References
Anglemyer A, Moore THM, Parker L, Chambers T, Grady A, Chiu K, Parry M, Wilczynska M, Flemyng E, Bero L. (2020). Digital contact tracing technologies in epidemics: A rapid review. Cochrane Database of Systematic Reviews 8:CD013699. https://doi.org/10.1002/14651858.CD013699.
Arzuaga X, Smith MT, Gibbons CF, Skakkebæk NE, Yost EE, Beverly BEJ, Hotchkiss AK, Hauser R, Pagani RL, Schrader SM, Zeise L, Prins GS. (2019). Proposed key characteristics of male reproductive toxicants as an approach for organizing and evaluating mechanistic evidence in human health hazard assessments. Environmental Health Perspectives 127(6):65001. https://doi.org/10.1289/EHP5045. PMID: 31199676; PMCID: PMC6792367.
Berrington de González A, Daniels RD, Cardis E, Cullings HM, Gilbert E, Hauptmann M, Kendall G, Laurier D, Linet MS, Little MP, Lubin JH, Preston DL, Richardson DB, Stram D, Thierry-Chef I, Schubauer-Berigan MK. (2020). Epidemiological studies of low-dose ionizing radiation and cancer: Rationale and framework for the monograph and overview of eligible studies. JNCI Monographs 2020(56):97–113. https://doi.org/10.1093/jncimonographs/lgaa009.
Campbell M, McKenzie JE, Sowden A, Katikireddi SV, Brennan SE, Ellis S, Hartmann-Boyce J, Ryan R, Shepperd S, Thomas J, Welch V, Thomson H. (2020). Synthesis without meta-analysis (SWiM) in systematic reviews: Reporting guideline. BMJ 368:16890. https://doi.org/10.1136/bmj.l6890.
Collins JJ, Bodner K, Aylward LL, Wilken M, Swaen G, Budinsky R, Rowlands C, Bodnar CM. (2009). Mortality rates among workers exposed to dioxins in the manufacture of pentachlorophenol. Journal of Occupational and Environmental Medicine 51(10):1212–1219. http://www.jstor.org/stable/45009544.
Comstock GW. (1979). Editors’ note. American Journal of Epidemiology 110(5):525. https://doi.org/10.1093/oxfordjournals.aje.a112835.
Crump C, Crump K, Hack E, Luippold R, Mundt K, Liebig E, Panko J, Paustenbach D, Proctor D. (2003). Dose-response and risk assessment of airborne hexavalent chromium and lung cancer mortality. Risk Analysis 23(6):1147−1163. https://doi.org/10.1111/j.0272-4332.2003.00388.x.
Demers PA, Davies HW, Friesen MC, Hertzman C, Ostry A, Hershler R, Teschke K. (2006). Cancer and occupational exposure to pentachlorophenol and tetrachlorophenol (Canada). Cancer Causes Control 17(6):749–758. https://doi.org/10.1007/s10552-006-0007-9. PMID: 16783603.
Eick SM, Goin DE, Chartres N, Lam J, Woodruff T. (2020). Assessing risk of bias in human environmental epidemiology studies using three tools: Different conclusions from different tools. Systematic Reviews 9(249). https://doi.org/10.1186/s13643-020-01490-8.
Fielden MR, Ward LD, Minocherhomji S, Nioi P, Lebrec H, Jacobson-Kram D. (2018). Modernizing human cancer risk assessment of therapeutics. Trends in Pharmacological Sciences 39(3):232−247. https://doi.org/10.1016/j.tips.2017.11.005. PMID: 29242029.
Gibb HJ, Lees PSJ, Pinsky PF, Rooney BC. (2000). Lung cancer among workers in chromium chemical production. American Journal of Industrial Medicine 38(2):115–126. https://doi.org/10.1002/1097-0274(200008)38:2%3C115::AID-AJIM1%3E3.0.CO;2-Y.
Gibson EA, Siegel EL, Eniola F, Herbstman JB, Factor-Litvak P. (2018). Effects of polybrominated diphenyl ethers on child cognitive, behavioral, and motor development. International Journal of Environmental Research and Public Health 15(8):1636. http://doi.org/10.3390/ijerph15081636. PMID: 30072620; PMCID: PMC6121413.
Haney J. (2015a). Use of dose-dependent absorption into target tissues to more accurately predict cancer risk at low oral doses of hexavalent chromium. Regulatory Toxicology and Pharmacology 71:93–100.
Haney J. (2015b). Implications of dose-dependent target tissue absorption for linear and nonlinear/threshold approaches in development of a cancer-based oral toxicity factor for hexavalent chromium. Regulatory Toxicology and Pharmacology 72:194–201.
Haney J. (2015c). Consideration of non-linear, non-threshold and threshold approaches for assessing the carcinogenicity of oral exposure to hexavalent chromium. Regulatory Toxicology and Pharmacology 73:834–852.
Hill AB. (1965). The environment and disease: Association or causation? Proceedings of the Royal Society of Medicine 58(5):295−300. PMID: 14283879; PMCID: PMC1898525.
La Merrill MA, Vandenberg LN, Smith MT, Goodson W, Browne P, Patisaul HB, Guyton KZ, Kortenkamp A, Cogliano VJ, Woodruff TJ, Rieswijk L, Sone H, Korach KS, Gore AC, Zeise L, Zoeller RT. (2020). Consensus on the key characteristics of endocrine-disrupting chemicals as a basis for hazard identification. Nature Reviews Endocrinology 16(1):45−57. https://10.1038/s41574-019-0273-8. PMID: 31719706; PMCID: PMC6902641.
Lawlor DA, Tilling K, Davey Smith G. (2016). Triangulation in aetiological epidemiology. International Journal of Epidemiology 45(6):1866−1886. https://doi.org/10.1093/ije/dyw314. PMID: 28108528; PMCID: PMC5841843.
Lind L, Araujo JA, Barchowsky A, Belcher S, Berridge BR, Chiamvimonvat N, Chiu WA, Cogliano VJ, Elmore S, Farraj AK, Gomes AV, McHale CM, Meyer-Tamaki KB, Posnack NG, Vargas HM, Yang X, Zeise L, Zhou C, Smith MT. (2021). Key characteristics of cardiovascular toxicants. Environmental Health Perspectives 129(9):95001. https://doi.org/10.1289/EHP9321. PMID: 34558968; PMCID: PMC8462506.
Lipsett M, Campleman S. (1999). Occupational exposure to diesel exhaust and lung cancer: A meta-analysis. American Journal of Public Health 89(7):1009–1017. https://doi.org/10.2105/ajph.89.7.1009. PMID: 10394308; PMCID: PMC1508841.
Luderer U, Eskenazi B, Hauser R, Korach KS, McHale CM, Moran F, Rieswijk L, Solomon G, Udagawa O, Zhang L, Zlatnik M, Zeise L, Smith MT. (2019). Proposed key characteristics of female reproductive toxicants as an approach for organizing and evaluating mechanistic data in hazard assessment. Environmental Health Perspectives 127(7):75001. http://doi.org/10.1289/EHP4971. PMID: 31322437; PMCID: PMC6791466.
Munafo MR, Davey Smith G. (2018). Repeating experiments is not enough. Nature 553(7689):399−401. https://doi.org/10.1038/d41586-018-01023-3.
NASEM (National Academies of Sciences, Engineering, and Medicine). (2017). Using 21st Century Science to Improve Risk-Related Evaluations. Washington, DC: The National Academies Press. https://doi.org/10.17226/24635.
NASEM. (2018). Progress Toward Transforming the Integrated Risk Information System (IRIS) Program: A 2018 Evaluation. Washington, DC: The National Academies Press. https://doi.org/10.17226/25086.
NASEM. (2019). Review of DOD’s Approach to Deriving an Occupational Exposure Level for Trichloroethylene. Washington, DC: The National Academies Press. https://doi.org/10.17226/25610.
NASEM. (2021). The Use of Systematic Review in EPA’s Toxic Substances Control Act Risk Evaluations. Washington, DC: The National Academies Press. https://doi.org/10.17226/25952.
NASEM. (2022). Review of U.S. EPA’s ORD Staff Handbook for Developing IRIS Assessments: 2020 Version. Washington, DC: The National Academies Press. https://doi.org/10.17226/26289.
NRC (National Research Council). (1983). Risk Assessment in the Federal Government: Managing the Process. Washington, DC: National Academy Press. https://doi.org/10.17226/366.
NRC. (1994). Science and Judgment in Risk Assessment. Washington, DC: National Academy Press. https://doi.org/10.17226/2125.
NRC. (2006). Health Risks from Exposure to Low Levels of Ionizing Radiation: BEIR VII Phase 2. Washington, DC: The National Academies Press. https://doi.org/10.17226/11340.
NRC. (2007). Toxicity Testing in the 21st Century: A Vision and a Strategy. Washington, DC: The National Academies Press. https://doi.org/10.17226/11970.
NRC. (2009). Science and Decisions: Advancing Risk Assessment. Washington, DC: The National Academies Press. https://doi.org/10.17226/12209.
NRC. (2011). Review of the Environmental Protection Agency’s Draft IRIS Assessment of Formaldehyde. Washington, DC: The National Academies Press. https://doi.org/10.17226/13142.
NRC. (2014a). Review of EPA’s Integrated Risk Information System (IRIS) Process. Washington, DC: The National Academies Press. https://doi.org/10.17226/18764.
NRC. (2014b). Review of the Environmental Protection Agency’s State-of-the-Science Evaluation of Nonmonotonic Dose-Response Relationships as They Apply to Endocrine Disruptors. Washington, DC: The National Academies Press. https://doi.org/10.17226/18608.
NTP (National Toxicology Program). (2008). National Toxicology Program Technical Report on the Toxicology and Carcinogenesis Studies of Sodium Dichromate Dihydrate (CAS No. 7789-12-0) in F344/N Rats and B6C3F1 Mice (Drinking Water Studies). NTP Toxicity Report 546. NIH Publication No. 08-5887.
NTP. (2018). Report on Carcinogens Monograph on Antimony Trioxide. Research Triangle Park, NC: National Toxicology Program. RoC Monograph 13.
Pearce N, Vandenbroucke JP, Lawlor DA. (2019). Causal inference in environmental epidemiology: Old and new approaches. Epidemiology (Cambridge, Mass.) 30(3):311–316. https://doi.org/10.1097/EDE.0000000000000987.
Ramlow JM, Sapdacene NW, Hoag SR, Stafford BA, Cartmill JB, Lerner PJ. (1996). Mortality in a cohort of pentachlorophenol manufacturing workers, 1940–1989. Journal of Occupational Medicine 30(2):180–194. https://doi.org/10.1002/(SICI)1097-0274(199608)30:2<180::AIDAJIM9>3.0.CO;2-4.
Richardson D. (2010). Occupational exposures and lung cancer: Adjustment for unmeasured confounding by smoking. Epidemiology 21(2):181–186. https://doi.org/10.1097/EDE.0b013e3181c6f7d9.
Rusyn I, Corton JC. (2012). Mechanistic considerations for human relevance of cancer hazard of di(2-ethylhexyl) phthalate. Mutation Research 750(2):141–158. https://doi.org/10.1016/j.mrrev.2011.12.004. PMID: 22198209; PMCID: PMC3348351.
Rusyn I, Arzuaga X, Cattley RC, Corton JC, Ferguson SS, Godoy P, Guyton KZ, Kaplowitz N, Khetani SR, Roberts RA, Roth RA, Smith MT. (2021). Key characteristics of human hepatotoxicants as a basis for identification and characterization of the causes of liver toxicity. Hepatology 74(6):3486−3496. https://doi.org/10.1002/hep.31999. PMID: 34105804; PMCID: PMC8901129.
Samet JM, Chiu WA, Cogliano V, Jinot J, Kriebel D, Lunn RM, Beland FA, Bero L, Browne P, Fritschi L, Kanno J, Lachenmeier DW, Lan Q, Lasfargues G, Le Curieux F, Peters S, Shubat P, Sone H, White MC, Williamson J, Yakubovskaya M, Siemiatycki J, White PA, Guyton KZ, Schubauer-Berigan MK, Hall AL, Grosse Y, Bouvard V, Benbrahim-Tallaa L, El Ghissassi F, LaubySecretan B, Armstrong B, Saracci R, Zavadil J, Straif K, Wild CP. (2020). The IARC Monographs: Updated procedures for modern and transparent evidence synthesis in cancer hazard identification. Journal of the National Cancer Institute 112(1):30−37. https://doi.org/10.1093/jnci/djz169. PMID: 31498409; PMCID: PMC6968684.
Savitz DA, Forastiere F. (2021). Do pooled estimates from meta-analyses of observational epidemiology studies contribute to causal inference? Occupational and Environmental Medicine 78:621−622.
Savitz DA, Wellenius GA, Trikalinos TA. (2019). The problem with mechanistic risk of bias assessments in evidence synthesis of observational studies and a practical alternative: Assessing the impact of specific sources of potential bias. American Journal of Epidemiology 188(9):1581–1585. https://doi.org/10.1093/aje/kwz131.
Shapiro AJ, Antoni S, Guyton KZ, Lunn RM, Loomis D, Rusyn I, Jahnke GD, Schwingl PJ, Mehta SS, Addington J, Guha N. (2018). Software tools to facilitate systematic review used for cancer hazard identification. Environmental Health Perspectives 126(10):104501.
Smith MT, Guyton KZ, Gibbons CF, Fritz JM, Portier CJ, Rusyn I, DeMarini DM, Caldwell JC, Kavlock RJ, Lambert PF, Hecht SS, Bucher JR, Stewart BW, Baan RA, Cogliano VJ, Straif K. (2016). Key characteristics of carcinogens as a basis for organizing data on mechanisms of carcinogenesis. Environmental Health Perspectives 124(6):713−721. https://doi.org/10.1289/ehp.1509912. PMID: 26600562; PMCID: PMC4892922.
Smith MT, Guyton KZ, Kleinstreuer N, Borrel A, Cardenas A, Chiu WA, Felsher DW, Gibbons CF, Goodson WH 3rd, Houck KA, Kane AB, La Merrill MA, Lebrec H, Lowe L, McHale CM, Minocherhomji S, Rieswijk L, Sandy MS, Sone H, Wang A, Zhang L, Zeise L, Fielden M. (2020). The key characteristics of carcinogens: Relationship to the hallmarks of cancer, relevant biomarkers, and assays to measure them. Cancer Epidemiology, Biomarkers & Prevention 29(10):1887−1903. https://doi.org/10.1158/1055-9965.EPI-19-1346. PMID: 32152214; PMCID: PMC7483401.