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Stem cells and beta cell replacement therapy: a prospective health technology assessment study

Overview of attention for article published in BMC Endocrine Disorders, January 2018
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Title
Stem cells and beta cell replacement therapy: a prospective health technology assessment study
Published in
BMC Endocrine Disorders, January 2018
DOI 10.1186/s12902-018-0233-7
Pubmed ID
Authors

Klemens Wallner, Rene G. Pedroza, Isaac Awotwe, James M. Piret, Peter A. Senior, A. M. James Shapiro, Christopher McCabe

Abstract

Although current beta cell replacement therapy is effective in stabilizing glycemic control in highly selected patients with refractory type 1 diabetes, many hurdles are inherent to this and other donor-based transplantation methods. One solution could be moving to stem cell-derived transplant tissue. This study investigates a novel stem cell-derived graft and implant technology and explores the circumstances of its cost-effectiveness compared to intensive insulin therapy. We used a manufacturing optimization model based on work by Simaria et al. to model cost of the stem cell-based transplant doses and integrated its results into a cost-effectiveness model of diabetes treatments. The disease model simulated marginal differences in clinical effects and costs between the new technology and our comparator intensive insulin therapy. The form of beta cell replacement therapy was as a series of retrievable subcutaneous implant devices which protect the enclosed pancreatic progenitors cells from the immune system. This approach was presumed to be as effective as state of the art islet transplantation, aside from immunosuppression drawbacks. We investigated two different cell culture methods and several production and delivery scenarios. We found the likely range of treatment costs for this form of graft tissue for beta cell replacement therapy. Additionally our results show this technology could be cost-effective compared to intensive insulin therapy, at a willingness-to-pay threshold of $100,000 per quality-adjusted life year. However, results also indicate that mass production has by far the best chance of providing affordable graft tissue, while overall there seems to be considerable room for cost reductions. Such a technology can improve treatment access and quality of life for patients through increased graft supply and protection. Stem cell-based implants can be a feasible way of treating a wide range of patients with type 1 diabetes.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 15%
Researcher 12 14%
Student > Bachelor 10 12%
Student > Master 9 11%
Student > Doctoral Student 5 6%
Other 7 8%
Unknown 28 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 17%
Medicine and Dentistry 12 14%
Agricultural and Biological Sciences 7 8%
Engineering 6 7%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Other 11 13%
Unknown 30 36%
Attention Score in Context

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 07 February 2018.
All research outputs
#18,616,159
of 23,881,329 outputs
Outputs from BMC Endocrine Disorders
#519
of 794 outputs
Outputs of similar age
#316,879
of 444,610 outputs
Outputs of similar age from BMC Endocrine Disorders
#6
of 8 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 794 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 444,610 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.