Evidence map›Paper›PMID 30349263›Full record

ArticleNeuropsychiatric disease and treatment2018

Menstrual disorders and their determinants among women with epilepsy.

Magdalena Bosak, Agnieszka Słowik, Wojciech Turaj

Abstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. [Epilepsy with catamenial pattern].Revista de neurologia · 2022
    Review
  7. Article
  8. Effects of the Menstrual Cycle on Neurological Disorders.Current neurology and neuroscience reports · 2021
    Review
  9. Article
  10. Review
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

3 authors.

Magdalena BosakDepartment of Neurology, Jagiellonian University Medical College, Krakow, Poland, magdalena.bosak@uj.edu.pl.
Agnieszka SłowikDepartment of Neurology, Jagiellonian University Medical College, Krakow, Poland, magdalena.bosak@uj.edu.pl.
Wojciech TurajDepartment of Neurology, Jagiellonian University Medical College, Krakow, Poland, magdalena.bosak@uj.edu.pl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe purpose of the present study was to assess the prevalence and determinants of menstrual cycle disorders among women with epilepsy. MATERIALS AND

methodsThe study included consecutive women with epilepsy who visited a university epilepsy clinic. A number of variables, including demographics, characteristics of epilepsy and its treatment, and data related to reproductive health (regularity of menstrual cycle, number of pregnancies and childbirths), were collected from medical records, seizure diaries, and a dedicated questionnaire.

resultsThe study involved 271 women with epilepsy. Focal epilepsy was diagnosed in 182 (67.2%) patients; 108 (39.8%) women had rare seizures (<1 per year), and 164 patients (60.5%) were on monotherapy. Menstrual abnormalities were found in 78 patients (28.8%). Independent variables associated with irregular cycle included younger age at onset of epilepsy (OR=0.95 per 1-year increase;

conclusionMenstrual disturbances were present in 28.8% of studied women with epilepsy. Increased prevalence of menstrual abnormalities was associated with epilepsy itself (younger age at onset of epilepsy) and its treatment (ongoing use of clonazepam), as well as with chronic use of medications other than AEDs.

Indexed as

medicationsmenstrual disordersreproductive healthside effectwomen

Identifiers

PMID30349263
PMCPMC6188158

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.