001     288861
005     20241031113930.0
024 7 _ |a 10.3389/fpubh.2024.1307427
|2 doi
024 7 _ |a pmid:38454984
|2 pmid
024 7 _ |a pmc:PMC10919152
|2 pmc
024 7 _ |a altmetric:159815739
|2 altmetric
037 _ _ |a DKFZ-2024-00508
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Lwin, Min Wai
|0 P:(DE-He78)cfea723e04704e21f1e1a442c95f25bf
|b 0
|e First author
|u dkfz
245 _ _ |a Would initiating colorectal cancer screening from age of 45 be cost-effective in Germany? An individual-level simulation analysis.
260 _ _ |a Lausanne
|c 2024
|b Frontiers Media
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1710162748_7413
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a #EA:C100#LA:C100#
520 _ _ |a Colorectal cancer (CRC) screening has been shown to be effective and cost-saving. However, the trend of rising incidence of early-onset CRC challenges the current national screening program solely for people ≥50 years in Germany, where extending the screening to those 45-49 years might be justified. This study aims to evaluate the cost-effectiveness of CRC screening strategies starting at 45 years in Germany.DECAS, an individual-level simulation model accounting for both adenoma and serrated pathways of CRC development and validated with German CRC epidemiology and screening effects, was used for the cost-effectiveness analysis. Four CRC screening strategies starting at age 45, including 10-yearly colonoscopy (COL), annual/biennial fecal immunochemical test (FIT), or the combination of the two, were compared with the current screening offer starting at age 50 years in Germany. Three adherence scenarios were considered: perfect adherence, current adherence, and high screening adherence. For each strategy, a cohort of 100,000 individuals with average CRC risk was simulated from age 20 until 90 or death. Outcomes included CRC cases averted, prevented death, quality-adjusted life-years gained (QALYG), and total incremental costs considering both CRC treatment and screening costs. A 3% discount rate was applied and costs were in 2023 Euro.Initiating 10-yearly colonoscopy-only or combined FIT + COL strategies at age 45 resulted in incremental gains of 7-28 QALYs with incremental costs of €28,360-€71,759 per 1,000 individuals, compared to the current strategy. The ICER varied from €1,029 to €9,763 per QALYG, and the additional number needed for colonoscopy ranged from 129 to 885 per 1,000 individuals. Among the alternatives, a three times colonoscopy strategy starting at 45 years of age proves to be the most effective, while the FIT-only strategy was dominated by the currently implemented strategy. The findings remained consistent across probabilistic sensitivity analyses.The cost-effectiveness findings support initiating CRC screening at age 45 with either colonoscopy alone or combined with FIT, demonstrating substantial gains in quality-adjusted life-years with a modest increase in costs. Our findings emphasize the importance of implementing CRC screening 5 years earlier than the current practice to achieve more significant health and economic benefits.
536 _ _ |a 313 - Krebsrisikofaktoren und Prävention (POF4-313)
|0 G:(DE-HGF)POF4-313
|c POF4-313
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
650 _ 7 |a CRC
|2 Other
650 _ 7 |a cancer screening
|2 Other
650 _ 7 |a colorectal cancer
|2 Other
650 _ 7 |a cost-effectiveness
|2 Other
650 _ 7 |a discrete event simulation
|2 Other
650 _ 7 |a early-onset CRC
|2 Other
650 _ 7 |a modeling
|2 Other
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Middle Aged
|2 MeSH
650 _ 2 |a Young Adult
|2 MeSH
650 _ 2 |a Adult
|2 MeSH
650 _ 2 |a Cost-Effectiveness Analysis
|2 MeSH
650 _ 2 |a Cost-Benefit Analysis
|2 MeSH
650 _ 2 |a Early Detection of Cancer: methods
|2 MeSH
650 _ 2 |a Colorectal Neoplasms: diagnosis
|2 MeSH
650 _ 2 |a Colorectal Neoplasms: prevention & control
|2 MeSH
650 _ 2 |a Colonoscopy
|2 MeSH
700 1 _ |a Cheng, Chih-Yuan
|0 P:(DE-He78)d2944f54ead34dbf6fb03e359225a1b9
|b 1
700 1 _ |a Calderazzo, Silvia
|0 P:(DE-He78)b5d9469407737829d5348adb615655c6
|b 2
|u dkfz
700 1 _ |a Schramm, Christoph
|b 3
700 1 _ |a Schlander, Michael
|0 P:(DE-He78)1f315d09721b91091df1ba78eb65cbaf
|b 4
|e Last author
|u dkfz
773 _ _ |a 10.3389/fpubh.2024.1307427
|g Vol. 12, p. 1307427
|0 PERI:(DE-600)2711781-9
|p 1307427
|t Frontiers in Public Health
|v 12
|y 2024
|x 2296-2565
856 4 _ |u https://inrepo02.dkfz.de/record/288861/files/fpubh-12-1307427.pdf
856 4 _ |u https://inrepo02.dkfz.de/record/288861/files/fpubh-12-1307427.pdf?subformat=pdfa
|x pdfa
909 C O |o oai:inrepo02.dkfz.de:288861
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 0
|6 P:(DE-He78)cfea723e04704e21f1e1a442c95f25bf
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 1
|6 P:(DE-He78)d2944f54ead34dbf6fb03e359225a1b9
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 2
|6 P:(DE-He78)b5d9469407737829d5348adb615655c6
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 4
|6 P:(DE-He78)1f315d09721b91091df1ba78eb65cbaf
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-313
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Krebsrisikofaktoren und Prävention
|x 0
914 1 _ |y 2024
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b FRONT PUBLIC HEALTH : 2022
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2023-01-12T14:15:14Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2023-01-12T14:15:14Z
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Anonymous peer review
|d 2023-01-12T14:15:14Z
915 _ _ |a Creative Commons Attribution CC BY (No Version)
|0 LIC:(DE-HGF)CCBYNV
|2 V:(DE-HGF)
|b DOAJ
|d 2023-01-12T14:15:14Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2023-10-26
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1180
|2 StatID
|b Current Contents - Social and Behavioral Sciences
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0130
|2 StatID
|b Social Sciences Citation Index
|d 2023-10-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2023-10-26
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b FRONT PUBLIC HEALTH : 2022
|d 2023-10-26
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2023-10-26
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2023-10-26
920 2 _ |0 I:(DE-He78)C100-20160331
|k C100
|l Gesundheitsökonomie
|x 0
920 1 _ |0 I:(DE-He78)C100-20160331
|k C100
|l Gesundheitsökonomie
|x 0
920 1 _ |0 I:(DE-He78)C060-20160331
|k C060
|l C060 Biostatistik
|x 1
920 0 _ |0 I:(DE-He78)C100-20160331
|k C100
|l Gesundheitsökonomie
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C100-20160331
980 _ _ |a I:(DE-He78)C060-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21