Evidence map›Paper›PMID 32410909›Full record

ArticleTheScientificWorldJournal2020

The Effect of Ultrasound-Measured Preinduction Cervical Length on Delivery Outcome in a Low-Resource Setting.

Chidebe C Anikwe, Bartholomew C Okorochukwu, Emmanuel Uchendu, Cyril C Ikeoha

Open access · goldAbstract read
In one paragraph

Article in TheScientificWorldJournal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

1 citing paper in PubMed, 9 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Chidebe C AnikweDepartment of Obstetrics & Gynaecology, Federal Teaching Hospital, Abakaliki, Ebonyi, Nigeria.ORCID https://orcid.org/0000-0002-3730-621X
Bartholomew C OkorochukwuDepartment of Obstetrics and Gynaecology, Federal Medical Centre, Owerri, Imo, Nigeria.
Emmanuel UchenduDepartment of Radiology, Federal Teaching Hospital, Abakaliki, Ebonyi, Nigeria.
Cyril C IkeohaDepartment of Obstetrics & Gynaecology, Federal Teaching Hospital, Abakaliki, Ebonyi, Nigeria.
Federal Teaching Hospital Abakaliki · NGFederal Medical Centre · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInduction of labour is not without risk, and it calls for a method that will be sensitive enough to predict successful labour induction.

aimThis study aims to evaluate the role of transvaginal ultrasonographic cervical length measurement at term in the prediction of successful induction of labour (IOL). MATERIALS AND

methodsThis prospective study was carried out in the Department of Obstetrics and Gynaecology of Federal Teaching Hospital Abakaliki between 1st of July and 30

resultsThe mean maternal age of the study group was 30.68 ± 6.38 years with a range of 19-43 years. The mean gestational age and parity were 39.57 ± 1.49 and 1.85 ± 0.63, respectively. All the women studied had successful induction of labour with mean induction delivery time of 8.1 ± 3.0 hours and mean duration of labour of 7.4 ± 2.9 hours. Preinduction cervical length is a good predictor of a short duration of labour (

conclusionTransvaginal sonographic measurement of cervical length provides a useful prediction of the likelihood of duration of labour following the induction of labour. It is recommended that IOL should be considered and success anticipated in a parturient with a cervical length less than 3 cm.

Indexed as

Cervical Length MeasurementUltrasonographyAdultCervix UteriFemaleHumansLabor, InducedNigeriaParityPregnancyPregnancy OutcomeRisk FactorsTime FactorsYoung Adult

Identifiers

PMID32410909
PMCPMC7211251
OpenAlexW3023815520

What OpenQuestion holds

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LicenceCC BY
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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.