Evidence map›Paper›PMID 38046755›Full record

ArticleCureus2023

Choroidal Morphology and Systemic Circulation Changes During the Menstrual Cycle in Healthy Japanese Women.

Kana Kurahashi, Yuki Hashimoto, Kanon Shiraishi, Nonoka Kubota, Takeshi Yoshitomi

Abstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Kana KurahashiDepartment of Orthoptics, Fukuoka International University of Health and Welfare, Fukuoka, JPN.
Yuki HashimotoDepartment of Orthoptics, Fukuoka International University of Health and Welfare, Fukuoka, JPN.
Kanon ShiraishiDepartment of Orthoptics, Fukuoka International University of Health and Welfare, Fukuoka, JPN.
Nonoka KubotaDepartment of Orthoptics, Fukuoka International University of Health and Welfare, Fukuoka, JPN.
Takeshi YoshitomiDepartment of Orthoptics, Fukuoka International University of Health and Welfare, Fukuoka, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeChanges in systemic circulatory dynamics and choroidal thickness are poorly understood. This study aimed to investigate the time course of changes in choroidal morphology during normal menstrual cycles in healthy women using enhanced depth imaging optical coherence tomography (EDI-OCT). MATERIALS AND

methodsThis prospective study included 15 left eyes of 15 healthy Japanese women (mean age, 20.2 ± 0.8 years) with a normal menstrual cycle. Using EDI-OCT, the subfoveal choroidal thickness (SCT) was manually measured during the late follicular and mid-luteal phases. Intraocular pressure (IOP), systolic, diastolic, and mean blood pressure (SBP, DBP, and MBP), and heart rate (HR) were also evaluated during these phases.

resultsSBP, DBP, and MBP were significantly elevated in the mid-luteal phase. The average SCT was significantly decreased in the mid-luteal phase. In contrast, there were no significant changes in IOP or HR.

conclusionThese findings indicate that choroidal thickness decreases during the mid-luteal phase in healthy Japanese women with normal menstrual cycles depending on systemic circulatory dynamics. However, since the difference in the SCT values between the late follicular and the mid-luteal phase is not large (7 μm), the menstrual cycle may have little influence on the interpretation of choroidal thickness data in clinical practice.

Indexed as

blood pressurechoroidal morphologyenhanced depth imaging optical coherence tomographymenstrual cyclesubfoveal choroidal thicknesssystemic circulation

Identifiers

PMID38046755
PMCPMC10691935

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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.