The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Comorbidity and Disease Status–Based Risk Stratification of Outcomes Among Patients With Acute Myeloid Leukemia or Myelodysplasia Receiving Allogeneic Hematopoietic Cell Transplantation
Open accessAbstract
Purpose: Retrospective studies have shown similar survival among patients with acute myeloid leukemia (AML) and myelodysplasia (MDS) after nonmyeloablative compared with myeloablative conditioning. Refined risk stratification is required to design prospective trials. Patients and Methods: We stratified outcomes among patients with AML (n = 391) or MDS (n = 186) who received either nonmyeloablative (n = 125) or myeloablative (n = 452) allogeneic hematopoietic cell transplantation (HCT) based on comorbidities, as assessed by a HCT-specific comorbidity index (HCT-CI), as well as disease status. Patients receiving nonmyeloablative conditioning were older, more frequently pretreated, more often received unrelated grafts, and more often had HCT-CI scores of ≥ 3 compared with patients who received myeloablative conditioning. Results: Patients with HCT-CI scores of 0 to 2 and either low or high disease risks had probabilities of overall survival at 2 years of 70% and 57% after nonmyeloablative conditioning compared with 78% and 50% after myeloablative conditioning, respectively. Patients with HCT-CI scores of ≥ 3 and either low or high disease risks had probabilities of overall survival of 41% and 29% with nonmyeloablative conditioning compared with 45% and 24% with myeloablative regimens, respectively. After adjusting for pretransplantation differences, stratified outcomes were not significantly different among patients receiving nonmyeloablative compared with myeloablative conditioning, with the exception of lessened nonrelapse mortality (hazard ratio, 0.50; P = .05) in the highest risk group. Conclusion: Patients with low comorbidity scores could be candidates for prospective randomized trials comparing nonmyeloablative and myeloablative conditioning regardless of disease status. Additional data are required for patients with low-risk diseases and high comorbidity scores. Novel antitumor agents combined with nonmyeloablative HCT should be explored among patients with high comorbidity scores and advanced disease.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. Adults
Calle, E. E., Rodriguez, C., Walker-Thurmond, K., & Thun, M. J. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa021423 · Cited by 7,696
International scoring system for evaluating prognosis in myelodysplastic syndromes
Greenberg, P., Cox, C., LeBeau, M. M., Fenaux, P., Morel, P., Sanz, G., Sanz, M., Vallespi, T., Hamblin, T., Oscier, D., et al. (1997) · Blood · doi:10.1182/blood.v89.6.2079 · Cited by 4,427
Sorror, M. L., Maris, M. B., Storb, R., Baron, F., Sandmaier, B. M., Maloney, D. G., & Storer, B. (2005) · Blood · doi:10.1182/blood-2005-05-2004 · Cited by 2,969
Self-citationEfficacy of Lenalidomide in Myelodysplastic Syndromes
List, A., Kurtin, S., Roe, D. J., Buresh, A., Mahadevan, D., Fuchs, D., Rimsza, L., Heaton, R., Knight, R., & Zeldis, J. B. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa041668 · Cited by 880
Cited by
Cooley, S., Weisdorf, D. J., Guethlein, L. A., Klein, J. P., Wang, T., Le, C. T., Marsh, S. G. E., Geraghty, D., Spellman, S., Haagenson, M. D., et al. (2010) · Blood · doi:10.1182/blood-2010-05-283051 · Cited by 591
Cornelissen, J. J., Gratwohl, A., Schlenk, R. F., Sierra, J., Bornhäuser, M., Juliusson, G., Råcil, Z., Rowe, J. M., Russell, N., Mohty, M., et al. (2012) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2012.150 · Cited by 400
Gratwohl, A., Stern, M., Brand, R., Apperley, J., Baldomero, H., de Witte, T., Dini, G., Rocha, V., Passweg, J., Sureda, A., et al. (2009) · Cancer · doi:10.1002/cncr.24531 · Cited by 379
Sureda, A., Bader, P., Cesaro, S., Dreger, P., Duarte, R. F., Dufour, C., Falkenburg, J. H. F., Farge-Bancel, D., Gennery, A., Kröger, N., et al. (2015) · Bone Marrow Transplantation · doi:10.1038/bmt.2015.6 · Cited by 337
Optimizing Therapy for Iron Overload in the Myelodysplastic Syndromes: Recent Developments
Leitch, H. A. (2011) · Drugs · doi:10.2165/11585280-000000000-00000 · Cited by 17
Metadata
- Authors
- Sorror, M. L., Sandmaier, B. M., Storer, B. E., Maris, M. B., Baron, F., Maloney, D. G., Scott, B. L., Deeg, H. J., Appelbaum, F. R., & Storb, R.
- Venue
- Journal of Clinical Oncology
- Published
- 2007-09-20
- Volume
- 25
- Issue
- 27
- Pages
- 4246-4254
- ISSN
- 0732-183X (ISSN-L)
- 1527-7755
- OpenAlex
- W2117550229
- Cited by
- 397
- References
- 4
- FWCI
- 17.59
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.