Evidence map›Paper›PMID 30174462›Full record

ReviewInternational journal of women's health2018

Optimal management of umbilical cord prolapse.

Waleed Ali Sayed Ahmed, Mostafa Ahmed Hamdy

Abstract readReview
In one paragraph

Review in International journal of women's health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. MR Imaging of Umbilical Cord Variations, Abnormalities, and Associated Placental Findings.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
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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

2 authors.

Waleed Ali Sayed AhmedDepartment of Obstetrics and Gynecology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt, waleed.asa@gmail.com.
Mostafa Ahmed HamdyDepartment of Obstetrics and Gynecology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt, waleed.asa@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Umbilical cord prolapse (UCP) is an uncommon obstetric emergency that can have significant neonatal morbidity and/or mortality. It is diagnosed by seeing/palpating the prolapsed cord outside or within the vagina in addition to abnormal fetal heart rate patterns. Women at higher risk of UCP include multiparas with malpresentation. Other risk factors include polyhydramnios and multiple pregnancies. Iatrogenic UCP (up to 50% of cases) can occur in procedures such as amniotomy, fetal blood sampling, and insertion of a cervical ripening balloon. The perinatal outcome largely depends on the location where the prolapse occurred and the gestational age/birthweight of the fetus. When UCP is diagnosed, delivery should be expedited. Usually, cesarean section is the delivery mode of choice, but vaginal/instrumental delivery could be tried if deemed quicker, particularly in the second stage of labor. Diagnosis-to-delivery interval should ideally be less than 30 minutes; however, if it is expected to be lengthy, measures to relieve cord compression should be attempted. Manual elevation of the presenting part and Vago's method (bladder filling) are the most commonly used maneuvers. Care should be given not to cause cord spasm with excessive manipulation. Simulation training has been shown to improve/maintain all aspects of management and documentation. Prompt diagnosis and interventions and the positive impact of neonatal management have significantly improved the neonatal outcome.

Indexed as

neonatal outcomeobstetric emergencysimulation trainingumbilical cord prolapse

Identifiers

PMID30174462
PMCPMC6109652

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.