Evidence map›Paper›PMID 37210702›Full record

Observational studyArchives of gynecology and obstetrics2023

Diagnostic accuracy of pre-induction cervical elastography, volume, length, and uterocervical angle for the prediction of successful induction of labor with dinoprostone.

Alper İleri, Suna Yıldırım Karaca, Hakan Gölbaşı, Mehmet Adıyeke, Adnan Budak, Mehmet Özer, Hande İleri, Merve Biçer, Ayse Rabia Şenkaya, Sabahattin Anıl Arı and 2 more

Abstract readObservational Study
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In one paragraph

Observational study in Archives of gynecology and obstetrics, 2023. 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
2.1field-weighted citation impact, top 13% of its field
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, 7 citations in OpenAlex.

  1. Article
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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

12 authors at 2 institutions in 1 country.

Alper İleriDepartment of Obstetrics and Gynaecology, Health Sciences University Tepecik Education and Research Hospital, İzmir, Turkey. alper_ileri@hotmail.com.ORCID 0000-0002-4713-5805
Suna Yıldırım KaracaDepartment of Obstetrics and Gynaecology, Health Sciences University Tepecik Education and Research Hospital, İzmir, Turkey.
Hakan GölbaşıDepartment of Perinatology, Health Sciences University Tepecik Education and Research Hospital, İzmir, Turkey.
Mehmet AdıyekeDepartment of Obstetrics and Gynaecology, Health Sciences University Tepecik Education and Research Hospital, İzmir, Turkey.
Adnan BudakDepartment of Obstetrics and Gynaecology, Health Sciences University Tepecik Education and Research Hospital, İzmir, Turkey.
Mehmet ÖzerDepartment of Perinatology, Health Sciences University Tepecik Education and Research Hospital, İzmir, Turkey.
Hande İleriDepartment of Family Medicine, Health Sciences University Tepecik Education and Research Hospital, İzmir, Turkey.
Merve BiçerPrivate Clinic, Obstetrics and Gynecology, İzmir, Turkey.
Ayse Rabia ŞenkayaÇiğli Education and Research Hospital, Department of Obstetrics and Gynaecology, İzmir Bakircay University, İzmir, Turkey.
Sabahattin Anıl ArıÇiğli Education and Research Hospital, Department of Obstetrics and Gynaecology, İzmir Bakircay University, İzmir, Turkey.
Özge Çeliker TosunDepartment of Physical Therapy and Rehabilitation, Dokuz Eylul University, İzmir, Turkey.
İbrahim KaracaÇiğli Education and Research Hospital, Department of Obstetrics and Gynaecology, İzmir Bakircay University, İzmir, Turkey.
Izmir University · TRDokuz Eylül University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe study's aim is to define among a group of ultrasonographic cervical measurements a candidate parameter predictive of successful of induction of labor in term pregnancies with unfavorable cervix.

methodsThis prospective observational study included 141 pregnant women at term with an unfavorable cervix (Bishop score ≤ 6). All patients underwent clinical and ultrasonographic cervical evaluation before dinoprostone induction. Pre-induction cervical assessments included the Bishop score, cervical length, cervical volume, uterocervical angle, and cervical elastographic parameters. Vaginal delivery (VD) was accepted as successful dinoprostone induction. Multivariate logistic regression was conducted to identify the potential risk factors significantly associated with CS while controlling for possible confounding variables.

resultsThe vaginal delivery rate was 74% (n = 93) and the cesarean section (CS) rate was 26% (n = 32). Sixteen patients who had a cesarean section due to fetal distress before the active phase of labor were excluded from the study. The mean induction-to-delivery interval was 1176.1 ± 352 (540-2150) for VD and 1359.4 ± 318.4 (780-2020) for CS (p = 0.01). Bishop score was lower in women with cesarean section (p = 0.002). When both groups were compared in terms of delivery type, no difference was found between cervical elastography values, cervical volume, cervical length, and uterocervical angle measurements. Multivariable logistic regression model failed to show significant differences between cervical elastography values, cervical volume, cervical length, and uterocervical angle measurements.

conclusionCervical length, cervical elastography, cervical volume, and uterocervical angle measurements did not provide a clinically useful prediction of outcomes following labor induction in our study group with unfavorable cervix. Cervical length measurements significantly predicted the time interval from induction to delivery.

Indexed as

DinoprostoneElasticity Imaging TechniquesCervix UteriCesarean SectionFemaleHumansLabor, InducedPredictive Value of TestsPregnancyDinoprostoneCervical lengthCervical volumeElastographyLaborUterocervical angle

Identifiers

PMID37210702
OpenAlexW4377194922

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Registered trials

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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.