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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Detection of anti-drug antibodies using a bridging ELISA compared with radioimmunoassay in adalimumab-treated rheumatoid arthritis patients with random drug levels
|
|---|---|
| Published in |
Rheumatology, August 2016
|
| DOI | 10.1093/rheumatology/kew299 |
| Pubmed ID | |
| Authors |
Meghna Jani, John D. Isaacs, Ann W. Morgan, Anthony G. Wilson, Darren Plant, Kimme L. Hyrich, Hector Chinoy, Anne Barton |
| Abstract |
To determine the concordance between RIA and bridging ELISA at detecting anti-drug antibodies (ADAbs) in the context of random adalimumab levels and investigate the additional clinical utility of detecting ADAbs in RA patients who test ADAb positive by RIA and negative by ELISA. ADAb levels were determined using RIA and bridging ELISA in 63 adalimumab-treated RA patients (159 samples). Immunogenicity concordance was determined using receiver operating characteristic curves. To determine the additional clinical value provided by a positive RIA in the presence of negative ELISA, association between treatment response (ΔDAS28), adalimumab drug levels and ADAbs was evaluated longitudinally using generalized estimating equation. Of the 60 RIA(+) samples (n = 31 patients), 19 (n = 10 patients) were also ELISA(+), corresponding to 31.7% of samples. Area under the curve for detecting ADAbs using ELISA (compared with RIA) using receiver operating characteristic curves was 0.65 (95% CI: 0.59, 0.71); this increased to 0.91 (95% CI: 0.81, 0.99) if ADAbs were ⩾100 AU/ml using RIA. In RIA(+)/ELISA(-) patients, adalimumab levels were associated with ΔDAS28 over 12 months [regression coefficient: 0.098 (95% CI: 0.043, 0.15), P < 0.0001] and while ADAbs were significantly associated with drug level, they were not directly associated with ΔDAS28 over 12 months [β coefficient: 0.00083 (95% CI: -0.0038 to 0.0054), P = 0.72]. ADAbs were detected using ELISA more frequently when present in high titres as measured by RIA. In RIA(+)/ELISA(-) patients, only drug levels were significantly associated with treatment response. Although ADAbs were not independently associated with treatment response, they may be helpful in determining the aetiology of low drug levels. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 25% |
| Spain | 2 | 25% |
| Ireland | 1 | 13% |
| Australia | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 3 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Unknown | 73 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 16% |
| Student > Master | 11 | 15% |
| Student > Ph. D. Student | 9 | 12% |
| Student > Bachelor | 8 | 11% |
| Professor | 5 | 7% |
| Other | 15 | 20% |
| Unknown | 14 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 35% |
| Biochemistry, Genetics and Molecular Biology | 8 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 9% |
| Agricultural and Biological Sciences | 5 | 7% |
| Immunology and Microbiology | 5 | 7% |
| Other | 8 | 11% |
| Unknown | 15 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 October 2018.
All research outputs
#1,891,076
of 23,340,595 outputs
Outputs from Rheumatology
#586
of 6,352 outputs
Outputs of similar age
#34,982
of 341,922 outputs
Outputs of similar age from Rheumatology
#5
of 53 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,352 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done particularly well, scoring higher than 90% 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 341,922 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 89% of its contemporaries.
We're also able to compare this research output to 53 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.