Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 259

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

Big data analysis of treatment patterns and outcomes among elderly acute myeloid leukemia patients in the United States

Open access
Medeiros, Bruno C., Satram-Hoang, Sacha, Hurst, Deborah, Hoang, Khang Q., Momin, Faiyaz, Reyes, Carolina·2015·Annals of Hematology

Abstract

Over half of patients diagnosed with acute myeloid leukemia (AML) are 65 years or older. We examined patient characteristics, treatment patterns, and survival among elderly patients in routine clinical practice. We utilized a retrospective cohort analysis of first primary AML patients in the linked Surveillance, Epidemiology, and End Results (SEER)-Medicare database. Patients were diagnosed between January 1, 2000 and December 31, 2009, >66 years, and continuously enrolled in Medicare Part A and B in the year prior to diagnosis. Kaplan-Meier curves and Cox proportional hazards regression assessed overall survival by treatment. There were 3327 (40 %) patients who received chemotherapy within 3 months of diagnosis. Treated patients were more likely younger, male, and married, and less likely to have secondary AML and poor performance indicators and comorbidity score compared to untreated patients. In multivariate survival analysis, treated patients exhibited a significant 33 % lower risk of death compared to untreated patients. Significant survival benefits were noted with receipt of intensive and hypomethylating agent (HMA) therapies compared to no therapy. A survival benefit with allogeneic hematopoietic stem cell transplantation was seen in younger Medicare patients. This real-world study showed that about 60 % of elderly AML patients remain untreated following diagnosis. Use of anti-leukemic therapy was associated with a significant survival benefit in this elderly cohort.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s00277-015-2351-x

Cites

37 of 37 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 37 references

Cited by

See all 259

Metadata

Authors
Medeiros, B. C., Satram-Hoang, S., Hurst, D., Hoang, K. Q., Momin, F., & Reyes, C.
Venue
Annals of Hematology
Published
2015-03-20
Volume
94
Issue
7
Pages
1127-1138
ISSN
  • 0939-5555 (ISSN-L)
  • 1432-0584
OpenAlex
W1970758655
Cited by
259
References
37
FWCI
18.09
Type
journal article
Language
en
Open access
hybrid

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: Big data analysis of treatment patterns and outcomes among elderly acute myeloid leukemia patients in the United States. https://app.cochat.ai/papers/10.1007/s00277-015-2351-x
The paper
Medeiros, B. C., Satram-Hoang, S., Hurst, D., Hoang, K. Q., Momin, F., & Reyes, C. (2015). Big data analysis of treatment patterns and outcomes among elderly acute myeloid leukemia patients in the United States. Annals of Hematology. https://doi.org/10.1007/s00277-015-2351-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.