| Title |
Acute promyelocytic leukaemia is highly frequent among acute myeloid leukaemias in Brazil: a hospital-based cancer registry study from 2001 to 2012
|
|---|---|
| Published in |
Annals of Hematology, October 2016
|
| DOI | 10.1007/s00277-016-2846-0 |
| Pubmed ID | |
| Authors |
Luiz Claudio Santos Thuler, Maria S. Pombo-de-Oliveira |
| Abstract |
The WHO classification that defines subtypes of acute myeloid leukaemias (AMLs) is relatively unexplored at the population-based level. This study aimed to examine the frequency of acute promyelocytic leukaemia (APL or AML-M3) in Brazil. Data were extracted from 239 cancer centres (2001-2012) and categorized according to the International Classification of Diseases for Oncology (CID-O 3.0) and WHO classification (n = 9116). CID-O3 code 9866 identified 614 APL patients. AML not otherwise specified (NOS) was frequent, and the APL group represented the main subtype specified. The mean age of APL was lower than that of other AMLs (31.5, standard deviation (SD) 18.6 versus 40.9, SD 24.6; p < 0.001); there was a high frequency of APL in the 13-21-year-old (11.8 %) and ≤12.9-year-old (6.4 %) age groups. Time taken to begin treatment (as ≤14 days versus >14 days) and induction death rate were lower in APL than in other AML subtypes (p < 0.001). This report provides additional evidence on the distribution of APL among cases of AML in Brazil. |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 3% |
| Unknown | 33 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 15% |
| Student > Ph. D. Student | 5 | 15% |
| Student > Postgraduate | 5 | 15% |
| Researcher | 4 | 12% |
| Student > Master | 3 | 9% |
| Other | 5 | 15% |
| Unknown | 7 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 29% |
| Agricultural and Biological Sciences | 7 | 21% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Nursing and Health Professions | 2 | 6% |
| Other | 0 | 0% |
| Unknown | 10 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 February 2017.
All research outputs
#20,402,251
of 22,952,268 outputs
Outputs from Annals of Hematology
#1,731
of 2,193 outputs
Outputs of similar age
#273,990
of 316,712 outputs
Outputs of similar age from Annals of Hematology
#14
of 18 outputs
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