| Title |
Prevalence of hypercalcemia of malignancy among pediatric cancer patients in the UK Clinical Practice Research Datalink database
|
|---|---|
| Published in |
Clinical Epidemiology, June 2017
|
| DOI | 10.2147/clep.s137616 |
| Pubmed ID | |
| Authors |
Susan Jick, Lin Li, Victor M Gastanaga, Alexander Liede, Rohini K Hernandez |
| Abstract |
The reported proportion of cancer patients who experience hypercalcemia of malignancy (HCM) is low, particularly in the pediatric population, ranging between <1% and 5%. HCM can be observed with any type of tumor in children and occurs most commonly with leukemia. While HCM is a potentially fatal condition, the prevalence of HCM is not well understood in pediatric cancer patients. Using the UK Clinical Practice Research Datalink, we identified pediatric cancer patients with recorded corrected serum calcium (CSC) from 2003 through 2014. Hypercalcemic patients (CSC ≥10.8 mg/dL) were classified into 4 CSC levels. We estimated the annual prevalence of HCM using Byar's method. Among 517 pediatric cancer patients, leukemia, lymphoma, and brain tumors were the most frequent cancer types. The prevalence of HCM overall (grade 1 or higher) ranged from 0.24% to 0.81% between 2003 and 2014. There were too few cases to compare prevalence by type of cancer. We provide the first systematic analysis using a UK population-based data source to estimate the number of pediatric cancer patients affected with HCM by grade. Our findings showed that the prevalence of pediatric HCM was very low (0.24%-0.81%) over the 12-year study period, which is consistent with previous study of adult cancer patients in the UK (0.20%-0.67%). |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 5 | 22% |
| Researcher | 5 | 22% |
| Student > Ph. D. Student | 4 | 17% |
| Student > Doctoral Student | 1 | 4% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 6 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 30% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 13% |
| Biochemistry, Genetics and Molecular Biology | 2 | 9% |
| Economics, Econometrics and Finance | 2 | 9% |
| Neuroscience | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 8 | 35% |
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 04 July 2017.
All research outputs
#20,431,953
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Outputs from Clinical Epidemiology
#667
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#275,584
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Outputs of similar age from Clinical Epidemiology
#11
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