| Title |
Cost-effectiveness of preimplantation genetic screening for women older than 37 undergoing in vitro fertilization
|
|---|---|
| Published in |
Journal of Assisted Reproduction and Genetics, July 2017
|
| DOI | 10.1007/s10815-017-1001-8 |
| Pubmed ID | |
| Authors |
Stephen C. Collins, Xiao Xu, Winifred Mak |
| Abstract |
Adding preimplantation genetic screening to in vitro fertilization has been shown to increase live birth rate in women older than 37. However, preimplantation genetic screening is an expensive procedure. Information on the cost-effectiveness of preimplantation genetic screening can help inform clinical decision making. We constructed a decision analytic model for a hypothetical fresh, autologous in vitro fertilization cycle (with versus without preimplantation genetic screening) for women older than age 37 who had a successful oocyte retrieval and development of at least one blastocyst. The model incorporated probability and cost estimates of relevant clinical events based on data from published literature. Sensitivity analyses were performed to examine the impact of changes in model input parameters. In base-case analysis, IVF-PGS offered a 4.2 percentage point increase in live birth rate for an additional cost of $4509, yielding an incremental cost-effectiveness ratio (ICER) of $105,489 per additional live birth. This ICER was below the expected cost of $145,063 for achieving one live birth with IVF (assuming an average LBR of 13.4% and $19,415 per cycle for this patient population). Sensitivity analysis suggested that ICER improved substantially with decreases in PGS cost and increases in PGS effectiveness. Monte Carlo simulation showed PGS to be cost-effective in 93.9% of iterations at an acceptability cutoff of $145,063. Considering the expected cost of achieving one live birth with IVF, PGS is a cost-effective strategy for women older than 37 undergoing IVF. Additional research on patients' willingness-to-pay per live birth would further inform our understanding regarding the cost-effectiveness of PGS. |
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 States | 4 | 50% |
| Georgia | 1 | 13% |
| Australia | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Science communicators (journalists, bloggers, editors) | 2 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 73 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 18% |
| Student > Ph. D. Student | 8 | 11% |
| Student > Bachelor | 8 | 11% |
| Other | 7 | 10% |
| Student > Master | 6 | 8% |
| Other | 16 | 22% |
| Unknown | 15 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 36% |
| Biochemistry, Genetics and Molecular Biology | 12 | 16% |
| Agricultural and Biological Sciences | 4 | 5% |
| Nursing and Health Professions | 3 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Other | 6 | 8% |
| Unknown | 21 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 27 November 2017.
All research outputs
#4,865,114
of 24,119,703 outputs
Outputs from Journal of Assisted Reproduction and Genetics
#243
of 1,697 outputs
Outputs of similar age
#80,924
of 320,674 outputs
Outputs of similar age from Journal of Assisted Reproduction and Genetics
#2
of 27 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,697 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. 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 320,674 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 27 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 92% of its contemporaries.