Evidence map›Paper›PMID 35566748›Full record

ArticleJournal of clinical medicine2022

The Rate of and Factors Associated with Delivery by Caesarean Section among Women with Epilepsy: Time Trend in a Single-Centre Cohort in Mazovia, Poland.

Beata Majkowska-Zwolińska, Joanna Jędrzejczak

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 8% 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, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  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

2 authors at 1 institution in 1 country.

Beata Majkowska-ZwolińskaEpilepsy Diagnostic and Therapeutic Center, Foundation of Epileptology, 02-952 Warsaw, Poland.ORCID 0000-0001-9358-2676
Joanna JędrzejczakCentre for Postgraduate Medical Education, Department of Neurology and Epileptology, 00-416 Warsaw, Poland.
Postgraduate School of Molecular Medicine · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data from literature suggest that the rate of caesarean section (CS) in women with epilepsy (WWE) is higher than in the general population. In Poland, there is neither a national registry nor another data set to access the outcome of pregnancy in WWE. Therefore, we address this gap by prospectively studying CS rates among 1021 WWE pregnancies at a single centre, their trends over time, and factors increasing the likelihood of the CS. To determine whether the diagnosis of epilepsy itself increased this likelihood, mixed models were used to analyse the contributions of specific variables, including the presence of seizures at different pregnancy-related timepoints. Over 20 years, the mean rate of CS in WWE was progressively growing and was higher than in the general population in Mazovia (47% vs. 32%). Generalized seizures in the third trimester increased the likelihood of CS with the highest odds (OR 4.4). The most frequent indication for a CS was obstetric (58.1%), followed by epilepsy-related (25.2%). Almost half of women who indicated epilepsy as the sole reason for CS had no seizure during pregnancy, and nearly 70% did not have generalized seizures. This suggests the overuse of epilepsy as an indication of CS and encourages defining more strict criteria.

Indexed as

antiseizure treatmentcaesarean deliverypregnancyseizureswomen with epilepsy

Identifiers

PMID35566748
PMCPMC9104823
OpenAlexW4229018297

What OpenQuestion holds

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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 OpenQuestion graph.