The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Myelodysplastic syndromes: a scoring system with prognostic significance
Abstract
S ummary 141 patients with MDS were classified according to the FAB criteria and followed up for a period of 4–192 months. It was recognized that patients with RAEBT had a uniformly poor prognosis. However, there was a wide variation in survival among the other subgroups. A score of 1 was assigned to each of the following presenting haematological features: bone marrow blasts ≤ 5%, platelets ≤ 100 × 10 9/1, neutrophils ≤ 2.5 × 10 9/1 and Hb ≤ 10.0 g/dl. Therefore the score for each patient ranged between 0 and 4. There were no statistically significant differences between those patients who scored 0 or 1, or between those who scored 2 and 3. Therefore patients were put into three groups: Group A (score 0 or 1), Group B (score 2 or 3), Group C (score 4). The differences in survival between each of the three groups are highly significant (P<0.00001). This system further separates patients with RA, RAS, RAEB into good and bad prognostic groups. This study also confirms that deaths due to cytopenias are more common than those due to transformation to AML. The use of this scoring system in conjunction with the FAB criteria for MDS should serve as a prognostic tool on which to base treatment.
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
Nonparametric Estimation from Incomplete Observations
Kaplan, E. L., & Meier, P. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-4380-9_25 · Cited by 45,181
Nonparametric Estimation from Incomplete Observations
Kaplan, E. L., & Meier, P. (1958) · Journal of the American Statistical Association · doi:10.1080/01621459.1958.10501452 · Cited by 39,158
Peto, R., Pike, M. C., Armitage, P., Breslow, N. E., Cox, D. R., Howard, S. V., Mantel, N., McPherson, K., Peto, J., & Smith, P. G. (1977) · British Journal of Cancer · doi:10.1038/bjc.1977.1 · Cited by 8,285
A RAPID BANDING TECHNIQUE FOR HUMAN CHROMOSOMES
Seabright, M. (1971) · The Lancet · doi:10.1016/s0140-6736(71)90287-x · Cited by 4,992
Proposals for the classification of the myelodysplastic syndromes
Bennett, J. M., Catovsky, D., Daniel, M. T., Flandrin, G., Galton, D. A. G., Gralnick, H. R., & Sultan, C. (1982) · British Journal of Haematology · doi:10.1111/j.1365-2141.1982.tb08475.x · Cited by 3,627
Proposals for the classification of the myelodysplastic syndromes
Bennett, J. M., Catovsky, D., Daniel, M., Flandrin, G., Galton, D. A. G., Gralnick, H. R., & Sultan, C. (1982) · British Journal of Haematology · doi:10.1111/j.1365-2141.1982.tb02771.x · Cited by 1,275
Peto, R., & Pike, M. C. (1973) · PubMed · Cited by 659
Beutler, E., Blume, K. G., Kaplan, J. C., Löhr, G. W., Ramot, B., & Valentine, W. N. (1977) · British Journal of Haematology · doi:10.1111/j.1365-2141.1977.tb00589.x · Cited by 533
Peto, R., & Pike, M. C. (1973) · Biometrics · doi:10.2307/2529177 · Cited by 506
PRELEUKEMIC ACUTE HUMAN LEUKEMIA
BLOCK, M. H. (1953) · JAMA · doi:10.1001/jama.1953.03690110032010 · Cited by 295
Cited by
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
Self-citationSchanz, J., Tüchler, H., Solé, F., Mallo, M., Luño, E., Cervera, J., Granada, I., Hildebrandt, B., Slovak, M. L., Ohyashiki, K., et al. (2012) · Journal of Clinical Oncology · doi:10.1200/jco.2011.35.6394 · Cited by 688
Metadata
- Authors
- Mufti, G. J., Stevens, J. R., Oscier, D. G., Hamblin, T. J., & Machin, D.
- Venue
- British Journal of Haematology
- Publisher
- Wiley
- Published
- 1985-03
- Volume
- 59
- Issue
- 3
- Pages
- 425-433
- ISSN
- 0007-1048 (ISSN-L)
- 1365-2141
- OpenAlex
- W2022106508
- Cited by
- 507
- References
- 13
- FWCI
- 13.02
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Myelodysplastic syndromes: a scoring system with prognostic significance. https://app.cochat.ai/papers/10.1111/j.1365-2141.1985.tb07329.x
- The paper
- Mufti, G. J., Stevens, J. R., Oscier, D. G., Hamblin, T. J., & Machin, D. (1985). Myelodysplastic syndromes: a scoring system with prognostic significance. British Journal of Haematology. https://doi.org/10.1111/j.1365-2141.1985.tb07329.x
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.
