The DOI matches its Crossref record.
Prognostic discrimination in "good-risk" chronic granulocytic leukemia
Abstract
The prognostic significance of disease features recorded at the time of diagnosis was examined among 813 patients with Philadelphia chromosome- positive, nonblastic chronic granulocytic leukemia (CGL) collected from six European and American series. The survival pattern for this population was typical of “good-risk” patients, and median survival was 47 mo. There were multiple interrelationships among different disease features, which led to highly significant correlations with survival for some that had no primary prognostic significance, such as hematocrit. Multivariable regression analysis indicated that spleen size and the percentage of circulating blasts were the most important prognostic indicators. These features, and age, behaved as continuous variables with progressively unfavorable import at higher values. The platelet count did not influence survival significantly at values below 700 X 10(9)/liter but was increasingly unfavorable above this level. Basophils plus eosinophils over 15%, more than 5% marrow blasts, and karyotypic abnormalities in addition to the Ph1 were also significant unfavorable signs. The Cox model, generated with four variables representing percent blasts, spleen size, platelet count, and age, provided a useful representation of risk status in this population, with good fit between predicted and observed survival over more than a twofold survival range. A hazard function derived from half of the patient population successfully segregated the remainder into three groups with significantly different survival patterns. We conclude that it should be possible to identify a lower risk group of patients with a 2-yr survival of 90%, subsequent risk averaging somewhat less than 20%/yr and median survival of 5 yr, an intermediate group, and a high- risk group with a 2-yr survival of 65%, followed by a death rate of about 35%/yr and median survival of 2.5 yr.
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
Cited by
European LeukemiaNet 2020 recommendations for treating chronic myeloid leukemia
Hochhaus, A., Baccarani, M., Silver, R. T., Schiffer, C., Apperley, J. F., Cervantes, F., Clark, R. E., Cortes, J. E., Deininger, M. W., Guilhot, F., et al. (2020) · Leukemia · doi:10.1038/s41375-020-0776-2 · Cited by 1,547
Self-citationCervantes, F., Dupriez, B., Pereira, A., Passamonti, F., Reilly, J. T., Morra, E., Vannucchi, A. M., Mesa, R. A., Demory, J.-L., Barosi, G., et al. (2009) · Blood · doi:10.1182/blood-2008-07-170449 · Cited by 1,255
Self-citationGene expression changes associated with progression and response in chronic myeloid leukemia
Radich, J. P., Dai, H., Mao, M., Oehler, V., Schelter, J., Druker, B., Sawyers, C., Shah, N., Stock, W., Willman, C. L., et al. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0510423103 · Cited by 583
Cortes, J. E., Kim, D.-W., Kantarjian, H. M., Brümmendorf, T. H., Dyagil, I., Griskevicius, L., Malhotra, H., Powell, C., Gogat, K., Countouriotis, A. M., et al. (2012) · Journal of Clinical Oncology · doi:10.1200/jco.2011.38.7522 · Cited by 466
Chronic Myelogenous Leukemia: Biology and Therapy
Faderl, S., Talpaz, M., Estrov, Z., & Kantarjian, H. M. (1999) · Annals of Internal Medicine · doi:10.7326/0003-4819-131-3-199908030-00008 · Cited by 462
Metadata
- Authors
- Sokal, J., Cox, E., Baccarani, M., Tura, S., Gomez, G., Robertson, J., Tso, C., Braun, T., Clarkson, B., & Cervantes, F.
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 1984-04-01
- Volume
- 63
- Issue
- 4
- Pages
- 789-799
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- OpenAlex
- W1799579309
- Cited by
- 1,214
- References
- 0
- FWCI
- 6.35
- 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: Prognostic discrimination in "good-risk" chronic granulocytic leukemia. https://app.cochat.ai/papers/10.1182/blood.v63.4.789.789
- The paper
- Sokal, J., Cox, E., Baccarani, M., Tura, S., Gomez, G., Robertson, J., Tso, C., Braun, T., Clarkson, B., & Cervantes, F. (1984). Prognostic discrimination in "good-risk" chronic granulocytic leukemia. Blood. https://doi.org/10.1182/blood.v63.4.789.789
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.