| Title |
Preventing preterm birth with progesterone: costs and effects of screening low risk women with a singleton pregnancy for short cervical length, the Triple P study
|
|---|---|
| Published in |
BMC Pregnancy and Childbirth, October 2011
|
| DOI | 10.1186/1471-2393-11-77 |
| Pubmed ID | |
| Authors |
Melanie A van Os, Jeanine A van der Ven, C Emily Kleinrouweler, Eva Pajkrt, Esteriek de Miranda, Aleid van Wassenaer, Martina Porath, Patrick M Bossuyt, Kitty WM Bloemenkamp, Christine Willekes, Mallory Woiski, Martijn A Oudijk, Katia M Bilardo, Marko J Sikkema, Johannes J Duvekot, Diederik Veersema, Jacqueline Laudy, Petra Kuiper, Christianne JM de Groot, Ben Willem J Mol, Monique C Haak |
| Abstract |
Women with a short cervical length in mid-trimester pregnancy have a higher risk of preterm birth and therefore a higher rate of neonatal mortality and morbidity. Progesterone can potentially decrease the number of preterm births and lower neonatal mortality and morbidity. Previous studies showed good results of progesterone in women with either a history of preterm birth or a short cervix. However, it is unknown whether screening for a short cervix and subsequent treatment in mid trimester pregnancy is effective in low risk women. |
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 % |
|---|---|---|
| Netherlands | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 150% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 3% |
| Australia | 2 | 2% |
| United States | 1 | 1% |
| Peru | 1 | 1% |
| Unknown | 87 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 18% |
| Student > Master | 15 | 16% |
| Student > Ph. D. Student | 13 | 14% |
| Student > Bachelor | 9 | 10% |
| Other | 7 | 7% |
| Other | 19 | 20% |
| Unknown | 14 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 44 | 47% |
| Agricultural and Biological Sciences | 7 | 7% |
| Psychology | 4 | 4% |
| Economics, Econometrics and Finance | 4 | 4% |
| Computer Science | 3 | 3% |
| Other | 15 | 16% |
| Unknown | 17 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 02 May 2012.
All research outputs
#14,138,735
of 22,655,397 outputs
Outputs from BMC Pregnancy and Childbirth
#2,682
of 4,145 outputs
Outputs of similar age
#90,154
of 140,299 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#24
of 36 outputs
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