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Dove Medical Press

Systematic review of health state utility values for acute myeloid leukemia

Overview of attention for article published in ClinicoEconomics and Outcomes Research: CEOR, January 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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1 policy source
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66 Mendeley
Title
Systematic review of health state utility values for acute myeloid leukemia
Published in
ClinicoEconomics and Outcomes Research: CEOR, January 2018
DOI 10.2147/ceor.s153286
Pubmed ID
Authors

Anna Forsythe, Patricia S Brandt, Mike Dolph, Sachin Patel, Adrian Paul J Rabe, Gabriel Tremblay

Abstract

Cost-utility analyses for acute myeloid leukemia (AML) require health state utility values (HSUVs) in order to calculate quality-adjusted life-years (QALYs) for each health state. This study reviewed AML-related HSUVs that could be used in economic evaluation studies. EMBASE, MEDLINE, and Cochrane databases were searched from January 2000 to November 2016 for relevant studies that reported quality of life (QoL) and HSUVs in AML. Identified relevant European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 values were mapped to HSUVs. HSUVs for each health state in the AML treatment pathway were then collated. Ten relevant studies were identified. Six were cost-effectiveness analyses utilizing HSUVs for calculation of QALYs, one was an effectiveness analysis (incremental QALY), and two were QoL studies reporting AML-specific utilities. An additional study reported QoL for patients undergoing stem cell transplantation (SCT). Since no study reported HSUVs for relapse, values from a study of secondary AML patients who failed prior treatment for myelodysplastic syndrome were used. Where multiple HSUVs were available, collected values were given priority over assumed values. AML treatment (induction, consolidation, or SCT) was associated with decreased HSUV, while post-treatment complete remission led to increased HSUV. There are some methodologically robust HSUVs that can be directly used in economic evaluations for AML. Careful interpretation is advised considering significant differences in methodologies and patient population (inclusion, size). We need to develop HSUVs with larger-sized studies, making greater use of condition-specific data.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 14%
Student > Bachelor 8 12%
Student > Master 7 11%
Other 6 9%
Student > Ph. D. Student 5 8%
Other 12 18%
Unknown 19 29%
Readers by discipline Count As %
Medicine and Dentistry 16 24%
Pharmacology, Toxicology and Pharmaceutical Science 8 12%
Biochemistry, Genetics and Molecular Biology 6 9%
Nursing and Health Professions 3 5%
Immunology and Microbiology 2 3%
Other 9 14%
Unknown 22 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 June 2023.
All research outputs
#7,856,238
of 25,584,565 outputs
Outputs from ClinicoEconomics and Outcomes Research: CEOR
#165
of 514 outputs
Outputs of similar age
#144,720
of 450,901 outputs
Outputs of similar age from ClinicoEconomics and Outcomes Research: CEOR
#4
of 9 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 514 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one has gotten more attention than average, scoring higher than 66% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 450,901 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.