Understanding the contribution of lifestyle in breast cancer risk prediction: a systematic review of models applicable to Europe

go back to reference Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, B. F. Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer; 2020. Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, B. F. Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer; 2020.

go back to reference European Cancer Information System (ECIS), Breast Cancer Burden in EU-27, European Union. 2023. Available at https://ecis.jrc.ec.europa.eu/. European Cancer Information System (ECIS), Breast Cancer Burden in EU-27, European Union. 2023. Available at https://​ecis.​jrc.​ec.​europa.​eu/​.

go back to reference European Commission Initiative on Breast Cancer. European guidelines on screening and diagnosis. Ispra, Italy: European Commission - Joint Research Centre; 2022. European Commission Initiative on Breast Cancer. European guidelines on screening and diagnosis. Ispra, Italy: European Commission - Joint Research Centre; 2022.

go back to reference Zielonke N, Gini A, Jansen EEL, Anttila A, Segnan N, Ponti A, Veerus P, de Koning HJ, van Ravesteyn NT, Heijnsdijk EAM. Evidence for reducing cancer-specific mortality due to screening for breast cancer in Europe: A systematic review. Eur J Cancer. 2020;127:191–206.PubMedCrossRef Zielonke N, Gini A, Jansen EEL, Anttila A, Segnan N, Ponti A, Veerus P, de Koning HJ, van Ravesteyn NT, Heijnsdijk EAM. Evidence for reducing cancer-specific mortality due to screening for breast cancer in Europe: A systematic review. Eur J Cancer. 2020;127:191–206.PubMedCrossRef

go back to reference Cardoso F, Kyriakides S, Ohno S, Penault-Llorca F, Poortmans P, Rubio IT, Zackrisson S, Senkus E. Early breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2019;30:1194–220.PubMedCrossRef Cardoso F, Kyriakides S, Ohno S, Penault-Llorca F, Poortmans P, Rubio IT, Zackrisson S, Senkus E. Early breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2019;30:1194–220.PubMedCrossRef

go back to reference Clift AK, Dodwell D, Lord S, Petrou S, Brady SM, Collins GS, Hippisley-Cox J. The current status of risk-stratified breast screening. Br J Cancer. 2022;126:533–50.PubMedCrossRef Clift AK, Dodwell D, Lord S, Petrou S, Brady SM, Collins GS, Hippisley-Cox J. The current status of risk-stratified breast screening. Br J Cancer. 2022;126:533–50.PubMedCrossRef

go back to reference Cintolo-Gonzalez JA, Braun D, Blackford AL, Mazzola E, Acar A, Plichta JK, Griffin M, Hughes KS. Breast cancer risk models: a comprehensive overview of existing models, validation, and clinical applications. Breast Cancer Res Treat. 2017;164:263–84.PubMedCrossRef Cintolo-Gonzalez JA, Braun D, Blackford AL, Mazzola E, Acar A, Plichta JK, Griffin M, Hughes KS. Breast cancer risk models: a comprehensive overview of existing models, validation, and clinical applications. Breast Cancer Res Treat. 2017;164:263–84.PubMedCrossRef

go back to reference Anothaisintawee T, Teerawattananon Y, Wiratkapun C, Kasamesup V, Thakkinstian A. Risk prediction models of breast cancer: a systematic review of model performances. Breast Cancer Res Treat. 2012;133:1–10.PubMedCrossRef Anothaisintawee T, Teerawattananon Y, Wiratkapun C, Kasamesup V, Thakkinstian A. Risk prediction models of breast cancer: a systematic review of model performances. Breast Cancer Res Treat. 2012;133:1–10.PubMedCrossRef

go back to reference Louro J, Posso M, Hilton Boon M, Román M, Domingo L, Castells X, Sala M. A systematic review and quality assessment of individualised breast cancer risk prediction models. Br J Cancer. 2019;121:76–85.PubMedPubMedCentralCrossRef Louro J, Posso M, Hilton Boon M, Román M, Domingo L, Castells X, Sala M. A systematic review and quality assessment of individualised breast cancer risk prediction models. Br J Cancer. 2019;121:76–85.PubMedPubMedCentralCrossRef

go back to reference Al-Ajmi K, Lophatananon A, Yuille M, Ollier W, Muir KR. Review of non-clinical risk models to aid prevention of breast cancer. Cancer Causes Control. 2018;29:967–86.PubMedPubMedCentralCrossRef Al-Ajmi K, Lophatananon A, Yuille M, Ollier W, Muir KR. Review of non-clinical risk models to aid prevention of breast cancer. Cancer Causes Control. 2018;29:967–86.PubMedPubMedCentralCrossRef

go back to reference Meads C, Ahmed I, Riley RD. A systematic review of breast cancer incidence risk prediction models with meta-analysis of their performance. Breast Cancer Res Treat. 2012;132:365–77.PubMedCrossRef Meads C, Ahmed I, Riley RD. A systematic review of breast cancer incidence risk prediction models with meta-analysis of their performance. Breast Cancer Res Treat. 2012;132:365–77.PubMedCrossRef

go back to reference Gail MH, Brinton LA, Byar DP, Corle DK, Green SB, Schairer C, Mulvihill JJ. Projecting individualized probabilities of developing breast cancer for white females who are being examined annually. J Natl Cancer Inst. 1989;81:1879–86.PubMedCrossRef Gail MH, Brinton LA, Byar DP, Corle DK, Green SB, Schairer C, Mulvihill JJ. Projecting individualized probabilities of developing breast cancer for white females who are being examined annually. J Natl Cancer Inst. 1989;81:1879–86.PubMedCrossRef

go back to reference Tyrer J, Duffy SW, Cuzick J. A breast cancer prediction model incorporating familial and personal risk factors. Stat Med. 2004;23:1111–30.PubMedCrossRef Tyrer J, Duffy SW, Cuzick J. A breast cancer prediction model incorporating familial and personal risk factors. Stat Med. 2004;23:1111–30.PubMedCrossRef

go back to reference World Cancer Research Fund/American Institute for Cancer Research, Continuous Update Project Expert report 2018. Diet, nutrition, physical activity and breast cancer. UK: World Cancer Research Fund London; 2018. World Cancer Research Fund/American Institute for Cancer Research, Continuous Update Project Expert report 2018. Diet, nutrition, physical activity and breast cancer. UK: World Cancer Research Fund London; 2018.

go back to reference World Cancer Research Fund/American Institute for Cancer Research, Diet, Nutrition, Physical Activity and Cancer: a Global Perspective, Continuous Update Project Expert Report, 2018. Available at dietandcancerreport.org. World Cancer Research Fund/American Institute for Cancer Research, Diet, Nutrition, Physical Activity and Cancer: a Global Perspective, Continuous Update Project Expert Report, 2018. Available at dietandcancerrep​ort.​org.

go back to reference McCormack VA, dos Santos Silva I. Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis. Cancer Epidemiol Biomarkers Prev. 2006;15:1159–69.PubMedCrossRef McCormack VA, dos Santos Silva I. Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis. Cancer Epidemiol Biomarkers Prev. 2006;15:1159–69.PubMedCrossRef

go back to reference Mokhtary A, Karakatsanis A, Valachis A. Mammographic density changes over time and breast cancer risk: a systematic review and meta-analysis. Cancers (Basel). 2021;13(19):4805. https://doi.org/10.3390/cancers13194805.CrossRefPubMed Mokhtary A, Karakatsanis A, Valachis A. Mammographic density changes over time and breast cancer risk: a systematic review and meta-analysis. Cancers (Basel). 2021;13(19):4805. https://​doi.​org/​10.​3390/​cancers13194805.CrossRefPubMed

go back to reference Garcia-Closas M, Couch FJ, Lindstrom S, Michailidou K, Schmidt MK, Brook MN, Orr N, Rhie SK, Riboli E, Feigelson HS, Le Marchand L, Buring JE, Eccles D, Miron P, Fasching PA, Brauch H, Chang-Claude J, Carpenter J, Godwin AK, Nevanlinna H, Giles GG, Cox A, Hopper JL, Bolla MK, Wang Q, Dennis J, Dicks E, Howat WJ, Schoof N, Bojesen SE, Lambrechts D, Broeks A, Andrulis IL, Guénel P, Burwinkel B, Sawyer EJ, Hollestelle A, Fletcher O, Winqvist R, Brenner H, Mannermaa A, Hamann U, Meindl A, Lindblom A, Zheng W, Goldberg MS, Lubinski J, Kristensen V, Swerdlow A, Anton-Culver H, Dörk T, Muir K, Matsuo K, Wu AH, Radice P, Teo SH, Shu XO, Blot W, Kang D, Hartman M, Sangrajrang S, Shen CY, Southey MC, Park DJ, Hammet F, Stone J, Veer LJ, Rutgers EJ, Lophatananon A, Stewart-Brown S, Siriwanarangsan P, Peto J, Schrauder MG, Ekici AB, Beckmann MW, Dos Santos Silva I, Johnson N, Warren H, Tomlinson I, Kerin MJ, Miller N, Marme F, Schneeweiss A, Sohn C, Truong T, Laurent-Puig P, Kerbrat P, Nordestgaard BG, Nielsen SF, Flyger H, Milne RL, Perez JI, Menéndez P, Müller H, Arndt V, Stegmaier C, Lichtner P, Lochmann M, Justenhoven C, et al. Genome-wide association studies identify four ER negative-specific breast cancer risk loci. Nat Genet. 2013;45:392–8 398e1–2.PubMedPubMedCentralCrossRef Garcia-Closas M, Couch FJ, Lindstrom S, Michailidou K, Schmidt MK, Brook MN, Orr N, Rhie SK, Riboli E, Feigelson HS, Le Marchand L, Buring JE, Eccles D, Miron P, Fasching PA, Brauch H, Chang-Claude J, Carpenter J, Godwin AK, Nevanlinna H, Giles GG, Cox A, Hopper JL, Bolla MK, Wang Q, Dennis J, Dicks E, Howat WJ, Schoof N, Bojesen SE, Lambrechts D, Broeks A, Andrulis IL, Guénel P, Burwinkel B, Sawyer EJ, Hollestelle A, Fletcher O, Winqvist R, Brenner H, Mannermaa A, Hamann U, Meindl A, Lindblom A, Zheng W, Goldberg MS, Lubinski J, Kristensen V, Swerdlow A, Anton-Culver H, Dörk T, Muir K, Matsuo K, Wu AH, Radice P, Teo SH, Shu XO, Blot W, Kang D, Hartman M, Sangrajrang S, Shen CY, Southey MC, Park DJ, Hammet F, Stone J, Veer LJ, Rutgers EJ, Lophatananon A, Stewart-Brown S, Siriwanarangsan P, Peto J, Schrauder MG, Ekici AB, Beckmann MW, Dos Santos Silva I, Johnson N, Warren H, Tomlinson I, Kerin MJ, Miller N, Marme F, Schneeweiss A, Sohn C, Truong T, Laurent-Puig P, Kerbrat P, Nordestgaard BG, Nielsen SF, Flyger H, Milne RL, Perez JI, Menéndez P, Müller H, Arndt V, Stegmaier C, Lichtner P, Lochmann M, Justenhoven C, et al. Genome-wide association studies identify four ER negative-specific breast cancer risk loci. Nat Genet. 2013;45:392–8 398e1–2.PubMedPubMedCentralCrossRef

go back to reference Michailidou K, Lindström, S, Dennis J, Beesley J, Hui S, Kar S, Lemaçon A, Soucy P, Glubb D, Rostamianfar A, Bolla MK, Wang Q, Tyrer J, Dicks E, Lee A, Wang Z, Allen J, Keeman R, Eilber U, French J.D., Qing Chen X., Fachal L., McCue K., McCart Reed A.E., Ghoussaini M, Carroll J.S., Jiang X, Finucane H, Adams M, Adank M.A., Ahsan H, Aittomäki K., Anton-Culver H., Antonenkova N.N., Arndt V, Aronson K.J., Arun B, Auer P.L., Bacot F, Barrdahl M, Baynes C, Beckmann M.W., Behrens S, Benitez J., Bermisheva M., Bernstein L., Blomqvist C., Bogdanova N.V., Bojesen S.E., Bonanni B, Børresen-Dale A.-L, Brand J.S., Brauch H, Brennan P, Brenner H, Brinton L, Broberg P, Brock I.W, Broeks A, Brooks-Wilson A, Brucker S.Y., Brüning T, Burwinkel B, Butterbach K, Cai Q, Cai H, Caldés T, Canzian F, Carracedo A, Carter B.D, Castelao J.E., Chan T.L., David Cheng T.-Y, Seng Chia K, Choi J.-Y, Christiansen H, Clarke C.L., Collée M, Conroy D.M., Cordina-Duverger E, Cornelissen S, Cox D.G., Cox A, Cross S.S, Cunningham J.M., Czene K, Daly M.B., Devilee P, Doheny K.F., Dörk T, dos-Santos-Silva I., Dumont M, Durcan L, Dwek M, Eccles D.M, Ekici A.B., Eliassen A.H., Ellberg C, Elvira M., Engel C, et al. Association analysis identifies 65 new breast cancer risk loci. Nature. 2017;551:92–4.PubMedPubMedCentralCrossRef Michailidou K, Lindström, S, Dennis J, Beesley J, Hui S, Kar S, Lemaçon A, Soucy P, Glubb D, Rostamianfar A, Bolla MK, Wang Q, Tyrer J, Dicks E, Lee A, Wang Z, Allen J, Keeman R, Eilber U, French J.D., Qing Chen X., Fachal L., McCue K., McCart Reed A.E., Ghoussaini M, Carroll J.S., Jiang X, Finucane H, Adams M, Adank M.A., Ahsan H, Aittomäki K., Anton-Culver H., Antonenkova N.N., Arndt V, Aronson K.J., Arun B, Auer P.L., Bacot F, Barrdahl M, Baynes C, Beckmann M.W., Behrens S, Benitez J., Bermisheva M., Bernstein L., Blomqvist C., Bogdanova N.V., Bojesen S.E., Bonanni B, Børresen-Dale A.-L, Brand J.S., Brauch H, Brennan P, Brenner H, Brinton L, Broberg P, Brock I.W, Broeks A, Brooks-Wilson A, Brucker S.Y., Brüning T, Burwinkel B, Butterbach K, Cai Q, Cai H, Caldés T, Canzian F, Carracedo A, Carter B.D, Castelao J.E., Chan T.L., David Cheng T.-Y, Seng Chia K, Choi J.-Y, Christiansen H, Clarke C.L., Collée M, Conroy D.M., Cordina-Duverger E, Cornelissen S, Cox D.G., Cox A, Cross S.S, Cunningham J.M., Czene K, Daly M.B., Devilee P, Doheny K.F., Dörk T, dos-Santos-Silva I., Dumont M, Durcan L, Dwek M, Eccles D.M, Ekici A.B., Eliassen A.H., Ellberg C, Elvira M., Engel C, et al. Association analysis identifies 65 new breast cancer risk loci. Nature. 2017;551:92–4.PubMedPubMedCentralCrossRef

go back to reference Milne RL, Kuchenbaecker KB, Michailidou K, Beesley J, Kar S., Lindström S, Hui S, Lemaçon A, Soucy P, Dennis J, Jiang X, Rostamianfar A, Finucane H, Bolla MK, McGuffog L, Wang Q, Aalfs CM, Adams M., Adlard J, Agata S, Ahmed S, Ahsan H, Aittomäki K., Al-Ejeh F, Allen J, Ambrosone CB, Amos CI, Andrulis IL, Anton-Culver H, Antonenkova NN, Arndt V, Arnold N, Aronson K.J, Auber B, Auer P.L., Ausems M, Azzollini J, Bacot F, Balmaña J, Barile M, Barjhoux L, Barkardottir RB, Barrdahl M, Barnes D, Barrowdale D, Baynes C, Beckmann MW, Benitez J, Bermisheva M, Bernstein L, Bignon YJ, Blazer KR, Blok MJ, Blomqvist C, Blot W, Bobolis K, Boeckx B, Bogdanova NV, Bojesen A, Bojesen SE, Bonanni B, Børresen-Dale AL, Bozsik A, Bradbury A.R., Brand J.S., Brauch H, Brenner H, Bressac-de Paillerets B, Brewer C, Brinton L, Broberg P, Brooks-Wilson A, Brunet J, Brüning T, Burwinkel B, Buys SS, Byun J, Cai Q, Caldés T, Caligo MA, Campbell I, Canzian F, Caron O, Carracedo A, Carter BD, Castelao JE, Castera L, Caux-Moncoutier V, Chan S.B., Chang-Claude J, Chanock S.J., Chen X, Cheng T.D., Chiquette J, Christiansen H, Claes KBM, Clarke C.L., Conner T, Conroy DM, Cook J, et al. Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer. Nat Genet. 2017;49:1767–78.PubMedPubMedCentralCrossRef Milne RL, Kuchenbaecker KB, Michailidou K, Beesley J, Kar S., Lindström S, Hui S, Lemaçon A, Soucy P, Dennis J, Jiang X, Rostamianfar A, Finucane H, Bolla MK, McGuffog L, Wang Q, Aalfs CM, Adams M., Adlard J, Agata S, Ahmed S, Ahsan H, Aittomäki K., Al-Ejeh F, Allen J, Ambrosone CB, Amos CI, Andrulis IL, Anton-Culver H, Antonenkova NN, Arndt V, Arnold N, Aronson K.J, Auber B, Auer P.L., Ausems M, Azzollini J, Bacot F, Balmaña J, Barile M, Barjhoux L, Barkardottir RB, Barrdahl M, Barnes D, Barrowdale D, Baynes C, Beckmann MW, Benitez J, Bermisheva M, Bernstein L, Bignon YJ, Blazer KR, Blok MJ, Blomqvist C, Blot W, Bobolis K, Boeckx B, Bogdanova NV, Bojesen A, Bojesen SE, Bonanni B, Børresen-Dale AL, Bozsik A, Bradbury A.R., Brand J.S., Brauch H, Brenner H, Bressac-de Paillerets B, Brewer C, Brinton L, Broberg P, Brooks-Wilson A, Brunet J, Brüning T, Burwinkel B, Buys SS, Byun J, Cai Q, Caldés T, Caligo MA, Campbell I, Canzian F, Caron O, Carracedo A, Carter BD, Castelao JE, Castera L, Caux-Moncoutier V, Chan S.B., Chang-Claude J, Chanock S.J., Chen X, Cheng T.D., Chiquette J, Christiansen H, Claes KBM, Clarke C.L., Conner T, Conroy DM, Cook J, et al. Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer. Nat Genet. 2017;49:1767–78.PubMedPubMedCentralCrossRef

go back to reference Yanes T, Young M-A, Meiser B, James PA. Clinical applications of polygenic breast cancer risk: a critical review and perspectives of an emerging field. Breast Cancer Res. 2020;22:21.PubMedPubMedCentralCrossRef Yanes T, Young M-A, Meiser B, James PA. Clinical applications of polygenic breast cancer risk: a critical review and perspectives of an emerging field. Breast Cancer Res. 2020;22:21.PubMedPubMedCentralCrossRef

go back to reference Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D, The PRISMA. statement: An updated guideline for reporting systematic reviews. J Clin Epidemiol. 2020;134(2021):178–89. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D, The PRISMA. statement: An updated guideline for reporting systematic reviews. J Clin Epidemiol. 2020;134(2021):178–89.

go back to reference Moons KGM, de Groot JAH, Bouwmeester W, Vergouwe Y, Mallett S, Altman DG, Reitsma JB, Collins GS. Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist. PLoS Med. 2014;11: e1001744.PubMedPubMedCentralCrossRef Moons KGM, de Groot JAH, Bouwmeester W, Vergouwe Y, Mallett S, Altman DG, Reitsma JB, Collins GS. Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist. PLoS Med. 2014;11: e1001744.PubMedPubMedCentralCrossRef

go back to reference Moons KG, Wolff RF, Riley RD, Whiting PF, Westwood M, Collins GS, Reitsma JB, Kleijnen J, Mallett S. PROBAST: a tool to assess risk of bias and applicability of prediction model studies: explanation and elaboration. Ann Intern Med. 2019;170:W1–33.PubMedCrossRef Moons KG, Wolff RF, Riley RD, Whiting PF, Westwood M, Collins GS, Reitsma JB, Kleijnen J, Mallett S. PROBAST: a tool to assess risk of bias and applicability of prediction model studies: explanation and elaboration. Ann Intern Med. 2019;170:W1–33.PubMedCrossRef

go back to reference Schwarzer G, Schwarzer MG. Package ‘meta.’ The R foundation for statistical computing. 2012;9:27. Schwarzer G, Schwarzer MG. Package ‘meta.’ The R foundation for statistical computing. 2012;9:27.

go back to reference Usher-Smith JA, Sharp SJ, Luben R, Griffin SJ. Development and Validation of Lifestyle-Based Models to Predict Incidence of the Most Common Potentially Preventable Cancers. Cancer Epidemiol Biomarkers Prev. 2019;28:67–75.PubMedCrossRef Usher-Smith JA, Sharp SJ, Luben R, Griffin SJ. Development and Validation of Lifestyle-Based Models to Predict Incidence of the Most Common Potentially Preventable Cancers. Cancer Epidemiol Biomarkers Prev. 2019;28:67–75.PubMedCrossRef

go back to reference Li K, Anderson G, Viallon V, Arveux P, Kvaskoff M, Fournier A, Krogh V, Tumino R, Sánchez M-J, Ardanaz E, Chirlaque M-D, Agudo A, Muller DC, Smith T, Tzoulaki I, Key TJ, Bueno-de-Mesquita B, Trichopoulou A, Bamia C, Orfanos P, Kaaks R, Hüsing A, Fortner RT, Zeleniuch-Jacquotte A, Sund M, Dahm CC, Overvad K, Aune D, Weiderpass E, Romieu I, Riboli E, Gunter MJ, Dossus L, Prentice R, Ferrari P. Risk prediction for estrogen receptor-specific breast cancers in two large prospective cohorts. Breast Cancer Res. 2018;20:147.PubMedPubMedCentralCrossRef Li K, Anderson G, Viallon V, Arveux P, Kvaskoff M, Fournier A, Krogh V, Tumino R, Sánchez M-J, Ardanaz E, Chirlaque M-D, Agudo A, Muller DC, Smith T, Tzoulaki I, Key TJ, Bueno-de-Mesquita B, Trichopoulou A, Bamia C, Orfanos P, Kaaks R, Hüsing A, Fortner RT, Zeleniuch-Jacquotte A, Sund M, Dahm CC, Overvad K, Aune D, Weiderpass E, Romieu I, Riboli E, Gunter MJ, Dossus L, Prentice R, Ferrari P. Risk prediction for estrogen receptor-specific breast cancers in two large prospective cohorts. Breast Cancer Res. 2018;20:147.PubMedPubMedCentralCrossRef

go back to reference Yiangou K, Kyriacou K, Kakouri E, Marcou Y, Panayiotidis MI, Loizidou MA, et al. Combination of a 15-SNP polygenic risk score and classical risk factors for the prediction of breast cancer risk in Cypriot women. Cancers (Basel). 2021;13(18):4568. https://doi.org/10.3390/cancers13184568.CrossRefPubMed Yiangou K, Kyriacou K, Kakouri E, Marcou Y, Panayiotidis MI, Loizidou MA, et al. Combination of a 15-SNP polygenic risk score and classical risk factors for the prediction of breast cancer risk in Cypriot women. Cancers (Basel). 2021;13(18):4568. https://​doi.​org/​10.​3390/​cancers13184568.CrossRefPubMed

go back to reference Lee A, Mavaddat N, Wilcox AN, Cunningham AP, Carver T, Hartley S, Babb de Villiers C, Izquierdo A, Simard J, Schmidt MK, Walter FM, Chatterjee N, Garcia-Closas M, Tischkowitz M, Pharoah P, Easton DF, Antoniou AC. BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors. Genet Med. 2019;21:1708–18.PubMedPubMedCentralCrossRef Lee A, Mavaddat N, Wilcox AN, Cunningham AP, Carver T, Hartley S, Babb de Villiers C, Izquierdo A, Simard J, Schmidt MK, Walter FM, Chatterjee N, Garcia-Closas M, Tischkowitz M, Pharoah P, Easton DF, Antoniou AC. BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors. Genet Med. 2019;21:1708–18.PubMedPubMedCentralCrossRef

go back to reference Boyle P, Mezzetti M, La Vecchia C, Franceschi S, Decarli A, Robertson C. Contribution of three components to individual cancer risk predicting breast cancer risk in Italy. Eur J Cancer Prev. 2004;13:183–91.PubMedCrossRef Boyle P, Mezzetti M, La Vecchia C, Franceschi S, Decarli A, Robertson C. Contribution of three components to individual cancer risk predicting breast cancer risk in Italy. Eur J Cancer Prev. 2004;13:183–91.PubMedCrossRef

go back to reference Petracci E, Decarli A, Schairer C, Pfeiffer RM, Pee D, Masala G, Palli D, Gail MH. Risk factor modification and projections of absolute breast cancer risk. J Natl Cancer Inst. 2011;103:1037–48.PubMedPubMedCentralCrossRef Petracci E, Decarli A, Schairer C, Pfeiffer RM, Pee D, Masala G, Palli D, Gail MH. Risk factor modification and projections of absolute breast cancer risk. J Natl Cancer Inst. 2011;103:1037–48.PubMedPubMedCentralCrossRef

go back to reference Hüsing A, Canzian F, Beckmann L, Garcia-Closas M, Diver WR, Thun MJ, Berg CD, Hoover RN, Ziegler RG, Figueroa JD, Isaacs C, Olsen A, Viallon V, Boeing H, Masala G, Trichopoulos D, Peeters PH, Lund E, Ardanaz E, Khaw KT, Lenner P, Kolonel LN, Stram DO, Le Marchand L, McCarty CA, Buring JE, Lee IM, Zhang S, Lindström S, Hankinson SE, Riboli E, Hunter DJ, Henderson BE, Chanock SJ, Haiman CA, Kraft P, Kaaks R. Prediction of breast cancer risk by genetic risk factors, overall and by hormone receptor status. J Med Genet. 2012;49:601–8.PubMedCrossRef Hüsing A, Canzian F, Beckmann L, Garcia-Closas M, Diver WR, Thun MJ, Berg CD, Hoover RN, Ziegler RG, Figueroa JD, Isaacs C, Olsen A, Viallon V, Boeing H, Masala G, Trichopoulos D, Peeters PH, Lund E, Ardanaz E, Khaw KT, Lenner P, Kolonel LN, Stram DO, Le Marchand L, McCarty CA, Buring JE, Lee IM, Zhang S, Lindström S, Hankinson SE, Riboli E, Hunter DJ, Henderson BE, Chanock SJ, Haiman CA, Kraft P, Kaaks R. Prediction of breast cancer risk by genetic risk factors, overall and by hormone receptor status. J Med Genet. 2012;49:601–8.PubMedCrossRef

go back to reference Rauh C, Hack CC, Häberle L, Hein A, Engel A, Schrauder MG, Fasching PA, Jud SM, Ekici AB, Loehberg CR, Meier-Meitinger M, Ozan S, Schulz-Wendtland R, Uder M, Hartmann A, Wachter DL, Beckmann MW, Heusinger K. Percent Mammographic Density and Dense Area as Risk Factors for Breast Cancer. Geburtshilfe Frauenheilkd. 2012;72:727–33.PubMedPubMedCentralCrossRef Rauh C, Hack CC, Häberle L, Hein A, Engel A, Schrauder MG, Fasching PA, Jud SM, Ekici AB, Loehberg CR, Meier-Meitinger M, Ozan S, Schulz-Wendtland R, Uder M, Hartmann A, Wachter DL, Beckmann MW, Heusinger K. Percent Mammographic Density and Dense Area as Risk Factors for Breast Cancer. Geburtshilfe Frauenheilkd. 2012;72:727–33.PubMedPubMedCentralCrossRef

go back to reference Dartois L, Gauthier É, Heitzmann J, Baglietto L, Michiels S, Mesrine S, Boutron-Ruault MC, Delaloge S, Ragusa S, Clavel-Chapelon F, Fagherazzi G. A comparison between different prediction models for invasive breast cancer occurrence in the French E3N cohort. Breast Cancer Res Treat. 2015;150:415–26.PubMedCrossRef Dartois L, Gauthier É, Heitzmann J, Baglietto L, Michiels S, Mesrine S, Boutron-Ruault MC, Delaloge S, Ragusa S, Clavel-Chapelon F, Fagherazzi G. A comparison between different prediction models for invasive breast cancer occurrence in the French E3N cohort. Breast Cancer Res Treat. 2015;150:415–26.PubMedCrossRef

go back to reference Hippisley-Cox J, Coupland C. Development and validation of risk prediction algorithms to estimate future risk of common cancers in men and women: prospective cohort study. BMJ Open. 2015;5: e007825.PubMedPubMedCentralCrossRef Hippisley-Cox J, Coupland C. Development and validation of risk prediction algorithms to estimate future risk of common cancers in men and women: prospective cohort study. BMJ Open. 2015;5: e007825.PubMedPubMedCentralCrossRef

go back to reference Maas P, Barrdahl M, Joshi AD, Auer PL, Gaudet MM, Milne RL, Schumacher FR, Anderson WF, Check D, Chattopadhyay S, Baglietto L, Berg CD, Chanock SJ, Cox DG, Figueroa JD, Gail MH, Graubard BI, Haiman CA, Hankinson SE, Hoover RN, Isaacs C, Kolonel LN, Le Marchand L, Lee IM, Lindström S, Overvad K, Romieu I, Sanchez MJ, Southey MC, Stram DO, Tumino R, VanderWeele TJ, Willett WC, Zhang S, Buring JE, Canzian F, Gapstur SM, Henderson BE, Hunter DJ, Giles GG, Prentice RL, Ziegler RG, Kraft P, Garcia-Closas M, Chatterjee N. Breast Cancer Risk From Modifiable and Nonmodifiable Risk Factors Among White Women in the United States. JAMA Oncol. 2016;2:1295–302.PubMedPubMedCentralCrossRef Maas P, Barrdahl M, Joshi AD, Auer PL, Gaudet MM, Milne RL, Schumacher FR, Anderson WF, Check D, Chattopadhyay S, Baglietto L, Berg CD, Chanock SJ, Cox DG, Figueroa JD, Gail MH, Graubard BI, Haiman CA, Hankinson SE, Hoover RN, Isaacs C, Kolonel LN, Le Marchand L, Lee IM, Lindström S, Overvad K, Romieu I, Sanchez MJ, Southey MC, Stram DO, Tumino R, VanderWeele TJ, Willett WC, Zhang S, Buring JE, Canzian F, Gapstur SM, Henderson BE, Hunter DJ, Giles GG, Prentice RL, Ziegler RG, Kraft P, Garcia-Closas M, Chatterjee N. Breast Cancer Risk From Modifiable and Nonmodifiable Risk Factors Among White Women in the United States. JAMA Oncol. 2016;2:1295–302.PubMedPubMedCentralCrossRef

go back to reference Eriksson M, Czene K, Pawitan Y, Leifland K, Darabi H, Hall P. A clinical model for identifying the short-term risk of breast cancer. Breast Cancer Res. 2017;19:29.PubMedPubMedCentralCrossRef Eriksson M, Czene K, Pawitan Y, Leifland K, Darabi H, Hall P. A clinical model for identifying the short-term risk of breast cancer. Breast Cancer Res. 2017;19:29.PubMedPubMedCentralCrossRef

go back to reference Dierssen-Sotos T, Gómez-Acebo I, Palazuelos C, Fernández-Navarro P, Altzibar JM, González-Donquiles C, Ardanaz E, Bustamante M, Alonso-Molero J, Vidal C, Bayo-Calero J, Tardón A, Salas D, Marcos-Gragera R, Moreno V, Rodriguez-Cundin P, Castaño-Vinyals G, Ederra M, Vilorio-Marqués L, Amiano P, Pérez-Gómez B, Aragonés N, Kogevinas M, Pollán M, Llorca J. Validating a breast cancer score in Spanish women. The MCC-Spain study Scientific Reports. 2018;8:3036.PubMedCrossRef Dierssen-Sotos T, Gómez-Acebo I, Palazuelos C, Fernández-Navarro P, Altzibar JM, González-Donquiles C, Ardanaz E, Bustamante M, Alonso-Molero J, Vidal C, Bayo-Calero J, Tardón A, Salas D, Marcos-Gragera R, Moreno V, Rodriguez-Cundin P, Castaño-Vinyals G, Ederra M, Vilorio-Marqués L, Amiano P, Pérez-Gómez B, Aragonés N, Kogevinas M, Pollán M, Llorca J. Validating a breast cancer score in Spanish women. The MCC-Spain study Scientific Reports. 2018;8:3036.PubMedCrossRef

go back to reference Gabrielson M, Ubhayasekera K, Ek B, Andersson Franko M, Eriksson M, Czene K, Bergquist J, Hall P. Inclusion of Plasma Prolactin Levels in Current Risk Prediction Models of Premenopausal and Postmenopausal Breast Cancer. JNCI Cancer Spectr. 2018;2:pky055.PubMedPubMedCentralCrossRef Gabrielson M, Ubhayasekera K, Ek B, Andersson Franko M, Eriksson M, Czene K, Bergquist J, Hall P. Inclusion of Plasma Prolactin Levels in Current Risk Prediction Models of Premenopausal and Postmenopausal Breast Cancer. JNCI Cancer Spectr. 2018;2:pky055.PubMedPubMedCentralCrossRef

go back to reference Lumachi F, Basso SMM, Camozzi V, Spaziante R, Ubiali P, Ermani M. Bone Mineral Density as a Potential Predictive Factor for Luminal-type Breast Cancer in Postmenopausal Women. Anticancer Res. 2018;38:3049–54.PubMed Lumachi F, Basso SMM, Camozzi V, Spaziante R, Ubiali P, Ermani M. Bone Mineral Density as a Potential Predictive Factor for Luminal-type Breast Cancer in Postmenopausal Women. Anticancer Res. 2018;38:3049–54.PubMed

go back to reference Rudolph A, Song M, Brook MN, Milne RL, Mavaddat N, Michailidou K, Bolla MK, Wang Q, Dennis J, Wilcox AN, Hopper JL, Southey MC, Keeman R, Fasching PA, Beckmann MW, Gago-Dominguez M, Castelao JE, Guénel P, Truong T, Bojesen SE, Flyger H, Brenner H, Arndt V, Brauch H, Brüning T, Mannermaa A, Kosma VM, Lambrechts D, Keupers M, Couch FJ, Vachon C, Giles GG, MacInnis RJ, Figueroa J, Brinton L, Czene K, Brand JS, Gabrielson M, Humphreys K, Cox A, Cross SS, Dunning AM, Orr N, Swerdlow A, Hall P, Pharoah PDP, Schmidt MK, Easton DF, Chatterjee N, Chang-Claude J, García-Closas M. Joint associations of a polygenic risk score and environmental risk factors for breast cancer in the Breast Cancer Association Consortium. Int J Epidemiol. 2018;47:526–36.PubMedPubMedCentralCrossRef Rudolph A, Song M, Brook MN, Milne RL, Mavaddat N, Michailidou K, Bolla MK, Wang Q, Dennis J, Wilcox AN, Hopper JL, Southey MC, Keeman R, Fasching PA, Beckmann MW, Gago-Dominguez M, Castelao JE, Guénel P, Truong T, Bojesen SE, Flyger H, Brenner H, Arndt V, Brauch H, Brüning T, Mannermaa A, Kosma VM, Lambrechts D, Keupers M, Couch FJ, Vachon C, Giles GG, MacInnis RJ, Figueroa J, Brinton L, Czene K, Brand JS, Gabrielson M, Humphreys K, Cox A, Cross SS, Dunning AM, Orr N, Swerdlow A, Hall P, Pharoah PDP, Schmidt MK, Easton DF, Chatterjee N, Chang-Claude J, García-Closas M. Joint associations of a polygenic risk score and environmental risk factors for breast cancer in the Breast Cancer Association Consortium. Int J Epidemiol. 2018;47:526–36.PubMedPubMedCentralCrossRef

go back to reference Eriksson M, Czene K, Strand F, Zackrisson S, Lindholm P, Lång K, Förnvik D, Sartor H, Mavaddat N, Easton D, Hall P. Identification of Women at High Risk of Breast Cancer Who Need Supplemental Screening. Radiology. 2020;297:327–33.PubMedCrossRef Eriksson M, Czene K, Strand F, Zackrisson S, Lindholm P, Lång K, Förnvik D, Sartor H, Mavaddat N, Easton D, Hall P. Identification of Women at High Risk of Breast Cancer Who Need Supplemental Screening. Radiology. 2020;297:327–33.PubMedCrossRef

go back to reference Triviño JC, Ceba A, Rubio-Solsona E, Serra D, Sanchez-Guiu I, Ribas G, Rosa R, Cabo M, Bernad L, Pita G, Gonzalez-Neira A, Legarda G, Diaz JL, García-Vigara A, Martínez-Aspas A, Escrig M, Bermejo B, Eroles P, Ibáñez J, Salas D, Julve A, Cano A, Lluch A, Miñambres R, Benitez J. Combination of phenotype and polygenic risk score in breast cancer risk evaluation in the Spanish population: a case -control study. BMC Cancer. 2020;20:1079.PubMedPubMedCentralCrossRef Triviño JC, Ceba A, Rubio-Solsona E, Serra D, Sanchez-Guiu I, Ribas G, Rosa R, Cabo M, Bernad L, Pita G, Gonzalez-Neira A, Legarda G, Diaz JL, García-Vigara A, Martínez-Aspas A, Escrig M, Bermejo B, Eroles P, Ibáñez J, Salas D, Julve A, Cano A, Lluch A, Miñambres R, Benitez J. Combination of phenotype and polygenic risk score in breast cancer risk evaluation in the Spanish population: a case -control study. BMC Cancer. 2020;20:1079.PubMedPubMedCentralCrossRef

go back to reference Bonnet E, Daures JP, Landais P. Determination of thresholds of risk in women at average risk of breast cancer to personalize the organized screening program. Sci Rep. 2021;11:19104.PubMedPubMedCentralCrossRef Bonnet E, Daures JP, Landais P. Determination of thresholds of risk in women at average risk of breast cancer to personalize the organized screening program. Sci Rep. 2021;11:19104.PubMedPubMedCentralCrossRef

go back to reference Louro J, Román M, Posso M, Vázquez I, Saladié F, Rodriguez-Arana A, Quintana MJ, Domingo L, Baré M, Marcos-Gragera R, Vernet-Tomas M, Sala M, Castells X. Developing and validating an individualized breast cancer risk prediction model for women attending breast cancer screening. PLoS ONE. 2021;16: e0248930.PubMedPubMedCentralCrossRef Louro J, Román M, Posso M, Vázquez I, Saladié F, Rodriguez-Arana A, Quintana MJ, Domingo L, Baré M, Marcos-Gragera R, Vernet-Tomas M, Sala M, Castells X. Developing and validating an individualized breast cancer risk prediction model for women attending breast cancer screening. PLoS ONE. 2021;16: e0248930.PubMedPubMedCentralCrossRef

go back to reference Colditz GA, Atwood KA, Emmons K, Monson RR, Willett WC, Trichopoulos D, Hunter DJ. Harvard report on cancer prevention volume 4: Harvard Cancer Risk. Index Risk Index Working Group, Harvard Center for Cancer Prevention. Cancer Causes Control. 2000;11:477–88.PubMedCrossRef Colditz GA, Atwood KA, Emmons K, Monson RR, Willett WC, Trichopoulos D, Hunter DJ. Harvard report on cancer prevention volume 4: Harvard Cancer Risk. Index Risk Index Working Group, Harvard Center for Cancer Prevention. Cancer Causes Control. 2000;11:477–88.PubMedCrossRef

go back to reference Novotny J, Pecen L, Petruzelka L, Svobodnik A, Dusek L, Danes J, Skovajsova M. Breast cancer risk assessment in the Czech female population–an adjustment of the original Gail model. Breast Cancer Res Treat. 2006;95:29–35.PubMedCrossRef Novotny J, Pecen L, Petruzelka L, Svobodnik A, Dusek L, Danes J, Skovajsova M. Breast cancer risk assessment in the Czech female population–an adjustment of the original Gail model. Breast Cancer Res Treat. 2006;95:29–35.PubMedCrossRef

go back to reference Pal Choudhury P, Wilcox AN, Brook MN, Zhang Y, Ahearn T, Orr N, Coulson P, Schoemaker MJ, Jones ME, Gail MH, Swerdlow AJ, Chatterjee N, Garcia-Closas M. Comparative Validation of Breast Cancer Risk Prediction Models and Projections for Future Risk Stratification. J Natl Cancer Inst. 2020;112:278–85.PubMedCrossRef Pal Choudhury P, Wilcox AN, Brook MN, Zhang Y, Ahearn T, Orr N, Coulson P, Schoemaker MJ, Jones ME, Gail MH, Swerdlow AJ, Chatterjee N, Garcia-Closas M. Comparative Validation of Breast Cancer Risk Prediction Models and Projections for Future Risk Stratification. J Natl Cancer Inst. 2020;112:278–85.PubMedCrossRef

go back to reference Pfeiffer RM, Park Y, Kreimer AR, Lacey JV Jr, Pee D, Greenlee RT, Buys SS, Hollenbeck A, Rosner B, Gail MH, Hartge P. Risk prediction for breast, endometrial, and ovarian cancer in white women aged 50 y or older: derivation and validation from population-based cohort studies. PLoS Med. 2013;10: e1001492.PubMedPubMedCentralCrossRef Pfeiffer RM, Park Y, Kreimer AR, Lacey JV Jr, Pee D, Greenlee RT, Buys SS, Hollenbeck A, Rosner B, Gail MH, Hartge P. Risk prediction for breast, endometrial, and ovarian cancer in white women aged 50 y or older: derivation and validation from population-based cohort studies. PLoS Med. 2013;10: e1001492.PubMedPubMedCentralCrossRef

go back to reference Schünemann HJ, Lerda D, Quinn C, Follmann M, Alonso-Coello P, Rossi PG, Lebeau A, Nyström L, Broeders M, Ioannidou-Mouzaka L. Breast cancer screening and diagnosis: a synopsis of the European Breast Guidelines. Ann Intern Med. 2020;172:46–56.PubMedCrossRef Schünemann HJ, Lerda D, Quinn C, Follmann M, Alonso-Coello P, Rossi PG, Lebeau A, Nyström L, Broeders M, Ioannidou-Mouzaka L. Breast cancer screening and diagnosis: a synopsis of the European Breast Guidelines. Ann Intern Med. 2020;172:46–56.PubMedCrossRef

go back to reference Usher-Smith JA, Hindmarch S, French DP, et al. Proactive breast cancer risk assessment in primary care: a review based on the principles of screening. Br J Cancer. 2023;128:1636–46. https://doi.org/10.1038/s41416-023-02145-w.CrossRefPubMedPubMedCentral Usher-Smith JA, Hindmarch S, French DP, et al. Proactive breast cancer risk assessment in primary care: a review based on the principles of screening. Br J Cancer. 2023;128:1636–46. https://​doi.​org/​10.​1038/​s41416-023-02145-w.CrossRefPubMedPubMedCentral

go back to reference Green VL. Breast Cancer Risk Assessment and Management of the High-Risk Patient. Obstet Gynecol Clin North Am. 2022;49:87–116.PubMedCrossRef Green VL. Breast Cancer Risk Assessment and Management of the High-Risk Patient. Obstet Gynecol Clin North Am. 2022;49:87–116.PubMedCrossRef

go back to reference Román M, Sala M, Domingo L, Posso M, Louro J, Castells X. Personalized breast cancer screening strategies: A systematic review and quality assessment. PLoS ONE. 2019;14: e0226352.PubMedPubMedCentralCrossRef Román M, Sala M, Domingo L, Posso M, Louro J, Castells X. Personalized breast cancer screening strategies: A systematic review and quality assessment. PLoS ONE. 2019;14: e0226352.PubMedPubMedCentralCrossRef

go back to reference Pashayan N, Antoniou AC, Ivanus U, Esserman LJ, Easton DF, French D, Sroczynski G, Hall P, Cuzick J, Evans DG, Simard J, Garcia-Closas M, Schmutzler R, Wegwarth O, Pharoah P, Moorthie S, De Montgolfier S, Baron C, Herceg Z, Turnbull C, Balleyguier C, Rossi PG, Wesseling J, Ritchie D, Tischkowitz M, Broeders M, Reisel D, Metspalu A, Callender T, de Koning H, Devilee P, Delaloge S, Schmidt MK, Widschwendter M. Personalized early detection and prevention of breast cancer: ENVISION consensus statement. Nat Rev Clin Oncol. 2020;17:687–705.PubMedPubMedCentralCrossRef Pashayan N, Antoniou AC, Ivanus U, Esserman LJ, Easton DF, French D, Sroczynski G, Hall P, Cuzick J, Evans DG, Simard J, Garcia-Closas M, Schmutzler R, Wegwarth O, Pharoah P, Moorthie S, De Montgolfier S, Baron C, Herceg Z, Turnbull C, Balleyguier C, Rossi PG, Wesseling J, Ritchie D, Tischkowitz M, Broeders M, Reisel D, Metspalu A, Callender T, de Koning H, Devilee P, Delaloge S, Schmidt MK, Widschwendter M. Personalized early detection and prevention of breast cancer: ENVISION consensus statement. Nat Rev Clin Oncol. 2020;17:687–705.PubMedPubMedCentralCrossRef

go back to reference Golubnitschaja O, Debald M, Yeghiazaryan K, Kuhn W, Pešta M, Costigliola V, Grech G. Breast cancer epidemic in the early twenty-first century: evaluation of risk factors, cumulative questionnaires and recommendations for preventive measures. Tumor Biology. 2016;37:12941–57.PubMedCrossRef Golubnitschaja O, Debald M, Yeghiazaryan K, Kuhn W, Pešta M, Costigliola V, Grech G. Breast cancer epidemic in the early twenty-first century: evaluation of risk factors, cumulative questionnaires and recommendations for preventive measures. Tumor Biology. 2016;37:12941–57.PubMedCrossRef

go back to reference Schooling CM, Jones HE. Clarifying questions about “risk factors”: predictors versus explanation. Emerg Themes Epidemiol. 2018;15:10.PubMedPubMedCentralCrossRef Schooling CM, Jones HE. Clarifying questions about “risk factors”: predictors versus explanation. Emerg Themes Epidemiol. 2018;15:10.PubMedPubMedCentralCrossRef

go back to reference Ramspek CL, Steyerberg EW, Riley RD, Rosendaal FR, Dekkers OM, Dekker FW, van Diepen M. Prediction or causality? A scoping review of their conflation within current observational research. Eur J Epidemiol. 2021;36:889–98.PubMedPubMedCentralCrossRef Ramspek CL, Steyerberg EW, Riley RD, Rosendaal FR, Dekkers OM, Dekker FW, van Diepen M. Prediction or causality? A scoping review of their conflation within current observational research. Eur J Epidemiol. 2021;36:889–98.PubMedPubMedCentralCrossRef

go back to reference Matta M, Huybrechts I, Biessy C, Casagrande C, Yammine S, Fournier A, Olsen KS, Lukic M, Gram IT, Ardanaz E, Sánchez M-J, Dossus L, Fortner RT, Srour B, Jannasch F, Schulze MB, Amiano P, Agudo A, Colorado-Yohar S, Quirós JR, Tumino R, Panico S, Masala G, Pala V, Sacerdote C, Tjønneland A, Olsen A, Dahm CC, Rosendahl AH, Borgquist S, Wennberg M, Heath AK, Aune D, Schmidt J, Weiderpass E, Chajes V, Gunter MJ, Murphy N. Dietary intake of trans fatty acids and breast cancer risk in 9 European countries. BMC Med. 2021;19:81.PubMedPubMedCentralCrossRef Matta M, Huybrechts I, Biessy C, Casagrande C, Yammine S, Fournier A, Olsen KS, Lukic M, Gram IT, Ardanaz E, Sánchez M-J, Dossus L, Fortner RT, Srour B, Jannasch F, Schulze MB, Amiano P, Agudo A, Colorado-Yohar S, Quirós JR, Tumino R, Panico S, Masala G, Pala V, Sacerdote C, Tjønneland A, Olsen A, Dahm CC, Rosendahl AH, Borgquist S, Wennberg M, Heath AK, Aune D, Schmidt J, Weiderpass E, Chajes V, Gunter MJ, Murphy N. Dietary intake of trans fatty acids and breast cancer risk in 9 European countries. BMC Med. 2021;19:81.PubMedPubMedCentralCrossRef

go back to reference Obermeyer Z, Emanuel EJ. Predicting the Future - Big Data, Machine Learning, and Clinical Medicine. N Engl J Med. 2016;375:1216–9.PubMedPubMedCentralCrossRef Obermeyer Z, Emanuel EJ. Predicting the Future - Big Data, Machine Learning, and Clinical Medicine. N Engl J Med. 2016;375:1216–9.PubMedPubMedCentralCrossRef

go back to reference Gao Y, Li S, Jin Y, Zhou L, Sun S, Xu X, Li S, Yang H, Zhang Q, Wang Y. An Assessment of the Predictive Performance of Current Machine Learning-Based Breast Cancer Risk Prediction Models: Systematic Review. JMIR Public Health Surveill. 2022;8:e35750.PubMedPubMedCentralCrossRef Gao Y, Li S, Jin Y, Zhou L, Sun S, Xu X, Li S, Yang H, Zhang Q, Wang Y. An Assessment of the Predictive Performance of Current Machine Learning-Based Breast Cancer Risk Prediction Models: Systematic Review. JMIR Public Health Surveill. 2022;8:e35750.PubMedPubMedCentralCrossRef

go back to reference Rudin C. Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead. Nature Machine Intelligence. 2019;1:206–15.PubMedPubMedCentralCrossRef Rudin C. Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead. Nature Machine Intelligence. 2019;1:206–15.PubMedPubMedCentralCrossRef

go back to reference de Hond AAH, Leeuwenberg AM, Hooft L, Kant IMJ, Nijman SWJ, van Os HJA, Aardoom JJ, Debray TPA, Schuit E, van Smeden M, Reitsma JB, Steyerberg EW, Chavannes NH, Moons KGM. Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review. NPJ Digit Med. 2022;5:2.PubMedPubMedCentralCrossRef de Hond AAH, Leeuwenberg AM, Hooft L, Kant IMJ, Nijman SWJ, van Os HJA, Aardoom JJ, Debray TPA, Schuit E, van Smeden M, Reitsma JB, Steyerberg EW, Chavannes NH, Moons KGM. Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review. NPJ Digit Med. 2022;5:2.PubMedPubMedCentralCrossRef

go back to reference Steyerberg EW, Vergouwe Y. Towards better clinical prediction models: seven steps for development and an ABCD for validation. Eur Heart J. 2014;35:1925–31.PubMedPubMedCentralCrossRef Steyerberg EW, Vergouwe Y. Towards better clinical prediction models: seven steps for development and an ABCD for validation. Eur Heart J. 2014;35:1925–31.PubMedPubMedCentralCrossRef

go back to reference Binuya MAE, Engelhardt EG, Schats W, Schmidt MK, Steyerberg EW. Methodological guidance for the evaluation and updating of clinical prediction models: a systematic review. BMC Med Res Methodol. 2022;22:316.PubMedPubMedCentralCrossRef Binuya MAE, Engelhardt EG, Schats W, Schmidt MK, Steyerberg EW. Methodological guidance for the evaluation and updating of clinical prediction models: a systematic review. BMC Med Res Methodol. 2022;22:316.PubMedPubMedCentralCrossRef

go back to reference Collins GS, Reitsma JB, Altman DG, Moons KGM. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement. BMC Med. 2015;13:1.PubMedPubMedCentralCrossRef Collins GS, Reitsma JB, Altman DG, Moons KGM. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement. BMC Med. 2015;13:1.PubMedPubMedCentralCrossRef

go back to reference Heus P, Reitsma JB, Collins GS, Damen JAAG, Scholten RJPM, Altman DG, et al. Transparent reporting of multivariable prediction models in journal and conference abstracts: TRIPOD for abstracts. Ann Intern Med. 2020. https://doi.org/10.7326/M20-0193.CrossRefPubMed Heus P, Reitsma JB, Collins GS, Damen JAAG, Scholten RJPM, Altman DG, et al. Transparent reporting of multivariable prediction models in journal and conference abstracts: TRIPOD for abstracts. Ann Intern Med. 2020. https://​doi.​org/​10.​7326/​M20-0193.CrossRefPubMed

go back to reference Zamanipoor Najafabadi AH, Ramspek CL, Dekker FW, et al. TRIPOD statement: a preliminary pre-post analysis of reporting and methods of prediction models. BMJ Open. 2020;10:e041537. https://doi.org/10.1136/bmjopen-2020-041537. Zamanipoor Najafabadi AH, Ramspek CL, Dekker FW, et al. TRIPOD statement: a preliminary pre-post analysis of reporting and methods of prediction models. BMJ Open. 2020;10:e041537. https://​doi.​org/​10.​1136/​bmjopen-2020-041537.