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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prospective observations study protocol to investigate cost-effectiveness of various prenatal test strategies after the introduction of noninvasive prenatal testing
|
|---|---|
| Published in |
BMC Pregnancy and Childbirth, July 2018
|
| DOI | 10.1186/s12884-018-1930-y |
| Pubmed ID | |
| Authors |
So Yeon Kim, Seung Mi Lee, Jong Kwan Jun, You Jung Han, Min Hyoung Kim, Jae-Yoon Shim, Mi-Young Lee, Soo-young Oh, JoonHo Lee, Soo Hyun Kim, Dong Hyun Cha, Geum Joon Cho, Han-Sung Kwon, Byoung Jae Kim, Mi Hye Park, Hee Young Cho, Hyun Sun Ko, Jeonghoon Ahn, Hyun Mee Ryu |
| Abstract |
Among the non-invasive screening methods for the identification of fetal aneuploidy, NIPT (non-invasive prenatal testing) shows the highest sensitivity and specificity in high-risk pregnancies. Due to the low false positive rate of NIPT, it is assumed that the implementation of NIPT as a primary screening method may reduce the number of invasive fetal tests and result in a similar or lowered cost in the overall detection of Down syndrome. However, most previous studies are based on theoretical economic analysis. This study aims to determine the cost effectiveness of various prenatal test strategies, including NIPT, in real clinical settings in both low risk and high risk pregnancies. In this prospective observational study, women (< 24 weeks) with singleton or twin pregnancies will be enrolled in 12 different healthcare institutions. The participants will be grouped based on the risks of fetal chromosomal abnormalities and will be counseled on the various screening or diagnostic methods, including NIPT, according to the aneuploidy risk. The final decision on screening or diagnostic methods will be made by patients after counseling. Questionnaires regarding factors affecting the decision on prenatal test will be answered by the participants and physicians. The economic analysis on final total costs will be compared according to the various prenatal test strategies. The results of present study are expected to have a significant impact on national policies in determining Korean prenatal screening test strategies and to help in developing novel and effective prenatal screening tests in the future. |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 15% |
| Student > Bachelor | 6 | 11% |
| Other | 6 | 11% |
| Student > Ph. D. Student | 5 | 9% |
| Student > Postgraduate | 4 | 8% |
| Other | 6 | 11% |
| Unknown | 18 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 28% |
| Nursing and Health Professions | 8 | 15% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Agricultural and Biological Sciences | 1 | 2% |
| Psychology | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 20 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 26 July 2018.
All research outputs
#3,983,418
of 23,096,849 outputs
Outputs from BMC Pregnancy and Childbirth
#1,086
of 4,252 outputs
Outputs of similar age
#76,329
of 329,806 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#35
of 117 outputs
Altmetric has tracked 23,096,849 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,252 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has gotten more attention than average, scoring higher than 74% 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 329,806 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 76% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.