Evidence map›Paper›PMID 41367823›Full record

ArticleJournal of clinical medicine research2025

Evaluation of the Combined Use of Elastography and Cervicometry With the E-Cervix Index to Predict Second Trimester Preterm Birth Risk.

Saule Issenova, Bakytkhan Kabul, Lyazat Manzhuova, Gulnara Nurlanova, Balzira Bishekova, Gulzhan Issina, Inna Lyalkova, Valentina Zanilova

Abstract read
In one paragraph

Article in Journal of clinical medicine research, 2025. 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
–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

1 citing paper in PubMed.

  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

8 authors.

Saule IssenovaDepartment of Obstetrics and Gynecology with a Course in Clinical Genetics, Asfendiyarov Kazakh National Medical University, Almaty, Republic of Kazakhstan.ORCID https://orcid.org/0000-0003-1869-746X
Bakytkhan KabulDepartment of Obstetrics and Gynecology, Asfendiyarov Kazakh National Medical University (NCJSC), Almaty, Republic of Kazakhstan.ORCID https://orcid.org/0000-0001-7027-4072
Lyazat ManzhuovaBoard for Scientific and Innovative Activities, JSC Scientific Center of Pediatrics and Pediatric Surgery, Almaty, Republic of Kazakhstan.ORCID https://orcid.org/0000-0001-8775-3985
Gulnara NurlanovaCenter for Perinatology and Pediatric Cardiac Surgery, Almaty, Kazakhstan.ORCID https://orcid.org/0009-0000-6391-4510
Balzira BishekovaDepartment of Obstetrics and Gynecology, Asfendiyarov Kazakh National Medical University (NCJSC), Almaty, Republic of Kazakhstan.ORCID https://orcid.org/0000-0003-2655-598X
Gulzhan IssinaDepartment of Obstetrics and Gynecology with a Course in Clinical Genetics, Asfendiyarov Kazakh National Medical University, Almaty, Republic of Kazakhstan.ORCID https://orcid.org/0000-0003-3173-4237
Inna LyalkovaDepartment of Obstetrics, Gynecology and Reproductology, Ministry of Health of the Republic of Kazakhstan, Almaty, Republic of Kazakhstan.ORCID https://orcid.org/0009-0003-1760-9031
Valentina ZanilovaConsultative and Diagnostic Department, Center of Perinatology and Pediatric Cardiac Surgery, Almaty, Republic of Kazakhstan.ORCID https://orcid.org/0009-0000-8955-5720

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Preterm birth (PB) continues to be a leading cause of neonatal morbidity and mortality, with isthmic-cervical insufficiency (ICI) being among the most serious contributory factors. ICI is often a precursor for PB, and monitoring and diagnosis of this event can largely be achieved through cervicometry and elastography, especially with the use of the E-Cervix index. The aim of this study was to assess the effectiveness of integrating elastography and cervicometry, specifically the E-Cervix index, in predicting PB risk in pregnant women with ICI during the second trimester. Methods: A prospective cohort study was performed on 250 pregnant women during their second trimester, including 150 women with ICI alongside 100 control women. Cervical elastography was done to assess the stiffness of the cervix coupled with transvaginal ultrasound cervicometry to obtain the length of the cervix. The E-Cervix index was also computed to enhance the discrimination accuracy of lower predictive values. Analysis was done on Statistical Package for the Social Sciences version 27.0 and Statistical Software for Data Analysis version 17.0. Results: This study investigated the effectiveness of combining cervical elastography and cervicometry, utilizing the E-Cervix index, to assess the risk of PB in pregnant women diagnosed with ICI. The main group (n = 150) had a significantly younger mean age (30.24 ± 5.68 years) compared to the control group (32.17 ± 6.00 years, P = 0.011). Women with ICI showed shorter cervical lengths (2.6 ± 0.5 cm vs. 3.5 ± 0.4 cm, P < 0.001) and higher elasticity contrast index (6.5 ± 1.2 vs. 4.2 ± 0.9, P < 0.001). A significantly higher rate of PB (16% vs. 8%, P = 0.047) was observed in the main group. However, early diagnosis through combined elastography and cervicometry, followed by timely interventions, effectively contributed to a reduction in early PB rates, emphasizing the clinical value of integrated diagnostic approach. Conclusion: The combined use of elastography and cervicometry, particularly through the E-Cervix index, provides accurate risk assessment for preterm delivery in women with ICI. This approach demonstrates strong diagnostic performance and supports timely clinical decision-making, enhancing early intervention and improving outcomes in high-risk pregnancies.

Indexed as

Cervical assessmentCervical elastographyCervicometryE-Cervix indexObstetricsPregnancy monitoringPreterm birthRisk prediction

Identifiers

PMID41367823
PMCPMC12683937

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.