Evidence map›Paper›PMID 34403002›Full record

ReviewThe ultrasound journal2021

Reliability of ultrasound versus digital vaginal examination in detecting cervical dilatation during labor: a diagnostic test accuracy systematic review.

Zaynab Mohaghegh, Shayesteh Jahanfar, Parvin Abedi, Mohamed A Abd El Aziz

Open access · goldAbstract readReview
In one paragraph

Review in The ultrasound journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 3 institutions in 3 countries.

Zaynab MohagheghMidwifery Department, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Shayesteh JahanfarMPH Program Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, USA.
Parvin AbediDepartment of Midwifery, Menopause Andropause Research Centre, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.ORCID http://orcid.org/0000-0002-6980-0693
Mohamed A Abd El AzizDepartment of Obstetrics and Gynecology, Benha University Hospital, Benha University, Banha, Egypt. mohamad102365@fmed.bu.edu.eg.
Ahvaz Jundishapur University of Medical Sciences · IRBenha University · EGTufts University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis systematic review aimed to investigate the reliability of ultrasound method compared with digital vaginal examinations in detecting cervical dilation.

methodsWe searched Cochrane (CENTRAL), MEDLINE, EMBASE, CINAHL, ISI Web of Science Core Collection, Trip Database, PubMed, DARE and NHS EED, HTA, and PROSPERO. Ten observational studies with a total sample size of 856 were included in the meta-analysis.

resultsThe intraclass correlation coefficient (ICC) values ranged between 0.21 and 0.69. The fixed-effect models for the ultrasound test showed an average of ICC (r = 0.32 (95% CI 0.26-0.38). Correlation between two methods was poor (r = 0.359, 95% CI 0.26-0.44). In nulliparous and multigravida participants the correlation between ultrasound measurements and digital examinations was (r = 0.349, 95% CI 0.25-0.43) and ICC (r = 0.676, 95% CI 0.419-0.833), respectively.

conclusionTrans-perineal ultrasonography seems to be a reliable method for assessing labor progression in multigravida women, but its usage in nulliparous women needs further studies.

Indexed as

Cervical dilatationsDiagnostic testLaborUltrasonographyVaginal exams

Identifiers

PMID34403002
PMCPMC8371058
OpenAlexW3193503337

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.