This was a systematic review of studies reporting rates of palpitations by menopausal status that followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
Eligibility Criteria
Inclusion criteria were full-length, peer-reviewed, English language articles that contained data on menopause and palpitations in human, female, adults. For the menopause criteria, articles were included if there was a description of the sample as midlife or menopausal, or data were reported on the proportion of the sample who were perimenopausal and/or postmenopausal. We compared article sample descriptions of menopausal status to the Stages of Reproductive Aging Workshop (STRAW) [14] or STRAW+10 definitions for consistency of terminology [15]. For palpitations, studies were included if (1) there were specific data related to palpitation prevalence (or similar symptom such as racing or pounding heart) and (2) the measurement item, recall period, and response options were clearly described.
The review excluded studies focusing exclusively on premenopausal women and studies of transgender or gender transitioning populations, men, and animals. We also excluded articles that were not data based including editorials, opinion papers, reviews, abstracts, and published protocols for reviews or research studies. Studies that defined their populations as “menopausal women” or “symptomatic women” without further clarification or definition of menopausal status or that did not report prevalence by menopausal stage were also excluded.
Literature Search Strategy
The search was conducted in PubMed, CINAHL, and PsycInfo on May 19, 2020. We did not search outside the medical literature (e.g., ERIC) because of the health-related focus of the review topic. We did not search SCOPUS because the review criteria excluded textbooks, published abstracts, or other non-full-length materials.
Because of the lack of literature identified using “palpitations” as a search term, additional pertinent studies were identified by searching for articles that used standard menopausal symptom assessment tools. Tools searched included the Menopause Rating Scale (Heinemann) [12•], Greene Climacteric Symptom Rating Scale [16], Midlife Women’s Symptom Index [17], Holte/Mikkelsen Menopause Checklist [18], Hunter’s Women’s Health Questionnaire [19], Neugarten and Kraines’ Symptom Checklist [20], SWAN menopausal symptom checklist, Menopause Symptoms List [21], and Kupperman/Blatt Index [22,23,24].
The following keyword search on menopause symptom scales was conducted in PubMed, CINAHL, and PsycInfo: (“Menopause Rating Scale” OR “Greene Climacteric Symptom Rating Scale” OR “Midlife Women’s Symptom Index” OR “Holte/Mikkelsen Menopause Checklist” OR “Hunter’s Women’s Health Questionnaire” OR “Neugarten and Kraines’ Symptom Checklist” OR “SWAN menopausal symptom checklist” OR “Menopause Symptoms List” OR “Kupperman/Blatt Index” OR “Menopause Symptom Checklist” OR MENQOL). The PubMed search string for palpitations was (“Menopause” [Mesh] OR menopaus*) AND (palpitation* OR heart racing OR heart pounding OR irregular heart). The CINAHL and PsycInfo search string for palpitations was (MH “Menopause” OR menopaus*) AND (palpitation* OR heart racing OR heart pounding OR irregular heart).
The review was organized using a structured program available at Covidence.org. The program de-duplicates articles from searches, shows progress on screening and full text review, allows inter-rater reliability calculations, and allows users to create custom data extraction forms. We did not publish a separate literature search or review protocol. The review did not meet criteria for human subject research and did not require university institutional review board approval.
Screening Process
The initial search references were culled in two screening stages. The first screening stage involved independent and sequential review of titles and abstracts for possible inclusion by three authors (n = 670). Using the Covidence program, once titles and abstracts were included or excluded by two authors, they were not visible to the third person. In this way, the program ensured that each article was reviewed by two authors for possible inclusion. We followed two principles to be overly inclusive at this stage. First, we retained studies where titles or abstracts referred to menopausal or climacteric symptoms/syndrome even when palpitations were not specifically mentioned. Second, we retained studies if the abstracts listed one of the menopausal symptom assessment tools as a study measure. Where there were disagreements (8.77%), the three reviewers discussed each one and achieved consensus.
At the second screening stage, the remaining full-text articles were reviewed (n = 608). Using Covidence, each article was independently and sequentially read by two authors who voted on their inclusion or exclusion. Articles that did not specifically report data on palpitations were excluded. Disagreements (4.99%) were resolved through discussion and consensus.
Data Extraction Process
Our team created data abstraction forms based on the study aim. We used shared file platforms for the data extraction that allowed multiple authors to co-edit and see changes in real time. For each article, one author extracted the data and two additional authors verified accuracy. Disagreements were resolved through discussion.
The data extraction form included fields about the article metadata (title, author, year, country), study methods (design, sample details, palpitations measures), and findings (prevalence by menopausal stage). The data extraction form included field items from the Joanna Briggs Institute Checklist for Prevalence Studies to assess study quality and bias [25]. Fields included the sampling frame, appropriateness of sampling, adequacy of the sample size, description of subjects and setting, validity of methods for identification of the condition (e.g., menopausal status), data analysis, and response rate.