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Article

The Prevalence of Sjögren’s Disease in Dental Clinics in the Netherlands Compared with the Prevalence in a Systematic Literature Review of Studies in Other Countries

by
Floor Maarse
1,
Jitse F. Huisinga
2,
Derk Hendrik Jan Jager
1,3 and
Henk S. Brand
4,*
1
Department of Oral and Maxillofacial Surgery/Oral Pathology, Amsterdam UMC, Location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
2
JFH Dentists, 1901 GG Castricum, The Netherlands
3
Amsterdam Institute for Infection and Immunity, Inflammatory Diseases, Location Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
4
Department of Oral Biochemistry, Academic Centre for Dentistry (ACTA), 1081 LA Amsterdam, The Netherlands
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2024, 13(19), 5918; https://doi.org/10.3390/jcm13195918
Submission received: 29 August 2024 / Revised: 26 September 2024 / Accepted: 1 October 2024 / Published: 3 October 2024
(This article belongs to the Special Issue Interaction Between Systemic Diseases and Oral Diseases)

Abstract

:
Background/Objectives: Sjögren’s disease (SjD) is an autoimmune disease causing irreversible damage to the exocrine glands but can have symptoms throughout the entire body. The aim of this study is to determine the prevalence of Sjogren’s disease (SjD) in the Netherlands, compare this with the prevalence for other countries in a systematic literature review. Methods: In the first part of this study, the prevalence of SjD was determined at two academic dental clinics in the Netherlands by electronically analysing patient records. In the second part of this study, a systematic literature search was performed in PubMed. Studies in the English language reporting prevalence ratios (PRs), incidence ratios (IRs) or sufficient data to calculate these parameters were included. Population-based studies and population surveys aiming to examine an entire geographic region or using a clearly defined sampling procedure were included. Review studies were excluded. Studies that did not report sufficient data or contained no original data were excluded. Included studies were assessed using the Newcastle–Ottawa assessment scale. Results: At the dental clinic in Amsterdam, 76 SJD patients were identified among a patient population of 81941, resulting in a prevalence ratio of 93 per 100,000 (0.093%) patients. In Nijmegen, 21 SjD patients were identified in a total patient population of 14,240, resulting in a prevalence ratio of 147 per 100,000 (0.15%). Thirty-one studies were included in the systematic review. They varied in diagnostic criteria for SjD with the American-European Consensus Group (AECG) criteria being the most widely used. The reported prevalence ratio varied from 0.008% to 3.3%. The overall pooled prevalence ratio of SjD using the AECG criteria was 0.031%, while the pooled prevalence of SjD using the EU criteria was 0.029%. The overall pooled incidence ratio was 5.2 (95%CI 4.7 to 5.6) per 100,000 person-years. Conclusions: The estimated prevalence ratio of SjD in the Netherlands (0.09% to 0.15%) falls within the worldwide range but is higher than the worldwide pooled prevalence ratio.

1. Introduction

Sjögren’s disease (SjD) is a chronic and progressive autoimmune disease causing irreversible damage to the exocrine glands and is associated with the B and T lymphocyte infiltration of the affected glands [1,2]. Although SjD is a systemic disease and can have symptoms throughout the entire body, it mainly affects the lacrimal and salivary glands. The predominant symptoms are dry eyes, hyposalivation and xerostomia [2,3]. Other symptoms are fatigue, joint pain, vaginal dryness and depression [3,4,5,6]. Furthermore, among patients with SjD, the risk of B-cell lymphoma is 15 to 20 times higher than in the general population [6]. SjD can be divided into primary SjD and SjD associated with another rheumatic disease, such as rheumatoid arthritis or systemic lupus erythematosus [3,7]. Due to the decreased saliva secretion, the altered saliva composition [8] and the reduced capability of saliva to buffer, lubricate and perform antimicrobial activities, caries risk in SjD patients is increased [9,10]. SjD patients have an increased risk of root caries and caries on the labial and incisal surfaces of the teeth. Also, a diminished taste [11] and swallowing disorders [12] are frequently reported. Finally, SjD can increase the risk of Candidiasis and the inflammation of the oral mucosa [9]. In the early stages of SjD, salivary flow can be stimulated by the use of lozenges and chewing gums or systematic pharmacotherapies such as pilocarpine or cevimeline [13,14]. Alternatively, sialoendoscopy as a therapeutic procedure [15] and acupuncture [13,16] have also been reported to increase saliva production.
Worldwide, several studies have explored the prevalence of SjD, and large differences have been reported between different parts of the world. This could be related to ethnic and geographical differences [7,17]. Moreover, the use of different classification criteria to diagnose SjD could also explain these differences. Some studies use the International ‘Statistical Classification of Diseases and Related Health Problems’ (ICD) code system, a globally used tool to classify diseases. The ICD system is primarily used for administrative purposes, such as tracking diseases, reimbursement and public health reporting. It does not define specific clinical criteria for the diagnosis of SjD but simply categorizes diseases based on existing definitions. Other frequently used diagnosis criteria are the EU-1993 and EU-1996, Copenhagen and San Diego criteria. For harmonization purposes, the American-European Consensus Group (AECG) proposed in 2002 a new set of criteria, based on previous research by Vitali and co-workers [18]. Finally, in 2016, the ACR/EULAR set of criteria was introduced, which excludes the most common differential diagnoses. It also differs substantially from the previous AECG criteria in that it considers systemic manifestations and introduced a weighted scoring system. [19] The EU-1993 and the San Diego and the Copenhagen criteria could be regard as more symptom-based criteria placing emphasis on patient-reported symptoms of dry eyes and dry mouth. In contrast, the EU-1996, the AECG and the 2016 ACR/EULAR criteria place more focus on objective tests including histopathological examination and antibody testing (anti-Ro/SS-A and anti-La/SS-B), moving away from reliance on subjective symptoms [20]. The use of different classification criteria and the broad nature of ICD coding can create substantial differences in the reported prevalence of Sjögren’s syndrome. More lenient or symptom-based criteria will often lead to higher prevalence estimates, while stringent, objective-based criteria that rely on specific test results will produce lower estimates. This discrepancy is influenced by varying access to diagnostic testing, changing classification standards over time and the administrative nature of the ICD coding system.
The prevalence of SjD in the Netherlands is unknown. Therefore, the aim of our study was to determine the prevalence of Sjögren’s disease at two academic dental clinics in the Netherlands and compare this prevalence with a worldwide systematic literature review of previous studies in other countries.

2. Material and Methods

2.1. Patient Selection for Prevalence Study

This study was approved on 21 November 2019 by the Internal Ethical Review Board of the Academic Centre for Dentistry Amsterdam (ACTA) under protocol number 201967. To determine the prevalence of SjD within the Academic Centre of Dentistry Amsterdam (ACTA), the electronic health record system Axium (Exan group, Coquitlam, BC, Canada) was automatically searched as previously described [21] for the terms Sjögren, Sjogren, Sjögrens syndrome and Sjogrens syndrome. Only patients who visited the dental clinic in the period from 2010 up to 2019 were included.
In the prevalence study performed at RadboudUMC Nijmegen, patients were identified by an automated search in the electronic health record system Dentium EDU (Netpoint Group, Waalwijk, the Netherlands). The search term ‘Sjogren’ was used to identify patients who visited the dental clinic in the period from 2010 to 2019. Data about the diagnosis of SjD were extracted manually by reviewing the identified health records. In both dental clinics, the prevalence ratio was calculated by dividing the number of SjD patients identified by the total number of patients that enrolled in the clinic during these years.

2.2. Systematic Literature Review

2.2.1. Type of Studies

For this research, population-based studies and population surveys aiming to examine an entire geographic region or using a clearly defined sampling procedure were included. Review studies were excluded. Studies were eligible for inclusion if they reported prevalence ratios (PRs), incidence ratios (IRs) or sufficient data to calculate the PRs or IRs. Studies that did not report sufficient data or contained no original data were excluded.

2.2.2. Type of Participants

The selected studies included patients with primary SjD or SjD associated with another rheumatic disease.

2.2.3. Types of Outcome Measures

The prevalence of SjD was the primary variable of interest. The prevalence ratio data included the number of patients with SjD and the size of the study population during the study period. The secondary variables extracted were the author, publication year, country of origin, study period, the patient selection method, patient age and criteria used for the diagnosis of SjD.

2.2.4. Search Strategy, Screening and Selection

The electronic database PubMed was searched using the term ‘Sjogren’s syndrome’ in combination with ‘prevalence’ and ‘epidemiology’ for studies up to August 2024 using the following search strategy: “Sjogren’s Syndrome” [Mesh] AND (“Prevalence” [Mesh] OR “Epidemiology” [Mesh] OR “Sjogren’s Syndrome” [Mesh] epidemiology OR “Epidemiology” [Mesh] Sjogren’s Syndrome OR “Sjogren’s Syndrome” [Mesh] prevalence OR Epidemiology Sjögren’s Syndrome). Language was restricted to English.
The titles and abstracts of all identified publications were screened by two reviewers. Differences in judgement were resolved through a consensus procedure. If eligible aspects were present in the title or abstract, full-text publications were obtained, fully read and assessed. Publications which fulfilled all selection and inclusion criteria were included for data extraction. The reference lists of the included publications were also manually searched for potentially relevant publications.

2.2.5. Quality Assessment

Included studies were assessed for quality and bias using the Newcastle–Ottawa Quality Assessment Scale (NOS) for case–control and cohort studies [22]. The NOS consists of 8 items, which are divided into 3 domains: selection, comparability and exposure. Assessed items in the ‘’selection’’ domain were the adequacy of the case definition, representativeness of the cases, selection of controls and the definition of controls. In the ‘’comparability’’ domain only the comparability of the cases was assessed, and in the last domain ‘exposure’, the ascertainment of exposure, the same method of case ascertainment and the non-response rate were assessed. One observer (JH) generated the scores of the included publications. When a study fulfilled an item, this was expressed with a “*”. No symbol indicated that the study was not adequate, or it was not clear whether it was adequate. In case–control and cohort studies, a maximum of 8 points could be obtained. In the adjusted version, applied in this review, only a maximum of 5 items could be assessed. In the ‘selection’ domain, the items ‘selection of controls’ and ‘definition of controls’ were not assessed and neither was ‘the ascertainment of exposure’ in the ‘exposure’ domain. These items were scored as NA = not applicable.

2.2.6. Data Extraction

Two review authors (JFH and FM) extracted data independently with the help of data extraction forms, and outcome data were summarized into Review Manager (RevMan 5.3). The details of the study such as the authors, year of publication, prevalence, prevalence ratio, incidence and incidence ratio were extracted for each study and documented in a data sheet. The overall incidence ratio and overall prevalence ratio were calculated as the weighted average of all included studies. Subsequently, the confidence interval for the calculated overall ratios was determined using the sample size calculator for designing clinical research (www.sample-size.net/confidence-interval-proportion/) (accessed on 13 August 2024).

3. Results

The ACTA electronic health record system comprised 81,941 patients who enrolled between 2010 and 2020. A total of 76 patients with SjD were identified. The prevalence of SjD at ACTA was 0.093%, and the prevalence ratio was 92.75 per 100,000 persons. At the dental school of RadboudUMC Nijmegen, the electronic health record system comprised 14,240 patients. In this database, 21 patients were labelled as SjD patients. The prevalence was 0.15%, and the prevalence ratio was 147.47 per 100,000 persons.

3.1. Literature Study

Initially, 1995 publications were found, and after restriction to publications in the English language, 1829 publications remained. All publications were screened for eligibility based on the title and abstract, after which 77 publications remained. These were screened full text for suitability. Twenty-eight studies were excluded because they did not contain data on the prevalence or incidence of SjD; in three other studies, the data were insufficient to be included, and one study contained data already presented in another publication. Fourteen studies were excluded since they only investigated specific populations. This resulted in 31 included studies. The included studies, of which 21 provided only prevalence ratios, 5 provided only incidence ratios and 5 provided both, were assessed for quality and included for data extraction (Figure 1).

3.2. Prevalence Ratio of SjD

Seventeen of the included prevalence studies were conducted in Europe [17,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38], five in Asia [39,40,41,42,43], one in the USA [44] and three in South America [45,46,47] (Table 1). Among the included studies were 14 medical record searches, in which the medical history of included patients was screened for SjD and diagnosis criteria, and 11 questionnaires followed by a clinical examination to determine whether patients are indeed suffering from SjD. The remaining studies used an initial telephone survey followed by the screening of medical records when necessary. All studies were published between 1995 and 2024. The American-European Consensus Group (AECG) criteria were the most widely used (12 studies) as diagnostic criteria, followed by 8 studies using ICD criteria, 4 studies using the EU criteria, 2 studies using the 2016 ACR/EULAR criteria and 1 using the San Diego criteria.
One study did not provide information on the number of assessed patients [47]. In the remaining 25 studies, the number of included subjects varied from 332 to 67 million patients with a mean of 4,213,682 patients. In three studies, only female subjects were included [27,28,40]. A total of 8 studies took a sample of patients registered in hospitals or rheumatology clinics, 5 studies took a sample of the national health insurance databases and 14 studies included patients from an entire region or country. Sixteen studies reported the prevalence of patients with primary SjD, three studies reported separate values for pSjD and SjD associated with another rheumatic disease and eight studies reported the prevalence of SjD in general.
The total population of subjects, investigated according to the AECG criteria, comprised 4,158,123 individuals with a total pooled prevalence of 0.031%. The highest prevalence in a study using the AECG diagnostic criteria was 0.72% in Turkey [40]. The lowest prevalence using the AECG was 0.01% in both France [32] and the USA [44]. The total population of individuals screened according to the EU criteria was 118,961 with a pooled prevalence of 0.029%, ranging from 0.22% in Norway [29] to 3.30% in the United Kingdom [33]. The total number of subjects in seven studies with the ICD criteria comprised 94,663,803 individuals with a pooled prevalence of 0.048%, varying from 0.038% in Italy [34] to 0.12% in Colombia 7]. The single study from China that used the San Diego criteria reported a prevalence of 0.30% [43].

3.3. Incidence Ratio of SjD

Ten studies reported the incidence ratio of SjD [23,35,41,42,44,48,49,50,51,52] (Table 2). Four studies were performed in Asia [41,42,50,52], four in Europe [23,35,49,51] and two in the USA [44,48]. Of the included studies, three used AECG and one used the EU criteria. Four studies used International Classification of Diseases (ICD) codes, one study used a combination of ICD and ACR-EULAR criteria and one study did not report the diagnosis criteria used.
The overall study population was 118,356,435. The overall pooled incidence rate was 5.2 (95%CI 4.7 to 5.6) per 100,000 person-years. Two studies reported a change in incidence rate over time. Seror et al. [35] reported that the incidence rate declined in the period 2012–2017, while Conrad et al. [51] reported an increase in the years 2017–2019 compared to 2000–2002.
The total population of individuals diagnosed according to the AECG criteria was 25,074,308. The reported incidence rates in the studies using the AECG criteria ranged from 3.5 (95%CI 2.9 to 4.00) per 100,000 person-years in the USA [44] to 6.0 (5.8 to 6.2) per 100,000 person-years in Taiwan [50]. The pooled incidence rate of SjD in subjects evaluated with the AECG criteria was 5.8 per 100,000 person-years (95%CI 5.4 to 6.3).

3.4. Quality Assessment

Only 6 of the 31 included studies fulfilled all 5 relevant criteria of the adjusted Newcastle–Ottawa quality assessment (Table 3). Sixteen studies fulfilled four criteria, while 8 studies fulfilled three criteria and 1 study only two criteria. The most frequent missing information concerned the non-response rate, which was lacking in 19 studies, followed by missing information on the comparability of cases on the basis of the design or analysis (missing in 6 studies). The case definition and the representativeness of the cases were both inadequate in four studies. Four other studies did not use the same method of ascertain of cases.

4. Discussion

This study showed considerable variation in the reported prevalence and the incidence of SjD between countries. The observed SjD prevalence in the Netherlands falls within the range of the worldwide prevalence.
The variation in the results might be related to the different classification criteria used for the diagnosis of SjD, as the items of the criteria of the classification systems differ considerably. According to the EU criteria, patients that suffered from pre-existing lymphoma, acquired immune deficiency disease, sarcoidosis or graft-versus-host disease have to be excluded [53]. In the AECG criteria, these exclusion criteria were extended with the use of anticholinergic drugs, previous head and neck radiation treatment and hepatitis C virus (HCV) infection [18]. Furthermore, according to the AECG criteria, patients should not be given anaesthesia while performing Schirmer’s test, and the definition of ‘histopathology’ was slightly stricter than in the EU criteria [18]. Despite the more strict AECG criteria, the total pooled prevalence of SjD in populations investigated with the ACEG criteria was comparable to the pooled prevalence according to the EU criteria (0.031% and 0.029%, respectively). This suggests that more stringent diagnostic criteria do not lead to a lower estimated prevalence in the population.
Three studies [27,28,40] included only female patients. Because SjD mainly affects women (female–male ratio: 9:1) [1], one limitation of a population study on female individuals only is that it will result in the overestimation of the prevalence of SjD in the general population. Moreover, the included studies showed considerable variation in the mean age of the investigated populations, which also could have affected the prevalence of SjD [30]. The peak incidence of SjD is at approximately 50 years of age [6,54], and the median delay between the appearance of the initial symptoms of SjD and the diagnosis is 8.5 years [55]. This will result in a higher prevalence of SjD in studies where the average age of the population is higher than in studies of a younger population. Conversely, studies of younger individuals may lead to the underestimation of the prevalence of SjD.
In addition, the dropout of patients in some studies could also have affected the reported prevalence and incidence ratios. Anagnostopoulos et al., Thomas et al. and Tomšič et al. reported a response rate of 37 to 48% on their questionnaires [24,26,33]. In contrast, Birlik et al. and Haugen et al. reported much higher response rates of 70% and 98%, respectively [30,39]. The exclusion of the dropouts from the results of the study might introduce the possibility of a response bias, as shown in the study by Bowman et al. [27]. Some investigators tried to correct for the non-response, using assumptions from other similar surveys. Thomas et al. [33] assumed that non-responders are likely to be closer to ‘reluctant’ responders, similar to in a study on low back pain [56]. Haugen et al. and Valim et al., who performed a study based on an initial questionnaire followed by a clinical examination, were confronted with another problem [30,46]. Some of the patients refused an appointment for a physical examination by a physician, which was necessary to confirm the diagnosis. Narvaez and co-workers, who used an initial screening by telephone, were confronted during two phases of their studies with people who did not want to cooperate. Firstly, there were many people who did not want to participate in the initial telephone screening. In addition, several people who had indicated a diagnosis of SjD or Sicca during the telephone interview refused to have that confirmed by a rheumatologist. The fact that in a proportion of SjD patients the diagnosis could not be confirmed affects the reliability of the prevalence reported in these studies.
A limitation of the systematic literature study is that only the Pubmed scientific database was searched, and the search was limited to publications in the English language. This may explain why the majority of the included studies originated from Europe and the USA. As ethnic and geographical differences have been reported [7,17], the under-representation of other continents may have affected the estimation of the total pooled prevalence and incidence.
In our study, to determine the prevalence of SjD in the Netherlands, it can be questioned to what extent patients of academic dental clinic centres are representative of the entire Dutch population. Considering that SjD patients more often suffer from oral health problems [57], it is possible that these patients are more frequently referred to an academic dental clinic, resulting in the over-representation of SjD patients in our study population. Furthermore, SjD patients in the Netherlands are less employed than the general Dutch population, and almost half of all SjD patients in the Netherlands receive disability benefits [58]. The cost of treatment at university dental clinics is lower than that of treatment in a regular dental practice in the Netherlands. As a result, we cannot exclude the possibility that, due to a lower socioeconomic status, SjD patients are more likely to be registered in university dental clinics. Also, the available electronic records lacked further information regarding the diagnosis of SjD. It is therefore possible that some patients have reported to suffer from SjD, without this diagnosis being confirmed by a rheumatologist. Altogether, this means that using data from dental university clinics may have resulted in a certain overestimation of the prevalence of SjD in the Netherlands.

5. Conclusions

Despite several potential limitations, this review of the relevant scientific literature provided an insight into the worldwide prevalence of SjD. Although the reported prevalence in the individual studies shows a wide variation from 0.008% to 3.30%, the pooled worldwide prevalence of SjD seems to be in the range of 0.03% to 0.05%, depending on the classification system used. The estimate prevalence in the Netherlands differed slightly from the pooled worldwide prevalence at 0.09% to 0.15%, which might be related to the population surveyed. Despite this relatively low prevalence in the general population, it is essential that healthcare providers screen patients for the possible presence of SjD so that patients can receive optimal (oral) healthcare for complications resulting from SjD at an early stage of the disease.

Author Contributions

Conceptualization, D.H.J.J. and H.S.B.; methodology, F.M. and J.F.H.; formal analysis, J.F.H. and H.S.B.; investigation, J.F.H.; data curation, H.S.B.; writing—original draft preparation, F.M. and J.F.H.; writing—review and editing, H.S.B.; supervision, D.H.J.J. and H.S.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

This study was approved on 21 November 2019 by the Internal Ethical Review Board of the Academic Centre for Dentistry Amsterdam (ACTA) under protocol number 201967.

Data Availability Statement

The data from the patient survey in the Netherlands are not available due to privacy reasons. The articles on which the systematic review is based are available upon request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. PRISMA flowchart of identification and selection of studies for inclusion.
Figure 1. PRISMA flowchart of identification and selection of studies for inclusion.
Jcm 13 05918 g001
Table 1. Overview of included Sjögren’s disease prevalence studies.
Table 1. Overview of included Sjögren’s disease prevalence studies.
AuthorPublication YearCountry of OriginStudy PeriodPatients Age (yrs)Diagnostic Criteria UsedPatient Selection MethodStudy PopulationNumber of SjD PatientsPrevalence RatePrevalence Ratio per 100,000Study Design
Alamanos et al. [23]2006Greece1982–2003Mean 55AECGMedical record search488,435422 pSS0.09%92.8Population based
Anagnostopoulos et al. [26]2010Greece2007–2008Mean 51.08AECGQuestionnaire + clinical examination17054 pSS0.23%234.6Cross-sectional
Population survey
Barrio-Cortes et al. [38]2023Spain2015≥ 18AECG, 2012 ACR or 2016 ACR/EULARMedical record search6,401,16247780.084%84Cross-sectional
Population based
Birlik et al. [39]2009TurkeyNSMean 43.7AECGQuestionnaire + clinical examination28356 pSS0.21%211.6Population based
Bowman et al. [27]2004UKNS35–74AECGQuestionnaire + clinical examination846 women2 pSS0.2%236.4Population survey
Cafaro et al. [34]2024Italy2018Mean 61ICD 9Medical record search4,809,0051756 pSS0.038%38Population based
Dafni et al. [28]1997Greece1992NSEU 1993Questionnaire + clinical examination837 women5 pSS0.60%597.3Population survey
Eaton et al. [29]2007Denmark1977–2001NSICD 10Medical record search5,472,0322615 SS0.048%47.8Population based
Fernández-Ávila et al. [47]2020Colombia2012–2016NSICD 10Medical record searchNS58,680 SS0.12%120Population based
Gøransson et al. [17]2011Norway2008Mean 61.6AECGMedical record search890,255424 pSS0.050%49.7Population based
Haugen et al. [30]2008Norway1997–199940–44 & 71–74EU 1996Questionnaire + clinical examination13,182 &
2864
2 pSS &
9 pSS
0.22% &
1.40%
430.01Population survey
Izmirly et al. [44]2019USA2007–2009≥ 18AECGMedical record search1,585,873260 pSS0.01%13.1Population based
Kabasakal et al. [40]2006Turkey2001–2002Mean 37.7AECGQuestionnaire + clinical examination831 women6 pSS0.72%722Cross-sectional
Population survey
Maldini et al. [31]2014France2008–2011Mean 57.1AECGMedical record search1,172,482133 pSS0.01%10.2Population based
Moreno-Quispe et al. [45]2019Peru2016NSICD 10Medical record search15,417,3451301 SS0.0084%8.4Cross-sectional
Population survey
Narváez et al. [37]2020Spain2016–2017NSAECGTelephone survey + medical records491616 pSS
4 sSS
0.25%
0.08%
250
81
Cross-sectional
Population survey
Sardu et al. [32]2012Italy200915–89ICD 9Medical record search25,885NS SS0.03%31Population based
See at al. [42]2013Taiwan2005–2009NSICD 9Medical record search1,000,000583 SS0.05%58.3Population based
Seror et al. [35]2024France2011–2018NSICD 10Medical record search67,000,00023,848 pSS
14,809 sSS
0.023%
0.016%
23
16
Population based
Stankeviciene et al. [36]2021Lithuania2017–201935–742016 ACR/EULARMedical record search + clinical examination14052 pSS
2 sSS
0.14%
0.14%
140
140
Cross-sectional
Population survey
Thomas et al. [33]1998UKNS18–75EU 1993Questionnaire + clinical examination34113 SS3.30%3300Population survey
Tomšič et al. [24]1999SloveniaNSMean female 52.2
Mean male 56.3
EU 1993Questionnaire + clinical examination3322 pSS0.60%602.4Population survey
Trontzas et al. [25]2005Greece1966–1999Mean 55AECGQuestionnaire + clinical examination874013 pSS0.15%148.7Population survey
Valim et al. [46]2013Brazil200018-65AECGQuestionnaire + clinical examination12052 pSS0.175%165.9Cross-sectional
Population survey
Yu et al. [41]2013Taiwan2005–2009NSICD 9Medical record search963,355154 SS0.016%16.0Population based
Zhang et al. [43]1995ChinaNSNSSan DiegoQuestionnaire + clinical examination20667 pSS0.33%338.82Population survey
NS = Not Stated.
Table 2. Overview of included Sjögren’s disease incidence studies.
Table 2. Overview of included Sjögren’s disease incidence studies.
AuthorPublication YearCountry of OriginStudy PeriodPatients Age (yrs)Diagnostic Criteria UsedPatient SelectionStudy PopulationNumber of SjD PatientsIR (95%CI)/100,000Study Design
Alamanos et al. [23]2006Greece1982–2003Mean 55AECGMedical record search488,435422 pSS5.3 (4.5–6.1)Population based
Chen et al. [52]2022Taiwan2002–2012Mean 42.6AECG/ACR-EULARMedical record search189,2001081 pSS0.63 (0.59–0.67)Cross-sectional
Population survey
Conrad et al. [51]2023UK2000–2019Mean 54ICD 10Medical record search22,009,37512,292 SS6.0-10.7 (NS)Cross-sectional
Population based
Izmirly et al. [44]2019USA2007–2009Mean 53AECGMedical record search1,585,873222 pSS3.5 (2.90–4.1)Population based
Pillemer et al. [48]2001USA1976–1992Mean 59NSMedical record search108,14553 pSS3.9 (2.8–4.9)Cross-sectional
Population survey
Plešivčnik et al. [49]2004Slovenia2000–2002Mean 51.3EU 1996Medical record search + clinical examination600,00071 pSS3.9 (1.1–10.2)Population based
See at al. [42]2013Taiwan2005–2009NSICD 9Medical record search1,000,000583 SS11.8 (10.8–12.7)Population based
Seror et al. [35]2024France2011–2018NSICD 10Medical record search67,000,00023,848 pSS
14,809 sSS
0.7–4.3 (NS)
0.2–2.0 (NS)
Population based
Weng et al. [50]2011Lithuania2005–2007Mean 53AECGNHI research database23,000,0003352 pSS6.0 (5.8–6.2)Cross-sectional
Population survey
Yu et al. [41]2013Taiwan2000–2008NSICD 9Medical record search2,375,407855 SS10.6 (9.9–11.4)Population based
NS = Not Stated.
Table 3. Adjursted Newcastle–Ottawa quality assessment.
Table 3. Adjursted Newcastle–Ottawa quality assessment.
SELECTIONCOMPARABILITYEXPOSURE
Is the Case Definition Adequate (1)Representativeness of the Cases (2)Selection of Controls (3)Definition of the Controls (4)Comparability of Cases on the Basis of the Design and Analysis (5)Ascertainment of Exposure (6)Same Method of Ascertain for Cases (7)Non-Respons Rate (8)Score
Alamanos et al. [23]**NANA*NA* 4
Anagnostopoulos et al. [26]**NANA*NA**5
Barrio-Cortes et al. [38]**NANA*NA* 4
Birlik et al. [39]**NANA*NA**5
Bowman et al. [27]* NANA*NA**4
Cafaro et al. [34]**NANA NA* 3
Chen et al. [52]**NANA*NA**5
Conrad et al. [51]**NANA*NA**5
Dafni et al. [28]**NANA*NA* 4
Eaton et al. [29]**NANA*NA* 4
Fernández-Ávila et al. [47]**NANA*NA 3
Gøransson et al. [17]**NANA*NA**5
Haugen et al. [30]**NANA*NA* 4
Izmirly et al. [44]**NANA*NA* 4
Kabasakal et al. [40]* NANA*NA**4
Maldini et al. [31]**NANA*NA**5
Moreno-Quispe et al. [45] NANA*NA* 2
Narváez et al. [37]**NANA NA* 4
Pillemer et al. [48] *NANA*NA* 3
Plešivčnik et al. [49]**NANA*NA* 4
Sardu et al. [32]* NANA*NA 3
See at al. [42]**NANA*NA* 3
Seror et al. [35]**NANA NA* 3
Stankeviciene et al. [36]**NANA NA *3
Thomas et al. [33]**NANA*NA *4
Tomšič et al. [24]**NANA*NA* 4
Trontzas et al. [25] *NANA NA**4
Valim et al. [46]**NANA*NA* 4
Weng et al. [50] *NANA*NA* 3
Yu et al. [41]**NANA NA* 4
Zhang et al. [43]**NANA*NA* 4
For each criterium: * = adequate and NA = not applicable. Blank means not clear or not adequate.
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Maarse, F.; Huisinga, J.F.; Jager, D.H.J.; Brand, H.S. The Prevalence of Sjögren’s Disease in Dental Clinics in the Netherlands Compared with the Prevalence in a Systematic Literature Review of Studies in Other Countries. J. Clin. Med. 2024, 13, 5918. https://doi.org/10.3390/jcm13195918

AMA Style

Maarse F, Huisinga JF, Jager DHJ, Brand HS. The Prevalence of Sjögren’s Disease in Dental Clinics in the Netherlands Compared with the Prevalence in a Systematic Literature Review of Studies in Other Countries. Journal of Clinical Medicine. 2024; 13(19):5918. https://doi.org/10.3390/jcm13195918

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Maarse, Floor, Jitse F. Huisinga, Derk Hendrik Jan Jager, and Henk S. Brand. 2024. "The Prevalence of Sjögren’s Disease in Dental Clinics in the Netherlands Compared with the Prevalence in a Systematic Literature Review of Studies in Other Countries" Journal of Clinical Medicine 13, no. 19: 5918. https://doi.org/10.3390/jcm13195918

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