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Development and validation of multivariable predictive model for thromboembolic events in lymphoma patients

Overview of attention for article published in American Journal of Hematology, July 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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1 blog
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4 Wikipedia pages

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58 Dimensions

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66 Mendeley
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Title
Development and validation of multivariable predictive model for thromboembolic events in lymphoma patients
Published in
American Journal of Hematology, July 2016
DOI 10.1002/ajh.24466
Pubmed ID
Authors

Darko Antic, Natasa Milic, Srdjan Nikolovski, Milena Todorovic, Jelena Bila, Predrag Djurdjevic, Bosko Andjelic, Vladislava Djurasinovic, Aleksandra Sretenovic, Vojin Vukovic, Jelena Jelicic, Suzanne Hayman, Biljana Mihaljevic

Abstract

Lymphoma patients are at increased risk of thromboembolic events but thromboprophylaxis in these patients is largely underused. We sought to develop and validate a simple model, based on individual clinical and laboratory patient characteristics that would designate lymphoma patients at risk for thromboembolic event. The study population included 1,820 lymphoma patients who were treated in the Lymphoma Departments at the Clinics of Hematology, Clinical Center of Serbia and Clinical Center Kragujevac. The model was developed using data from a derivation cohort (n = 1,236), and further assessed in the validation cohort (n = 584). Sixty-five patients (5.3%) in the derivation cohort and 34 (5.8%) patients in the validation cohort developed thromboembolic events. The variables independently associated with risk for thromboembolism were: previous venous and/or arterial events, mediastinal involvement, BMI>30 kg/m(2) , reduced mobility, extranodal localization, development of neutropenia and hemoglobin level < 100g/L. Based on the risk model score, the population was divided into the following risk categories: low (score 0-1), intermediate (score 2-3), and high (score >3). For patients classified at risk (intermediate and high-risk scores), the model produced negative predictive value of 98.5%, positive predictive value of 25.1%, sensitivity of 75.4%, and specificity of 87.5%. A high-risk score had positive predictive value of 65.2%. The diagnostic performance measures retained similar values in the validation cohort. Developed prognostic Thrombosis Lymphoma - ThroLy score is more specific for lymphoma patients than any other available score targeting thrombosis in cancer patients. Am. J. Hematol., 2016. © 2016 Wiley Periodicals, Inc.

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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 %
France 1 2%
Unknown 65 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 15%
Student > Ph. D. Student 9 14%
Student > Bachelor 7 11%
Other 5 8%
Researcher 4 6%
Other 13 20%
Unknown 18 27%
Readers by discipline Count As %
Medicine and Dentistry 35 53%
Engineering 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Nursing and Health Professions 1 2%
Agricultural and Biological Sciences 1 2%
Other 6 9%
Unknown 20 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 14 January 2024.
All research outputs
#3,065,584
of 25,365,817 outputs
Outputs from American Journal of Hematology
#543
of 3,700 outputs
Outputs of similar age
#53,147
of 374,416 outputs
Outputs of similar age from American Journal of Hematology
#7
of 62 outputs
Altmetric has tracked 25,365,817 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,700 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has done well, scoring higher than 85% 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 374,416 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.