Assessment of the climacteric syndrome: a narrative review View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2021-07-06

AUTHORS

Marina Sourouni, Martina Zangger, Livia Honermann, Dolores Foth, Petra Stute

ABSTRACT

PurposeMany menopausal women suffer from a variety of estrogen deficiency-related symptoms and chronic medical conditions. Health care professionals should be able to identify and quantify symptoms to facilitate diagnosis, indicate and monitor treatment. Therefore, various questionnaires have been developed and are used as a simple, time-saving and cost-effective mean to assess and monitor menopausal complaints. The aim of this review is to provide an overview and comparison of the available tools for climacteric syndrome assessment.MethodsThree electronic databases (Pubmed, EMBASE and Cochrane Database of Systematic Reviews/CDRS) were searched covering a time period of 10 years using a combination of relevant controlled vocabulary terms and free-text terms. Relevant references were evaluated for inclusion in a stepwise approach.ResultsThe literature research revealed four questionnaires (Kupperman Index, Menopause Rating Scale, Menopause Specific Quality of Life Questionnaire and Greene Climacteric Scale) that are used to holistically assess the climacteric syndrome, varying in type of assessment, included symptoms, rating system of severity, weighing of symptoms, resulting total rating score and validation status. Further questionnaires are available to assess single symptoms or group of symptoms relating to specific aspects of menopause (e.g., vasomotor symptoms, insomnia, etc.).ConclusionFour holistic questionnaires addressing menopausal symptoms have been developed [KI, MRS, MENQOL (-Intervention), Greene Climacteric Scale]. All but one (KI) have been validated and are available in different languages. However, there are still several shortcomings such as the lack of recognition of ethnic and cultural background and missing thresholds for treatment initiation and monitoring. More... »

PAGES

855-862

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00404-021-06139-y

DOI

http://dx.doi.org/10.1007/s00404-021-06139-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1139450433

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/34231082


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