Evidence map›Paper›PMID 38887592›Full record

ArticleInternational journal of women's health2024

Predictive Factors for the Success of Vaginal Dinoprostone for the Induction of Labour.

Wenjie Liu, Li Guo, Lizhen Feng, Jie Wang, Miao Zhang, Xiaobin Fan

Abstract read
In one paragraph

Article in International journal of women's health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Observational
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Wenjie LiuDepartment of Obstetrics and Gynecology, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, 710018, People's Republic of China.
Li GuoDepartment of Obstetrics and Gynecology, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, 710018, People's Republic of China.
Lizhen FengDepartment of Obstetrics and Gynecology, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, 710018, People's Republic of China.
Jie WangDepartment of Obstetrics and Gynecology, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, 710018, People's Republic of China.
Miao ZhangDepartment of Obstetrics and Gynecology, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, 710018, People's Republic of China.
Xiaobin FanDepartment of Obstetrics and Gynecology, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, 710018, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate factors predictive of the success of a slow-release dinoprostone vaginal insert for cervical ripening. Methods: This retrospective study included 187 women who received dinoprostone vaginal inserts for cervical ripening. The participants were divided into two groups: the transvaginal delivery group (n = 87) and cesarean section termination group (n = 100). The correlation between the parameters present before cervical ripening with dinoprostone slow release and its success, as well as complications and adverse outcomes, was analyzed. Cesarean section predictors and area under the curve (AUC) were compared between the two Groups. Results: There were statistical differences between the two groups in body mass index (BMI), height, cervical Bishop score, cephalic position, time of medication use, and fetal head position at the time of medication use ( Conclusion: The combined model was a better predictor of cesarean section in dinoprostone vaginal inserts for cervical ripening and labor induction. The success of cervical ripening with a dinoprostone slow-release vaginal insert can be predicted by the factors that can be recognized at admission.

Indexed as

cervical ripeningdinoprostonelabor inductionpredictive model

Identifiers

PMID38887592
PMCPMC11182355

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.