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Effect of donor type and conditioning regimen intensity on allogeneic transplantation outcomes in patients with sickle cell disease: a retrospective multicentre, cohort study

Eapen, Mary, Brazauskas, Ruta, Walters, Mark C, Bernaudin, Françoise, Bo-Subait, Khalid, Fitzhugh, Courtney D, Hankins, Jane S, Kanter, Julie, Meerpohl, Joerg J, Bolaños-Meade, Javier, Panepinto, Julie A, Rondelli, Damiano, Shenoy, Shalini, Williamson, Joi, Woolford, Teonna L, Gluckman, Eliane, Wagner, John E, Tisdale, John F·2019·The Lancet Haematology
DOI 10.1016/s2352-3026(19)30154-1PMC PMC6813907
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Research works printed but not linked: 30

  1. Quinn, 2004, Survival of children with sickle cell disease, Blood, 103, 4023, 10.1182/blood-2003-11-3758 · DOI
  2. Lanzkron, 2013, Mortality rates and age at death from sickle cell disease: US, 1979–2005, Public Health Rep, 128, 110, 10.1177/003335491312800206 · DOI · Paper page
  3. Elmariah, 2014, Factors associated with survival in a contemporary adult sickle cell disease cohort, Am J Hematol, 89, 530, 10.1002/ajh.23683 · DOI
  4. Gladwin, 2014, Risk factors for death in 632 patients with sickle cell disease in the United States and United Kingdom, PLos One, 9, 10.1371/journal.pone.0099489 · DOI · Paper page
  5. Walters, 1996, Bone marrow transplantation for sickle cell disease, N Engl J Med, 335, 369, 10.1056/NEJM199608083350601 · DOI
  6. Bernaudin, 2007, Long-term results of related myeloablative stem-cell transplantation to cure sickle cell disease, Blood, 110, 2749, 10.1182/blood-2007-03-079665 · DOI
  7. Hsieh, 2014, Nonmyeloablative HLA-matched sibling allogeneic hematopoietic stem cell transplantation for severe sickle cell phenotype, JAMA, 312, 48, 10.1001/jama.2014.7192 · DOI
  8. Gluckman, 2017, Sickle cell disease: an international survey of results of HLA-identical sibling hematopoietic stem cell transplantation, Blood, 129, 1548, 10.1182/blood-2016-10-745711 · DOI
  9. Garget, 2014, HLA-match likelihoods for hematopoietic stem-cell grafts in the US registry, N Engl J Med, 371, 339, 10.1056/NEJMsa1311707 · DOI
  10. Bolanos-Meade, 2012, HLA-haploidentical bone marrow transplantation with posttransplant cyclophosphamide expands the donor pool for patients with sickle cell disease, Blood, 120, 4285, 10.1182/blood-2012-07-438408 · DOI
  11. Shenoy, 2016, A trial of unrelated donor marrow transplantation for children with severe sickle cell disease, Blood, 128, 2561, 10.1182/blood-2016-05-715870 · DOI
  12. Foell, 2017, Haploidentical stem cell transplantation with Cd3+/CD19+ depleted peripheral stem cells for patients with advanced stage sickle cell disease and no alternative donor: results of a pilot study, Bone Marrow Transplant, 52, 938, 10.1038/bmt.2017.49 · DOI
  13. Fitzhugh, 2017, Cyclophosphamide improves engraftment in patients with SCD and severe organ damage who undergo haploidentical PBSCT, Blood Adv, 1, 652, 10.1182/bloodadvances.2016002972 · DOI
  14. Bacigalupo, 2009, Defining the intensity of conditioning regimens: working definitions, Biol Blood Marrow Transplant, 15, 1628, 10.1016/j.bbmt.2009.07.004 · DOI
  15. Olsson, 2013, Graft failure in the modern era of allogeneic hematopoietic SCT, Bone Marrow Transplant, 48, 537, 10.1038/bmt.2012.239 · DOI
  16. Przepiorka, 1995, 1994 consensus conference on acute GVHD grading, Bone Marrow Transplant, 15, 825
  17. Atkinson, 1989, Committee of the International Bone Marrow Transplant Registry. Consensus among bone marrow transplanters for diagnosis, grading and treatment of chronic graft versus host disease, Bone Marrow Transplant, 4, 247
  18. Lin, 1997, Non-parametric inference for cumulative incidence functions in competing risks, Stat Med, 16, 901, 10.1002/(SICI)1097-0258(19970430)16:8<901::AID-SIM543>3.0.CO;2-M · DOI
  19. Cox, 1972, Regression model and life-tables, J R Stat Soc Series B, 34, 187, 10.1111/j.2517-6161.1972.tb00899.x · DOI · Paper page
  20. Zhang, 2007, A SAS macro for estimation of direct adjusted survival curves based on a stratified Cox regression model, Comput Methods Programs Biomed, 88, 95, 10.1016/j.cmpb.2007.07.010 · DOI
  21. Horan, 2012, Evaluation of HLA matching in unrelated hematopoietic stem cell transplantation for nonmalignant disorders, Blood, 120, 2918, 10.1182/blood-2012-03-417758 · DOI
  22. Eapen, 2017, Allele-level HLA matching for umbilical cord blood transplantation for non-malignant diseases in children: a retrospective analysis, Lancet Haematol, 4, e325, 10.1016/S2352-3026(17)30104-7 · DOI
  23. de la Fuente, 2018, Haploidentical bone marrow transplant with post-transplant cyclophosphamide plus thiotepa improves donor engraftment in patients with sickle cell anemia: results of an international learning collaborative, Biol Blood Marrow Transplant, 25, 1197, 10.1016/j.bbmt.2018.11.027 · DOI
  24. Bolaños-Meade, 2019, Effect of increased dose of total body irradiation on graft failure associated with HLA-haploidentical transplantation in patients with severe hemoglobinopathies: a prospective clinical trial, Lancet Haematol, 4, e183, 10.1016/S2352-3026(19)30031-6 · DOI
  25. Fitzhugh, 2013, Sirolimus and post transplant CY synergistically maintain mixed chimerism in a mismatched murine model, Bone Marrow Transplant, 48, 1335, 10.1038/bmt.2013.60 · DOI
  26. Al-Homsi, 2015, Post-transplant cyclophosphamide for the prevention of graft-versus-host disease, Biol Blood Marrow Transplant, 21, 604, 10.1016/j.bbmt.2014.08.014 · DOI
  27. Jagasia, 2012, Risk factors for acute GVHD and survival after hematopoietic cell transplantation, Blood, 119, 296, 10.1182/blood-2011-06-364265 · DOI
  28. Thakar, 2019, The hematopoietic cell transplant comorbidity index predicts survival after allogeneic transplant for non-malignant diseases, Blood, 133, 754, 10.1182/blood-2018-09-876284 · DOI
  29. Brunson, 2017, Increased risk of leukemia among sickle cell disease patients in California, Blood, 130, 1597, 10.1182/blood-2017-05-783233 · DOI · Paper page
  30. Urbinati, 2018, Gene therapy for sickle cell disease: a lentiviral vector comparison study, Hum Gene Ther, 29, 1153, 10.1089/hum.2018.061 · DOI

Cited by

Metadata

Authors
Eapen, M., Brazauskas, R., Walters, M. C., Bernaudin, F., Bo-Subait, K., Fitzhugh, C. D., Hankins, J. S., Kanter, J., Meerpohl, J. J., Bolaños-Meade, J., Panepinto, J. A., Rondelli, D., Shenoy, S., Williamson, J., Woolford, T. L., Gluckman, E., Wagner, J. E., & Tisdale, J. F.
Venue
The Lancet Haematology
Publisher
Elsevier BV
Published
2019-11
Volume
6
Issue
11
Pages
e585-e596
ISSN
2352-3026
DOI
10.1016/s2352-3026(19)30154-1
PMC
PMC6813907
Cited by
206
References
0
Language
en
Licence
Funders
  • National Institutes of Health (HHSH 250201200016C)
  • U.S. Department of Health and Human Services

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