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      Risk factors for early mortality from lung cancer: evolution over the last 20 years in the French nationwide KBP cohorts

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          Abstract

          Background

          The impact of the most recent advances, including targeted therapies and immune checkpoint inhibitors, on early (3-month) mortality in lung cancer is unknown. The aims of this study were to evaluate the real-world rate of and risk factors for early mortality, as well as trends in early mortality over the last 20 years.

          Materials and methods

          The KBP prospective observational multicenter studies have been conducted every 10 years since 2000. These studies collect data on all newly diagnosed patients with lung cancer (all stages and histologies) over 1 year in non-academic public hospital pulmonology or oncology units in France. In this study, we analyzed data on patient and tumor characteristics from participants in the KBP-2020 cohort and compared the characteristics of patients who died within 3 months of diagnosis with those of all other patients within the cohort. We also carried out a comparative analysis with the KBP-2000 and KBP-2010 cohorts.

          Results

          Overall, 8999 patients from 82 centers were included in the KBP-2020 cohort. Three-month survival data were available for 8827 patients, of whom 1792 (20.3%) had died. Risk factors for early mortality were: male sex, age >70 years, symptomatic disease at diagnosis, ever smoker, weight loss >10 kg, poor Eastern Cooperative Oncology Group performance status (≥1), large-cell carcinoma or not otherwise specified, and stage ≥IIIC disease. The overall 3-month mortality rate was found to have decreased significantly over the last 20 years, from 24.7% in KBP-2000 to 23.4% in KBP-2010 and 20.3% in KBP-2020 ( P < 0.0001).

          Conclusion

          Early mortality among patients with lung cancer has significantly decreased over the last 20 years which may reflect recent improvements in treatments. However, early mortality remained extremely high in 2020, particularly when viewed in light of improvements in longer-term survival. Delays in lung cancer diagnosis and management could contribute to this finding.

          Highlights

          • Of 8827 patients with lung cancer included in the KBP-2020 study, 1792 (20.3%) were dead at 3 months after diagnosis.

          • Early mortality in LC patients has decreased significantly over the last 20 years but remained extremely high in 2020.

          • Risk factors for 3-month mortality were similar to those reported in other studies.

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          Most cited references25

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          Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

          This article provides an update on the global cancer burden using the GLOBOCAN 2020 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer. Worldwide, an estimated 19.3 million new cancer cases (18.1 million excluding nonmelanoma skin cancer) and almost 10.0 million cancer deaths (9.9 million excluding nonmelanoma skin cancer) occurred in 2020. Female breast cancer has surpassed lung cancer as the most commonly diagnosed cancer, with an estimated 2.3 million new cases (11.7%), followed by lung (11.4%), colorectal (10.0 %), prostate (7.3%), and stomach (5.6%) cancers. Lung cancer remained the leading cause of cancer death, with an estimated 1.8 million deaths (18%), followed by colorectal (9.4%), liver (8.3%), stomach (7.7%), and female breast (6.9%) cancers. Overall incidence was from 2-fold to 3-fold higher in transitioned versus transitioning countries for both sexes, whereas mortality varied <2-fold for men and little for women. Death rates for female breast and cervical cancers, however, were considerably higher in transitioning versus transitioned countries (15.0 vs 12.8 per 100,000 and 12.4 vs 5.2 per 100,000, respectively). The global cancer burden is expected to be 28.4 million cases in 2040, a 47% rise from 2020, with a larger increase in transitioning (64% to 95%) versus transitioned (32% to 56%) countries due to demographic changes, although this may be further exacerbated by increasing risk factors associated with globalization and a growing economy. Efforts to build a sustainable infrastructure for the dissemination of cancer prevention measures and provision of cancer care in transitioning countries is critical for global cancer control.
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            The Effect of Advances in Lung-Cancer Treatment on Population Mortality

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              Mortality due to cancer treatment delay: systematic review and meta-analysis

              Abstract Objective To quantify the association of cancer treatment delay and mortality for each four week increase in delay to inform cancer treatment pathways. Design Systematic review and meta-analysis. Data sources Published studies in Medline from 1 January 2000 to 10 April 2020. Eligibility criteria for selecting studies Curative, neoadjuvant, and adjuvant indications for surgery, systemic treatment, or radiotherapy for cancers of the bladder, breast, colon, rectum, lung, cervix, and head and neck were included. The main outcome measure was the hazard ratio for overall survival for each four week delay for each indication. Delay was measured from diagnosis to first treatment, or from the completion of one treatment to the start of the next. The primary analysis only included high validity studies controlling for major prognostic factors. Hazard ratios were assumed to be log linear in relation to overall survival and were converted to an effect for each four week delay. Pooled effects were estimated using DerSimonian and Laird random effect models. Results The review included 34 studies for 17 indications (n=1 272 681 patients). No high validity data were found for five of the radiotherapy indications or for cervical cancer surgery. The association between delay and increased mortality was significant (P<0.05) for 13 of 17 indications. Surgery findings were consistent, with a mortality risk for each four week delay of 1.06-1.08 (eg, colectomy 1.06, 95% confidence interval 1.01 to 1.12; breast surgery 1.08, 1.03 to 1.13). Estimates for systemic treatment varied (hazard ratio range 1.01-1.28). Radiotherapy estimates were for radical radiotherapy for head and neck cancer (hazard ratio 1.09, 95% confidence interval 1.05 to 1.14), adjuvant radiotherapy after breast conserving surgery (0.98, 0.88 to 1.09), and cervix cancer adjuvant radiotherapy (1.23, 1.00 to 1.50). A sensitivity analysis of studies that had been excluded because of lack of information on comorbidities or functional status did not change the findings. Conclusions Cancer treatment delay is a problem in health systems worldwide. The impact of delay on mortality can now be quantified for prioritisation and modelling. Even a four week delay of cancer treatment is associated with increased mortality across surgical, systemic treatment, and radiotherapy indications for seven cancers. Policies focused on minimising system level delays to cancer treatment initiation could improve population level survival outcomes.
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                Author and article information

                Contributors
                Journal
                ESMO Open
                ESMO Open
                ESMO Open
                Elsevier
                2059-7029
                07 June 2024
                June 2024
                07 June 2024
                : 9
                : 6
                : 103594
                Affiliations
                [1 ]Department of Pneumology, GHRMSA, Hôpital Emile Muller, Mulhouse
                [2 ]Department of Pneumology, CH Avranches-Granville, Granville
                [3 ]Department of Pneumology, Centre Hospitalier du Pays d’Aix, Aix-en-Provence
                [4 ]Department of Pneumology, Centre Hospitalier de Saint-Brieuc, Saint-Brieuc
                [5 ]Department of Pneumology, Établissement de santé MGEN Sainte-Feyre, Sainte-Feyre
                [6 ]Department of Pneumology, Centre Hospitalier Alpes-Leman, Contamine-sur-Arve
                [7 ]Department of Pneumology, Centre Hospitalier Bretagne Atlantique, Guillaudot, Vannes
                [8 ]Department of Pneumology, Centre Hospitalier des Pays de Morlaix, Morlaix
                [9 ]Department of Pneumology, Centre François Baclesse, Caen
                [10 ]Department of Pneumology, Centre Hospitalier de Saint-Malo, Saint-Malo
                [11 ]Department of Pneumology, Centre Hospitalier de Béziers, Béziers
                [12 ]Department of Pneumology, Centre Hospitalier d’Arras, Arras
                [13 ]Department of Pneumology, Centre Hospitalier de Cholet, Cholet
                [14 ]Department of Pneumology, Centre Hospitalier Eure-Seine, Évreux
                [15 ]Department of Pneumology, CHI Elbeuf Louviers Val de Reuil, Saint-Aubin-lès-Elbeuf
                [16 ]Department of Pneumology, Centre Hospitalier Régional D’orléans, Hôpital de La Source, Orléans, France
                Author notes
                [] Correspondence to: Dr Didier Debieuvre, Service de Pneumologie, GHRMSA, Hôpital Emile Muller, 20 rue du Dr Laënnec, BP 1370, 68070 Mulhouse CEDEX, France debieuvred@ 123456ghrmsa.fr
                [†]

                The members of the Study Group are listed in the Acknowledgements.

                Article
                S2059-7029(24)01363-2 103594
                10.1016/j.esmoop.2024.103594
                11214995
                38848661
                d70b49d5-12b8-4bf4-b489-4077bb9dc8c6
                © 2024 The Author(s)

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                Categories
                Original Research

                early mortality,lung cancer,mortality rate,non-small-cell lung cancer,risk factor

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