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. 2022 Apr 21;17(4):e0266346. doi: 10.1371/journal.pone.0266346

Table 2. Methodological characteristics of oral cancer cost studies from 2001 to 2020.

Study Type of study* Study design Data source Cost-of-illness based approach Estimation of resources and cost Time horizon (years) Perspective
Longitudinal studies
1. Kim, 2011 [19] Cost-of-illness Retrospective longitudinal Secondary data Incidence Single study-based 5 Government
2. Polesel, 2019 [26] Cost-of-illness Prospective longitudinal Secondary data Incidence Single study-based 2 Unclear
3. Jacobson, 2012 [24] Cost analysis Retrospective longitudinal Secondary data Incidence Single study-based 1 Government and health insurance provider
4. Pollaers, 2019 [25] Cost analysis Retrospective longitudinal Secondary data Incidence Single study-based 5 Government
5. Huang, 2020 [27] Cost-of-illness Retrospective longitudinal Secondary data Incidence Single study-based 5 Societal and Government
Cross-sectional and case control studies
6. Rezapour, 2018 [29] Cost-of-illness Cross-sectional Primary and secondary data Prevalence Single study-based 1 Societal
7. van Aghtoven, 2001 [35] Cost analysis Cross-sectional Primary and secondary data Prevalence Model-based 10 Hospital
8. Fisher, 2018 [36] Cost analysis Cross-sectional Primary and secondary data Prevalence Single study-based 3 Government and health insurance provider
9. Nijdam, 2005 [32] Cost-of-illness Cross-sectional Primary data Prevalence Single study-based 4 Hospital
10. Amarasinghe, 2019 [18] Cost-of-illness Cross-sectional Primary data Prevalence Single study-based 1 Societal
11. Goyal, 2014 [33] Cost analysis Cross-sectional Primary data Prevalence Single study-based ~1 year 9 months Hospital
12. Zavras, 2002 [37] Cost analysis Cross-sectional Primary data Not clear Single study-based at least 6 months Hospital
13. van der Linden, 2016 [38] Cost analysis Cross-sectional Primary data Not clear Single study-based 1 Hospital
14. Epstein, 2008 [34] Cost analysis Cross-sectional Secondary data Prevalence Single study-based 1 Government
15. Lafuma, 2019 [30] Cost-of-illness Cross-sectional Secondary data Prevalence Single study-based 5 Societal
16. Patterson, 2020 [31] Cost-of-illness Cross-sectional Secondary data Incidence Model-based 1 Societal
17. Han, 2010 [39] Cost analysis Cross-sectional Secondary data Prevalence Single study-based 1 Hospital
18. Enomoto, 2015 [40] Cost analysis Cross-sectional Secondary data Prevalence Single study-based 1 Government
19. Lairson, 2017 [41] Cost-of-illness Case-control Secondary data Not clear Single study-based 2 Government and health insurance provider
20. Kim, 2020 [19] Cost-of-illness Cross-sectional Secondary data Prevalence Single study-based 5 Societal and Government
Cross-sectional studies based on information system data
21. Vatanasapt, 2012 [20] Cost-of-illness Cross-sectional Secondary data Incidence Single study-based 1 Government
22. Klussmann, 2013 [28] Cost-of-illness Cross-sectional Secondary data Prevalence Single study-based 1 Societal
23. Keeping, 2018 [21] Cost-of-illness Cross-sectional Secondary data Prevalence Single study-based 5 Hospital
24. Milani, 2021 [22] Cost-of-illness Cross-sectional Secondary data Prevalence Single study-based 9 Government

* We classified the type of study according to the comprehensiveness of the cost estimation. If the cost estimation was restricted to a small sample, the study was classified as cost analysis, generally a group of patients from one hospital; and if the cost estimation included a city, state or country, the study was classified as cost-of-illness.