Evidence map›Paper›PMID 42454122›Full record

ArticleFrontiers in medicine2026

The value of cervical length changes for the prediction of preterm birth with normal mid-trimester cervical length; a prospective longitudinal study.

Sebile Guler Cekic, Ceren Unal, Can Benlioglu, M Atay Ozten, Mert Turgal, Ebru Celik

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Article in Frontiers in medicine, 2026. 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

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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

6 authors.

Sebile Guler CekicDepartment of Obstetrics and Gynecology, Koç University School of Medicine, Istanbul, Türkiye.
Ceren UnalDepartment of Obstetrics and Gynecology, Koç University School of Medicine, Istanbul, Türkiye.
Can BenliogluDepartment of Obstetrics and Gynecology, Koç University School of Medicine, Istanbul, Türkiye.
M Atay OztenDepartment of Obstetrics and Gynecology, Koç University School of Medicine, Istanbul, Türkiye.
Mert TurgalDepartment of Obstetrics and Gynecology, Koç University School of Medicine, Istanbul, Türkiye.
Ebru CelikDepartment of Obstetrics and Gynecology, Koç University School of Medicine, Istanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Spontaneous preterm birth (sPTB) remains a leading cause of neonatal morbidity and mortality. Mid-trimester transvaginal cervical length (CL) measurement is an established screening tool, but it is unclear whether longitudinal change in CL between the 1st and 2nd trimesters (ΔCx) adds predictive value in women with a normal mid-trimester cervix. Methods: This prospective longitudinal cohort study included singleton pregnancies with 1st and 2nd trimester transvaginal CL measurements. Women with a normal mid-trimester cervix and no antenatal progesterone exposure comprised the primary low-risk cohort, while women with a short cervix were analyzed separately as an exploratory comparison cohort. CL was measured at 11-14 weeks (C1) and 18-24 weeks (C2). ΔCx and cervical slope were calculated. The primary outcome was sPTB <37 weeks. Additional analyses examined preterm prelabor rupture of membranes (PPROM) and PROM at term. Results: A total of 2,354 women had cervical length data in both trimesters; 2,292 constituted the primary low-risk cohort and 62 the exploratory short-cervix cohort. The overall rate of sPTB was 8.00 and 30.6% in the low-risk and short cervix cohorts, respectively ( Conclusion: In women with a normal mid-trimester cervix, longitudinal CL change does not improve prediction of sPTB beyond a single 2nd trimester measurement. The clinical value of cervical screening appears to lie primarily in identifying the short-cervix subgroup.

Indexed as

cervical length measurementPPROM (preterm prelabor rupture of membranes)prenatal ultrasonographypreterm (birth)uterine cervical incompetence

Identifiers

PMID42454122
PMCPMC13365343

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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.