7412 patients with colorectal cancer, 1981 patients with metastasized colon cancer, 3860 patients with lung cancer, 1253 patients with metastasized breast cancer, and 7564 patients with rheumatic disease. The data were used for hospital benchmarking to gain insights into medication use in specific patient populations, treatment information, clinical outcomes, and costs. Detailed treatment information (duration and treatment steps) led to insights into differences between hospitals in daily clinical practices. Furthermore, exploratory analyses on clinical outcomes (TTNT and OS) were possible. CONCLUSIONS The DICA Medicines Program shows that it is possible to gather and link RWD about medicines to 4 disease-specific population-based registries. Since these RWD became available with minimal registration burden and effort for hospitals, this method can be explored in other population-based registries to evaluate real-world efficacy.
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Affiliation(s)
- Rawa Kamaran Ismail
- Division of Pharmacoepidemiology and Clinical Pharmacology, University of Utrecht, Utrecht, Netherlands
| | | | | | | | | | | | - Alfons van den Eertwegh
- Department of Medical Oncology, Amsterdam University Medical Center, location VUmc, Amsterdam, Netherlands
| | - Anthonius de Boer
- Division of Pharmacoepidemiology and Clinical Pharmacology, University of Utrecht, Utrecht, Netherlands
| | - Michel Wouters
- Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, Netherlands
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Harden SV, Chiew KL, Millar J, Vinod SK. Quality indicators for radiation oncology. J Med Imaging Radiat Oncol 2022; 66:249-257. [PMID: 35243788 PMCID: PMC9310822 DOI: 10.1111/1754-9485.13373] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 12/05/2021] [Indexed: 11/27/2022]
Abstract
Quality Indicators, based on clinical practice guidelines, have been used in medicine and within oncology to measure quality of care for over twenty years. However, radiation oncology quality indicators are sparse. This article describes the background to the development of current national and international, general and tumour site‐specific radiation oncology quality indicators in use. We explore challenges and opportunities to expand their routine prospective collection and feedback to help drive improvements in the quality of care received by people undergoing radiation therapy.
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Affiliation(s)
- Susan V Harden
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Kim-Lin Chiew
- Macarthur Cancer Therapy Centre, Campbelltown Hospital, Campbelltown, New South Wales, Australia.,South Western Sydney Clinical School, UNSW Ingham Institute for Applied Medical Research, Liverpool, New South Wales, Australia
| | - Jeremy Millar
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.,Radiation Oncology, Alfred Health, Melbourne, Victoria, Australia
| | - Shalini K Vinod
- South Western Sydney Clinical School, UNSW Ingham Institute for Applied Medical Research, Liverpool, New South Wales, Australia.,Cancer Therapy Centre, Liverpool Hospital, Liverpool, New South Wales, Australia
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Relationship between Treatment Plan Dosimetry, Toxicity, and Survival following Intensity-Modulated Radiotherapy, with or without Chemotherapy, for Stage III Inoperable Non-Small Cell Lung Cancer. Cancers (Basel) 2021; 13:cancers13235923. [PMID: 34885034 PMCID: PMC8657053 DOI: 10.3390/cancers13235923] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 11/20/2021] [Accepted: 11/22/2021] [Indexed: 12/25/2022] Open
Abstract
Simple Summary Various radiotherapy treatment methods are available for patients with stage III non-small-cell lung cancer (NSCLC). A multidisciplinary tumor board review is recommended to determine the best treatment strategy. In fit patients with inoperable tumors, concurrent chemoradiotherapy (cCRT) is preferred over sequential CRT (sCRT), due to better survival. Nonetheless, the use of cCRT in stage III NSCLC varies significantly, with concerns about treatment toxicity being a contributory factor. Many reports describing the relationship between overall survival, toxicity, and dosimetry in patients with locally advanced NSCLC are based on clinical trials, with strict criteria for patient selection, including good performance status, pulmonary function, etc. These trials have not always mandated the use of IMRT/VMAT. We therefore performed an institutional analysis to study the relationship between dosimetric parameters and overall survival and toxicity in patients with stage III NSCLC treated with IMRT/VMAT-based techniques in routine clinical practice. Abstract Concurrent chemoradiotherapy (cCRT) is the preferred treatment for stage III NSCLC because surgery containing multimodality treatment is often not appropriate. Alternatives, often for less fit patients, include sequential CRT and RT alone. Many reports describing the relationship between overall survival (OS), toxicity, and dosimetry are based on clinical trials, with strict criteria for patient selection. We performed an institutional analysis to study the relationship between dosimetric parameters, toxicity, and OS in inoperable patients with stage III NSCLC treated with (hybrid) IMRT/VMAT-based techniques in routine clinical practice. Eligible patients had undergone treatment with radical intent using cCRT, sCRT, or RT alone, planned to a total dose ≥ 50 Gy delivered in ≥15 fractions. All analyses were performed for two patient groups, (1) cCRT (n = 64) and (2) sCRT/RT (n = 65). The toxicity rate differences between the two groups were not significant, and OS was 29 and 17 months, respectively. For sCRT/RT, no dosimetric factors were associated with OS, whereas for cCRT, PTV-volume, esophagus V50 Gy, and contralateral lung V5 Gy were associated. cCRT OS was significantly lower in patients with esophagitis ≥ G2. The overall rate of ≥G3 pneumonitis was low (3%), and the rate of high-grade esophagitis the OS in this real-world patient population was comparable to those reported in clinical trials. Based on this hypothesis-generating data, more aggressive esophageal sparing merits consideration. Institutional auditing and benchmarking of the planning strategy, dosimetry, and outcome have an important role to play in the continuous quality improvement process.
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van Breeschoten J, Ismail R, Smit H, Schuurbiers O, Schramel F. An invisible group of COVID-19 victims; impact on Dutch lung cancer care. Lung Cancer 2021; 159:177-178. [PMID: 34303539 PMCID: PMC8288226 DOI: 10.1016/j.lungcan.2021.06.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 06/26/2021] [Indexed: 11/17/2022]
Affiliation(s)
- Jesper van Breeschoten
- Dutch Institute for Clinical Auditing, Rijnsburgerweg 10, Leiden 2333AA, the Netherlands; Department of Medical Oncology, Amsterdam UMC, VU University Medical Center, Cancer Center Amsterdam, De Boelelaan 1118, Amsterdam 1081HZ, the Netherlands.
| | - Rawa Ismail
- Dutch Institute for Clinical Auditing, Rijnsburgerweg 10, Leiden 2333AA, the Netherlands; Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht, the Netherlands
| | - Hans Smit
- Department of Pulmonary Diseases, Rijnstate Hospital, Arnhem, the Netherlands
| | - Olga Schuurbiers
- Department of Pulmonary Diseases, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Franz Schramel
- Department of Pulmonary Diseases, St Antonius Hospital, Utrecht/Nieuwegein, the Netherlands
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Ronden MI, Bahce I, Claessens NJ, Barlo N, Dahele MR, Daniels JM, Tissing-Tan C, Hekma E, Hashemi SM, van der Wel A, Spoelstra FO, Verbakel WFR, Tiemessen MA, van Laren M, Becker A, Tarasevych S, Haasbeek CJ, Maassen van den Brink K, Dickhoff C, Senan S. The Impact of the Availability of Immunotherapy on Patterns of Care in Stage III NSCLC: A Dutch Multicenter Analysis. JTO Clin Res Rep 2021; 2:100195. [PMID: 34590040 PMCID: PMC8474425 DOI: 10.1016/j.jtocrr.2021.100195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 05/02/2021] [Accepted: 05/25/2021] [Indexed: 11/24/2022] Open
Abstract
INTRODUCTION Treatment patterns in stage III NSCLC can vary considerably between countries. The PACIFIC trial reported improvements in progression-free and overall survival with adjuvant durvalumab after concurrent chemoradiotherapy (CCRT). We studied treatment decision-making by three Dutch regional thoracic multidisciplinary tumor boards between 2015 and 2019, to identify changes in practice when adjuvant durvalumab became available. METHODS Details of patients presenting with stage III NSCLC were retrospectively collected. Both CCRT and multimodality schemes incorporating planned surgery were defined as being radical-intent treatment (RIT). RESULTS Of 855 eligible patients, most (95%) were discussed at a thoracic multidisciplinary tumor board, which recommended a RIT in 63% (n = 510). Only 52% (n = 424) of the patients finally received a RIT. Predictors for not recommending RIT were age greater than or equal to 70 years, WHO performance score greater than or equal to 2, Charlson comorbidity index greater than or equal to 2 (excluding age), forced expiratory volume in 1 second less than 80% of predicted value, N3 disease, and period of diagnosis. Between 2015 to 2017 and 2018 to 2019, the proportion of patients undergoing CCRT increased from 34% to 42% (p = 0.02) and use of sequential chemoradiotherapy declined (21%-16%, p = 0.05). Rates of early toxicity and 1-year mortality were comparable for both periods. After 2018, 57% of the patients who underwent CCRT (90 of 159) received adjuvant durvalumab. CONCLUSIONS After publication of the PACIFIC trial, a significant increase was observed in the use of CCRT for patients with stage III NSCLC with rates of early toxicity and mortality being unchanged. Since 2018, 57% of the patients undergoing CCRT went on to receive adjuvant durvalumab. Nevertheless, approximately half of the patients were still considered unfit for a RIT.
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Affiliation(s)
- Merle I. Ronden
- Department of Radiation Oncology, Amsterdam UMC, Amsterdam, the Netherlands
- Department of Pulmonology, Amsterdam UMC, Amsterdam, the Netherlands
| | - Idris Bahce
- Department of Pulmonology, Amsterdam UMC, Amsterdam, the Netherlands
| | | | - Nicole Barlo
- Department of Pulmonology, Noordwest Ziekenhuisgroep, Alkmaar, the Netherlands
| | - Max R. Dahele
- Department of Radiation Oncology, Amsterdam UMC, Amsterdam, the Netherlands
| | | | | | - Edo Hekma
- Department of Surgery, Rijnstate Ziekenhuis, Arnhem, the Netherlands
| | | | | | | | | | - Marian A. Tiemessen
- Department of Pulmonology, Dijklander Ziekenhuis, Hoorn & Purmerend, the Netherlands
| | - Marjolein van Laren
- Department of Pulmonology, Dijklander Ziekenhuis, Hoorn & Purmerend, the Netherlands
| | - Annemarie Becker
- Department of Pulmonology, Amsterdam UMC, Amsterdam, the Netherlands
| | | | | | | | - Chris Dickhoff
- Department of Surgery, Amsterdam UMC, Amsterdam, the Netherlands
| | - Suresh Senan
- Department of Radiation Oncology, Amsterdam UMC, Amsterdam, the Netherlands
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