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Review

Endometriosis and COVID-19: A Systematic Review and Meta-Analysis

by
Ziyaana Kabani
1,
Maria E. Ramos-Nino
2 and
Prakash V. A. K. Ramdass
1,*
1
Department of Public Health and Preventive Medicine, St. George’s University School of Medicine, St. George FZ818, Grenada
2
Department of Microbiology, Immunology, and Pharmacology, St. George’s University School of Medicine, St. George FZ818, Grenada
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2022, 23(21), 12951; https://0-doi-org.brum.beds.ac.uk/10.3390/ijms232112951
Submission received: 28 September 2022 / Revised: 13 October 2022 / Accepted: 22 October 2022 / Published: 26 October 2022
(This article belongs to the Special Issue Molecular and Cellular Advances in Endometriosis Research 2.0)
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Abstract

:
Endometriosis is defined as ectopic endometrial tissues dispersed outside the endometrium. This can cause disruption in hormonal and immunological processes, which may increase susceptibility to SARS-CoV-2 infection. Worsening of endometriosis symptoms may occur as a result of this infection. The aim of our review was to estimate the pooled prevalence of SARS-CoV-2 infection and the health impacts of the COVID-19 pandemic in endometriosis patients. We conducted a systematic review and meta-analysis. MEDLINE, Science Direct, Scopus, and Google Scholar databases were searched, using the keywords: (endometriosis) AND (COVID-19 OR SARS-CoV-2). Forest plots and pooled estimates were created using the Open Meta Analyst software. After screening 474 articles, 19 studies met the eligibility criteria for the systematic review, and 15 studies were included in the meta-analyses. A total of 17,799 patients were analyzed. The pooled prevalence of SARS-CoV-2 infection in endometriosis patients was 7.5%. Pooled estimates for the health impacts were 47.2% for decreased access to medical care, 49.3% increase in dysmenorrhea, 75% increase in anxiety, 59.4% increase in depression, and 68.9% increase in fatigue. Endometriosis patients were undeniably impacted by the COVID-19 pandemic, which caused the worsening of symptoms such as dysmenorrhea, pelvic pain, anxiety, depression, and fatigue.

1. Introduction

Endometriosis is one of the most frequent benign gynecological conditions diagnosed in premenopausal women, with an estimated world-wide prevalence ranging from 16–20% [1]. Millions of these patients are thought to have been impacted by the COVID-19 pandemic [2], and estimates suggest that 6.2% of them were infected with Severe Acute Respiratory Syndrome Corona Virus-2 (SARS-CoV-2) [3].
Histologically, endometriosis is defined as the presence of ectopic endometrial tissues dispersed in areas outside the endometrium [4], and is symptomatically characterized by pelvic pain, dysmenorrhea, dyspareunia, dyschezia, and infertility [5]. These symptoms are thought to occur as a result of disturbance in hormonal [6], neurological [7], and immunological functioning [8]. Disruption in these processes is believed to contribute to increase susceptibility of SARS-CoV-2 infection in endometriosis patients, which may in turn result in the worsening of symptoms. While the exact mechanism of symptom worsening is unclear, there is some evidence suggesting SARS-CoV-2 is involved [9].
Thus, the aim of this systematic review and meta-analysis was to estimate the pooled prevalence of SARS-CoV-2 in endometriosis patients, and to determine the risk of SARS-CoV-2 infection in endometriosis patients. In addition, we wanted to estimate the health impacts in endometriosis patients as a consequence of the COVID-19 pandemic.

2. Results

2.1. Characteristics of Identified Studies

As illustrated in Figure 1, the titles and abstracts of 474 articles were screened for eligibility, of which 30 met the eligibility criteria for full-text review. After further screening, 19 studies met the inclusion criteria for the systematic review.
Characteristics of the 19 included studies appear in Table 1. Quantitative data were available for only 15 studies, which were included in the meta-analyses. However, not all 15 studies had quantitative data for all the variables we assessed. Thus, meta-analyses of the included studies ranged from 2 (risk of COVID-19 in endometriosis patients) to 10 (decreased access to medical care for endometriosis patients). Individual patient data were obtained on 17,799 patients. The four studies not included in the meta-analysis were based on qualitative data [10,11,12,13]. In addition, four studies [3,14,15,16] appear in both the meta-analysis on the prevalence of SARS-CoV-2 in endometriosis patients as well as the meta-analyses on the health impacts of COVID-19 in endometriosis patients.

2.2. COVID-19 in Endometriosis Patients

A total of six studies [3,9,14,15,16,17] comprising 4555 patients were included in the meta-analysis. Figure 2 illustrates the forest plot of the prevalence of COVID-19 in endometriosis patients, and the risk of COVID-19 infection in endometriosis patients. The pooled prevalence was 7.5% (95% CI [4.5–10.5]; I2 = 92.6%; p < 0.001). The prevalence of individual studies ranged from 1.2% [15] to 22.9% [17]. Only two studies [9,17] had available data to estimate the odds ratio. The pooled odds ratio for these two studies was 1.5 (95% CI [0.8–2.6]; I2 = 43.1%; p = 0.185), as shown in the forest plot in Figure 2.

2.3. Impact of COVID-19 in Endometriosis Patients

Seventeen studies (shown in Table 1) investigated one or more health impacts of the pandemic. However, quantitative data for any health impact were available for only 13 studies. A total of 17,092 patients were included in the meta-analyses. Table 2 illustrates the 10 factors we examined that impacted endometriosis patients because of the pandemic. Fourteen studies (10 with quantitative data) assessed the decreased access to medical care.
Pooled prevalence rates are shown for decreased access to medical care and medications in Figure 3. Nearly half of the endometriosis patients stated that they had decreased access to their doctor or medical care during the pandemic (pooled prevalence = 47.2%; 95% CI [35.9–58.5]), while 23% (95% CI [10.2–27.3]) of patients related that they had decreased access to medications or treatment.
The percentage and 95% CI of endometriosis patients who reported new, increased, or worsening symptoms were as follows: dysmenorrhea (49.3% [13.4–85.1]), dyspareunia (45.5% [19.3–71.7]) shown in Figure 4, pelvic pain (58.1% [36.5–79.7]), and dyschezia and other gastrointestinal symptoms (53.1% [27.0–75.5]) shown in Figure 5, depression (59.4% [31.1–87.6]) and anxiety (75.0% [71.2–78.7]) shown in Figure 6, and stress (37.2% [33.1–41.2]) and fatigue (68.9% [46.9–90.9]), shown in Figure 7.

2.4. Quality Assessment and Publication Bias

The risk of bias and applicability assessment based on QUADRAS-2 for each study is shown in Figure 8. Many of the studies had a low risk of bias, followed by unclear risk of bias. Visual inspection of the funnel plot, shown in Figure 9, was inconclusive for risk of publication bias. However, objective analysis with Egger’s test (z = 0.131; p = 0.896) reveals there was no publication bias.

3. Discussion

The COVID-19 pandemic has affected millions of people around the world, with almost everyone being impacted negatively in some way [26]. Our meta-analysis shows that 7.5% of endometriosis patients were infected with SARS-CoV-2, and that endometriosis patients had an approximately 50% increased risk of acquiring COVID-19. When compared to the general population, the prevalence of COVID-19 in endometriosis patients seems to be higher. Moreover, endometriosis patients experienced increased pain symptoms such as dysmenorrhea [18], and increased mental health symptoms such as anxiety [2] and depression [3] as a consequence of the pandemic. Whether the worsening of these symptoms was directly as a result of SARS-CoV-2 infection, or indirectly because of decreased access to medical care and medication [19], or a combination of both, there is little evidence available to substantiate these observations.
Endometriosis is a disease due to endocrine and immune dysregulation [27], and its pathogenesis is poorly understood. However, Sampson first proposed the theory that endometriosis could be initiated due to retrograde menstruation and the dissemination of endometrial cells through the uterine tubes [28]. Nevertheless, this phenomenon occurs in most women of reproductive age, but the endometrial cells do not implant in the peritoneal cavity and are eliminated by the immune system by apoptosis [29]. In women with endometriosis, changes in cell-mediated and humoral immunity may contribute to the development of the disease [30].
Since an aberrant immune response in the peritoneal environment seems to be crucial for the proliferation of ectopic endometrial cells [29], the immune changes that follow SARS-CoV-2 infection could well contribute to endometriosis or vice versa. Immunologic and inflammatory changes that are observed in endometriosis include the following: decreased T-cell reactivity, NK cytotoxicity, increased antibody production, increased number and activation of peritoneal macrophages, and changes in inflammatory mediators [27,29,31]. An example of how COVID-19 and endometriosis could contribute to each other’s pathogenesis is via tumor necrosis factor α (TNF-α). Recent studies on COVID-19 suggest that cytokine release syndrome is associated with the severity of disease; this syndrome is characterized by increased TNF-α, interleukin (IL)-6, IL-2, IL-7, and IL-10 [32]. Cao and colleagues found that TNF-α plays a role in endometriosis [33], and its expression is increased in tissues of patients with COVID-19 [34].
To enter cells, SARS-CoV-2 uses its spike S protein to bind angiotensin-converting enzyme 2 (ACE2), which plays an important role in the renin-angiotensin-aldosterone system, and the transmembrane protease serine protease-2 (TMPRSS2) for S protein priming [35,36,37]. This process downregulates the expression of ACE2, leading to upregulation of the proinflammatory response induced by angiotensin II [38]. Other potential pathways of entry, such as the receptor Basigin (BSG/CD147) and proteases such as TMPRSS4, cathepsins B and L (CTSB and CTSL, respectively), FURIN, and MX dynamin-like GTPase 1 (MX1), are under investigation in relation to SARS-CoV-2 infectivity [39,40,41].
Henarejos-Castillo and collaborators analyzed the impact of SARS-CoV-2 infection on the gene expression for receptors in the endometrium and observed different expressions for the various receptors [42]. Additionally, gene expression for some of the receptors was found to increase with age, and expression varied throughout the different phases of the menstrual cycle [42]. Thus, the endometrium has an overall low risk of SARS-CoV-2 infection, due to the low expression of ACE2 [43] and intermediate expression of TMPRSS2 [42]. However, the risk changes with varying expression of these host receptors at specific stages of the menstrual cycle [42,44]. Nonetheless, their study suggests that low expression of ACE2 and TMPRSS2 in endometrial cells does not imply that other mechanisms are not involved in infectivity [44].
Remarkably, even if infection of endometrial cells by SARS-CoV-2 is unlikely, gene expression of their receptors is altered. A study by Miguel-Gomez et al. involving a cohort of 24 women with COVID-19 (n = 14) and without COVID-19 (n = 10), showed that even though SARS-CoV-2 was absent from the endometrial tissue in COVID-19 patients, there was alteration in gene expression for receptors in the endometrial tissue despite the absence of SARS-CoV-2 RNA [45]. In addition, from a clinical perspective, it remains unclear whether patients with thoracic endometriosis may have a higher risk of pulmonary disease or SARS-CoV-2 infection [46]. However, evidence from recent studies has shown an increased risk of SARS-CoV-2 infection in other common gynecological conditions such as endometrial hyperplasia and cancer [47], polycystic ovary syndrome [48], and breast cancer [49].
The explanation for the increase in clinical manifestations of endometriosis such as pelvic pain, dysmenorrhea, and dyspareunia during the COVID-19 pandemic is unclear. However, evidence related to these altered pain symptoms has pointed to the cascading of events in the renin-angiotensin–aldosterone system (RAAS), which leads to enhanced oxidative stress [50]. The binding of SARS-CoV-2 to ACE2 receptors causes the accumulation of angiotensin II, resulting in the impairment of the RAAS, which in turn generates enhanced oxidative stress, thereby producing inflammation, vasoconstriction, and endothelial dysfunction [51,52]. These resultant changes manifest as amplified nociceptive inflammatory pain [7]. Additionally, endometriosis patients are found to have elevated levels of proinflammatory factors such as IL-6, IL-8, TNF-α, and prostaglandin E2 [53]. Besides this, it has been well established that SARS-CoV-2 patients are observed to have high levels of IL-6, IL-8, and TNF-α [54]. Thus, SARS-CoV-2 infection intensifies an already proinflammatory state seen in endometriosis patients.
However, many of the endometriosis patients included in this analysis reported the worsening of existing symptoms [3,16] or the development of new symptoms [15], despite testing negative for SARS-CoV-2. Therefore, it can be postulated that the worsening of symptoms was also due to impacts of the COVID-19 pandemic, rather than solely the result of SARS-CoV-2 infection. Besides this, patients who experienced aggravated symptoms also reported decreased access to medical care and medications [3]. This was directly as a result of the global lockdown, which caused the unavailability of transportation, etc. [30]. Furthermore, the increased anxiety, depression, and stress reported in these patients could be explained by several mechanisms and factors. The chronic pain experienced by these patients causes alteration in neurotransmitters responsible for changes in mood [55], the chronic proinflammatory state causes an impairment of the blood–brain barrier, resulting in behavioral disturbance [56], and loneliness and isolation produces hormonal imbalance [56].
A study by Arena et al. Indicated that patients who reported an increase in anxiety were also shown to have increased stress, which was as a result of difficulty in obtaining hormonal therapy [22]. In addition, endometriosis patients were more likely to experience stress due to the cancellation or postponement of fertility treatment, or medical or surgical appointment [3]. Our results showed that the pooled estimate for anxiety in endometriosis patients was 75%, which was the highest proportion recorded when compared to all the other symptoms. Moreover, Barra and colleagues demonstrated that the majority of endometriosis patients with depression had moderate intensity, and that their Patient Health Questionnaire-9 (PHQ-9) and General Anxiety Disorder-7 (GAD-7) scores were significantly correlated [16]. Finally, univariate analysis revealed that endometriosis patients were twice as likely to experience fatigue when compared to healthy controls [20]. Thus, an increase in pain and worsening of mental health symptoms in endometriosis patients may be due to multiple factors as a result of SARS-CoV-2 infections and the effects of the COVID-19 pandemic.
Although most studies reported the negative impacts of the pandemic (such as increased symptoms or decreased access to medical care and medications), a study by Evans et al. reported some positive effects: approximately 12% of women with endometriosis related the benefits of working from home and the convenience of telehealth, which allowed for better symptom management [10]. However, these positive effects are not tabulated in our results. While our study reported the adverse impacts of the pandemic on endometriosis patients only, evidence has shown the far-reaching effects of the global pandemic on patients with other conditions as well [30].

4. Materials and Methods

This systematic review and meta-analysis was completed according to the PRISMA guidelines [57], and the protocol was pre-registered and published in PROSPERO (CRD42022356074) [58].

4.1. Data Sources and Search Strategy

We conducted a comprehensive search on MEDLINE, Science Direct, Scopus, and Google Scholar, using the following keywords: (endometriosis) AND (COVID-19 OR SARS-CoV-2). The search included studies published from 1 January 2020 through 26 August 2022. The language was restricted to English.

4.2. Study Selection and Eligibility Criteria

Citation files for the databases searched were imported into Zotero and duplicates were removed. The titles and abstracts were screened by two reviewers (Z.K. and P.R.) for eligibility, after which the full text of articles meeting the inclusion criteria was further examined for inclusion in this review. Any differences in study eligibility were resolved through discussion by the reviewers. Inclusion criteria were original, peer-reviewed studies (cohort studies, case-control studies, cross-sectional studies, mixed-methods, and randomized studies) that investigated the prevalence of SARS-CoV-2 in patients with endometriosis, and studies that examined the health impacts of the COVID-19 pandemic on endometriosis patients. We excluded case reports, cases series, review articles, abstracts, conference proceedings, and studies in which full-text articles were unavailable.

4.3. Study Outcomes, Data Extraction, and Quality Assessment

We examined two aspects of COVID-19 on endometriosis patients, whose diagnosis had to be confirmed surgically or clinically. A diagnosis of COVID-19 had to be confirmed by RT-PCR or antigen testing. Firstly, we analyzed the proportion of endometriosis patients who were tested positive for SARS-CoV-2. Secondly, we analyzed the health impacts that the COVID-19 pandemic had on endometriosis patients. The health impacts that we examined include access to medical care, access to medication, chronic pelvic pain, dysmenorrhea, dyspareunia, gastrointestinal symptoms such as dyschezia, fatigue, stress, anxiety, and depression.
The data for study characteristics, number of endometriosis patients, proportion of endometriosis patients according to SARS-CoV-2 status, and health impacts of the COVID-19 pandemics and their assessment tools, were extracted onto an Excel(R) spreadsheet. A quality assessment of the included studies was conducted using the QUADAS-2 [59] risk-of-bias assessment tool by two reviewers (Z.K. and P.R.).

4.4. Statistical Analysis

Pooled estimates and 95% confidence intervals (CI) were calculated for the prevalence of COVID-19 in endometriosis patients, along with the health impacts of the COVID-19 pandemic in endometriosis patients, using the generic inverse-variance method. We used the random effects method. The total prevalence was reported as a percentage among the included studies. The heterogeneity between studies was assessed using the I2 statistic. Studies with an I2 statistic > 50% were considered to have significant heterogeneity. Pooled analyses were considered statistically significant when the p value < 0.05. Open Meta Analyst software was used to create forest plots and analyze the included studies. Publication bias was examined by visually inspecting a funnel plot created by the JASP software, and by performing Egger’s test [60]. The forest plot was created only from studies with available quantitative data on access to medical care (10 studies) and medications (2 studies).

5. Conclusions

Our analysis suggests that endometriosis patients may have increased susceptibility to SARS-CoV-2 infection. However, due to insufficient data on homogenous groups, our study did not reach statistical significance for the risk estimate. Nevertheless, the prevalence of SARS-CoV-2 infection in endometriosis patients was substantial. Undeniably, endometriosis patients were negatively impacted regarding access to medical care during the COVID-19 pandemic. Moreover, a majority of patients experienced the worsening of pelvic pain, anxiety, depression, and fatigue, whereas approximately half of the patients reported increased dysmenorrhea, dyspareunia, and dyschezia.

Author Contributions

Conceptualization, P.V.A.K.R.; methodology, P.V.A.K.R. and Z.K.; software, P.V.A.K.R.; validation, P.V.A.K.R. and Z.K.; formal analysis, P.V.A.K.R.; investigation, P.V.A.K.R. and Z.K.; resources, P.V.A.K.R., Z.K., and M.E.R.-N.; data curation, P.V.A.K.R. and Z.K.; writing—original draft preparation, Z.K., P.V.A.K.R. and M.E.R.-N.; writing—review and editing, Z.K., P.V.A.K.R. and M.E.R.-N.; visualization, P.V.A.K.R. and Z.K.; supervision, P.V.A.K.R. and M.E.R.-N.; project administration, P.V.A.K.R. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding. The APC was funded by St. George’s University School of Medicine, St. George, Grenada.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data can be found in the following databases: MEDLINE, Science direct, Scopus, and Google scholar.

Conflicts of Interest

The authors declare no conflict of interest.

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Ijms 23 12951 g001 550
Figure 1. Flow diagram of the included studies.
Figure 1. Flow diagram of the included studies.
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Figure 2. Prevalence and risk of COVID-19 in endometriosis patients. Square boxes represent individual studies; horizontal lines represent 95% confidence intervals (CIs); vertical dotted lines represent pooled estimate; and diamond-shaped figures represent 95% CIs of pooled estimate.
Figure 2. Prevalence and risk of COVID-19 in endometriosis patients. Square boxes represent individual studies; horizontal lines represent 95% confidence intervals (CIs); vertical dotted lines represent pooled estimate; and diamond-shaped figures represent 95% CIs of pooled estimate.
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Figure 3. Pooled prevalence for decreased access to medical care and medications. Square boxes represent individual studies; horizontal lines represent 95% confidence intervals (CIs); vertical dotted lines represent pooled estimate; and diamond-shaped figures represent 95% CIs of pooled estimate.
Figure 3. Pooled prevalence for decreased access to medical care and medications. Square boxes represent individual studies; horizontal lines represent 95% confidence intervals (CIs); vertical dotted lines represent pooled estimate; and diamond-shaped figures represent 95% CIs of pooled estimate.
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Figure 4. Pooled prevalence for increased dysmenorrhea and dyspareunia. Square boxes represent individual studies; horizontal lines represent 95% confidence intervals (CIs); vertical dotted lines represent pooled estimate; and diamond-shaped figures represent 95% CIs of pooled estimate.
Figure 4. Pooled prevalence for increased dysmenorrhea and dyspareunia. Square boxes represent individual studies; horizontal lines represent 95% confidence intervals (CIs); vertical dotted lines represent pooled estimate; and diamond-shaped figures represent 95% CIs of pooled estimate.
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Figure 5. Pooled prevalence for increased pelvic pain and dyschezia and other GI symptoms. Square boxes represent individual studies; horizontal lines represent 95% confidence intervals (CIs); vertical dotted lines represent pooled estimate; and diamond-shaped figures represent 95% CIs of pooled estimate.
Figure 5. Pooled prevalence for increased pelvic pain and dyschezia and other GI symptoms. Square boxes represent individual studies; horizontal lines represent 95% confidence intervals (CIs); vertical dotted lines represent pooled estimate; and diamond-shaped figures represent 95% CIs of pooled estimate.
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Figure 6. Pooled prevalence for increased depression and anxiety. Square boxes represent individual studies; horizontal lines represent 95% confidence intervals (CIs); vertical dotted lines represent pooled estimate; and diamond-shaped figures represent 95% CIs of pooled estimate.
Figure 6. Pooled prevalence for increased depression and anxiety. Square boxes represent individual studies; horizontal lines represent 95% confidence intervals (CIs); vertical dotted lines represent pooled estimate; and diamond-shaped figures represent 95% CIs of pooled estimate.
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Figure 7. Pooled prevalence for increased stress and fatigue. Square boxes represent individual studies; horizontal lines represent 95% confidence intervals (CIs); vertical dotted lines represent pooled estimate; and diamond-shaped figures represent 95% CIs of pooled estimate.
Figure 7. Pooled prevalence for increased stress and fatigue. Square boxes represent individual studies; horizontal lines represent 95% confidence intervals (CIs); vertical dotted lines represent pooled estimate; and diamond-shaped figures represent 95% CIs of pooled estimate.
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Figure 8. Risk of bias and quality assessment of studies according to QUADAS-2.
Figure 8. Risk of bias and quality assessment of studies according to QUADAS-2.
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Figure 9. Funnel plot of studies with data for decreased access to medical care. Prevalence (percentage) of endometriosis patients who reported decreased access to medical care or medication. Standard error is calculated for the prevalence of each study.
Figure 9. Funnel plot of studies with data for decreased access to medical care. Prevalence (percentage) of endometriosis patients who reported decreased access to medical care or medication. Standard error is calculated for the prevalence of each study.
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Table
Table 1. Characteristics of the studies on the prevalence and impact of COVID-19 in endometriosis patients.
Table 1. Characteristics of the studies on the prevalence and impact of COVID-19 in endometriosis patients.
Prevalence of COVID-19
StudyStudy SiteStudy DesignSample SizeEndometriosis Cases (n)Endometriosis Cases + for COVID-19 (n, %)
Bahat, 2020 [14]TurkeyCross-sectional25325328 (11.1)
Moazzami, 2021 [9]IranCase-control102750616 (3.2)
Ramos, 2021 [15]Puerto RicoCross-sectional82821 (0.01)
Ashkenazi, 2022 [3]International *Cross-sectional29642964183 (6.2)
Barretta, 2022 [17]ItalyCase-control40120146 (22.9)
Nicolas, 2022 [16]SpainProspective cohort94554938 (6.9)
Impact of COVID-19
StudyStudy SiteStudy DesignSample SizeAssessment Tool
Bahat, 2020 [14]TurkeyCross-sectional253EHP-5, GAD-7, STAI-Y6, IES-R
Arena, 2021 [18]ItalyCross-sectional468-
Demetriou, 2021 [19]International ★Cross-sectional6729Numerical rating scale
Evans, 2021 [10]AustraliaMixed-methods162-
Gupta, 2021 [11]USARetrospective cohort221Peritraumatic Distress Inventory
Ramos, 2021 [15]Puerto RicoCross-sectional82Fertility QOL ENDOCARE
Rosielle, 2021 [20]NetherlandsCross-sectional181Visual Analog Pain Scale, PDI
Schwab, 2021 [21]GermanyCross-sectional285Endometriosis Health Profile-30
Armour, 2022 [2]International †Cross-sectional1634Endometriosis Health Profile-30
Ashkenazi, 2022 [3]International *Cross-sectional2964GAD-7, PHQ-9
Barra, 2022 [12]ItalyCross-sectional--
Keilmann, 2022 [22]GermanyRetrospective cohort3576Depression, Anxiety and Stress Scale-21
Bik-M, 2022 [13]AustraliaProspective cohort138EQ-5D-3L
Mezes, 2022 [23]USAProspective cohort27Modified Symptom and QOL
Nicolas, 2022 [16]SpainProspective cohort549-
Pretzel, 2022 [24]USACross-sectional70Visual Analog Pain Scale, PHQ-4
Schwab, 2022 [25]GermanyCross-sectional274EHP-5, GAD-7, STAI-Y6, IES-R
*—included 59 countries; ★—included 84 countries; †—included 46 countries. EHP-5—Endometriosis Health Profile-5; GAD-7—General Anxiety Disorder-7; STAI-Y6—Spielberger State-Trait Anxiety Inventory-Y6; QOL—Quality of Life; PHQ—Patient Health Questionnaire; EQ-5D-3L—European Quality of Life 5 Dimensions 3 Level Version. - Assessment tool not used or stated.
Table
Table 2. Impacts of the COVID-19 pandemic on endometriosis patients.
Table 2. Impacts of the COVID-19 pandemic on endometriosis patients.
StudyAccess to Doctor/Care ↓Access to Medication ↓Chronic Pelvic Pain ↑Dysmenorrhea ↑Dyspareunia ↑Dyschezia and Other GI Symptoms ↑Fatigue ↑Stress ↑Anxiety/Worry ↑Depression ↑
Bahat, 2020 [14]✓---------
Arena, 2021 [18]✓✓✓✓✓✓--✓-
Demetriou, 2021 [19]✓✓--------
Evans, 2021 [10]✓✓-✓---✓✓-
Gupta, 2021 [11]✓---------
Ramos, 2021 [15]✓✓✓✓✓✓✓✓✓✓
Rosielle, 2021 [20]✓------✓--
Schwab, 2021 [21]--✓✓✓✓-✓--
Armour, 2022 [2]✓✓✓✓✓✓✓✓✓✓
Ashkenazi, 2022 [3]✓--------✓
Barra, 2022 [12]✓✓✓✓✓--✓✓✓
Bik-M, 2022 [13]-------✓✓✓
Keilmann, 2022 [22]✓---------
Mezes, 2022 [23]✓---------
Nicholas, 2022 [16]✓-✓--✓✓---
Pretzel, 2022 [24]✓---------
Schwab, 2022 [25]--------✓✓
↑ increased; ↓ decreased; ✓ assessed in the study; - not assessed in the study.
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Kabani, Z.; Ramos-Nino, M.E.; Ramdass, P.V.A.K. Endometriosis and COVID-19: A Systematic Review and Meta-Analysis. Int. J. Mol. Sci. 2022, 23, 12951. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms232112951

AMA Style

Kabani Z, Ramos-Nino ME, Ramdass PVAK. Endometriosis and COVID-19: A Systematic Review and Meta-Analysis. International Journal of Molecular Sciences. 2022; 23(21):12951. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms232112951

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Kabani, Ziyaana, Maria E. Ramos-Nino, and Prakash V. A. K. Ramdass. 2022. "Endometriosis and COVID-19: A Systematic Review and Meta-Analysis" International Journal of Molecular Sciences 23, no. 21: 12951. https://0-doi-org.brum.beds.ac.uk/10.3390/ijms232112951

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