Evidence map›Paper›PMID 41104089›Full record

ArticleEuropean journal of midwifery2025

Cesarean section trends from 1992 to 2023 in Estonia among singleton term pregnancies: A registry-based study.

Kaire Sildver, Piret Veerus, Mika Gissler, Katrin Lang, Heti Pisarev

Abstract read
In one paragraph

Article in European journal of midwifery, 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

5 authors.

Kaire SildverDepartment of Midwifery, Tallinn Health Care College, Tallinn, Estonia.
Piret VeerusNational Institute for Health Development, Tallinn, Estonia.
Mika GisslerFinnish Institute for Health and Welfare THL, Department of Data and Analytics Helsinki, Finland.
Katrin LangInstitute of Family Medicine and Public Health, Faculty of Medicine, University of Tartu, Tartu, Estonia.
Heti PisarevInstitute of Family Medicine and Public Health, Faculty of Medicine, University of Tartu, Tartu, Estonia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe proportion of cesarean section (CS) deliveries has increased worldwide. This study aimed to analyze CS trends in Estonia from 1992 to 2023 in total and according to Robson 1+2 (nulliparous, single cephalic, ≥37 weeks, spontaneous labor, induced or CS before labor) and 5 (previous CS, single, cephalic, ≥37 weeks) criteria.

methodsData of all deliveries (n=446536) in Estonia from 1992 to 2023 were obtained from the Estonian Medical Birth Registry. During the study period, 73960 births ended in CS. Descriptive characteristics of the study population were divided into two periods (1992-2007 increasing trend; 2008-2023 stable trend). Robson 1+2 and 5 sub-groups were analyzed. Joinpoint regression was used to estimate the change in CS trends in Robson groups over time.

resultsThe total proportion of CS increased from 6.5% in 1992 to 20.9% in 2007 and remained stable after that. Robson 1+2 proportion increased from 5% to 21% in 2023, and Robson 5 decreased from 73% to 56%. In 2023, R1+R2 combined with R5 accounted for more than half (63%) of all CSs.

conclusionsThe increase in CS occurred primarily due to the increase in CS rates among nulliparous women with a singleton pregnancy at term. More attention must be given to nulliparous women to prevent CS and maintain vaginal births after CS. To improve the quality of maternity care, it is essential to monitor the indicators of CS based on Robson's criteria.

Indexed as

cesarean sectionEstoniaregistry-based studyRobson classificationsingleton term pregnanciestime trends

Identifiers

PMID41104089
PMCPMC12527119

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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.