Evidence map›Paper›PMID 41935990›Full record

ArticleArchives of gynecology and obstetrics2026

Network analysis of patient-reported complaints in climacteric syndrome: a single-center study.

Su-Ji Choi, Bongsu Kang, Chang-Eop Kim, Dong-Il Kim

Abstract read
In one paragraph

Article in Archives of gynecology and obstetrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Su-Ji Choi *Department of Obstetrics and Gynecology, College of Korean Medicine, Dong-eui University, 52-57 Yangjeong-ro, Busanjin-gu, Busan, 47227, Republic of Korea.
Bongsu Kang *Department of Physiology, College of Korean Medicine, Gachon University, 1342 Seongnam-daero, Seongnam, 13120, Republic of Korea.
Chang-Eop KimDepartment of Physiology, College of Korean Medicine, Gachon University, 1342 Seongnam-daero, Seongnam, 13120, Republic of Korea. eopchang@gachon.ac.kr.
Dong-Il KimDepartment of Obstetrics and Gynecology, College of Korean Medicine, Dongguk University, 27 Dongguk-ro, Ilsandong-gu, Goyang-si, Gyeonggi-do, 10326, Republic of Korea. obgykdi@hanmail.net.

Funding

Ministry of Health and Welfare RS-2025-02307524
6 · The paper itself

Abstract

backgroundThis study analyzed medical records of patients with climacteric syndrome at a Korean medicine hospital and investigated the interrelationships among their symptoms using network analysis.

methodsA retrospective chart review was conducted on 81 women (aged 45-60 years) who visited a women's health clinic between 1 January 2020 and 31 December 2021. Network analysis was performed on unstructured text from first-visit medical records to identify symptom patterns and compute centrality indices.

resultsThe most common symptoms were 'pain', 'hot flush', 'facial blushing', 'fatigue', and 'sleep disorder'. Among them, pain and hot flush showed high node strength, betweenness centrality, and closeness centrality, which indicated their central role in symptom co-occurrence. Although there were no statistically significant differences in the frequency of symptoms between the premenopausal and postmenopausal groups, variations in symptom centrality and modular analysis results before and after menopause were noted, emphasizing the importance of detailed symptom analysis in clinical settings.

conclusionsBy analyzing medical records of patients with climacteric syndrome, this study clarified symptom patterns in menopausal women, providing data for targeted and stage-specific treatments.

Indexed as

MenopauseFatigueFemaleHot FlashesHumansMedical RecordsMiddle AgedPainRepublic of KoreaRetrospective StudiesSleep Wake DisordersClimactericMedical recordsMenopauseMiddle agedPainSocial network analysis

Identifiers

PMID41935990
PMCPMC13050765

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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.