| Title |
The incidence and associations of malignancy in a large cohort of patients with biopsy-determined idiopathic inflammatory myositis
|
|---|---|
| Published in |
Rheumatology International, July 2012
|
| DOI | 10.1007/s00296-012-2489-y |
| Pubmed ID | |
| Authors |
Vidya Limaye, Colin Luke, Graeme Tucker, Catherine Hill, Susan Lester, Peter Blumbergs, Peter Roberts-Thomson |
| Abstract |
The South Australian (SA) myositis database has registered all patients with biopsy-proven inflammatory myositis in SA from 1980 to 2009. We determined the incidence and associations of malignancy in myositis by linking this database with the SA cancer registry. Standardized incidence ratios (SIR) for malignancy were determined using the total SA population over the same time period, stratified by age and gender. The SIR for cancer in the myositis population (n = 373) was 1.39, p = 0.047. There was a trend towards an increased SIR in dermatomyositis but no increased risk of malignancy in polymyositis or inclusion body myositis. Malignancies of the lung and prostate were the commonest and 28 % of malignancies occurred within one year of IIM diagnosis. The odds of developing cancer were significantly raised in the presence of a shawl sign, male gender, and in patients with overlap syndrome or rheumatoid arthritis whilst myalgia was a significant protective factor. HLA-A28 allele was overrepresented in patients with malignancy (11 vs 2 %, p = 0.006). Patients in SA with myositis are at modestly increased risk for malignancy. We report clinical and genetic risk factors allowing the identification of patients at greatest risk for malignancy. |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 9 | 18% |
| Student > Master | 7 | 14% |
| Student > Bachelor | 6 | 12% |
| Student > Postgraduate | 5 | 10% |
| Researcher | 3 | 6% |
| Other | 9 | 18% |
| Unknown | 12 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 53% |
| Unspecified | 1 | 2% |
| Psychology | 1 | 2% |
| Mathematics | 1 | 2% |
| Chemistry | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 19 | 37% |
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 August 2012.
All research outputs
#15,247,248
of 22,671,366 outputs
Outputs from Rheumatology International
#1,530
of 2,172 outputs
Outputs of similar age
#104,441
of 164,574 outputs
Outputs of similar age from Rheumatology International
#10
of 21 outputs
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