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. 2022 Jan 29;50:12. doi: 10.1186/s41182-022-00402-x

Prevalence of urinary schistosomiasis in women: a systematic review and meta-analysis of recently published literature (2016–2020)

Morteza Shams 1, Sasan Khazaei 2, Ezatollah Ghasemi 3, Naser Nazari 4, Erfan Javanmardi 5, Hamidreza Majidiani 6, Saeed Bahadory 2, Davood Anvari 7,8, Mohammad Fatollahzadeh 9, Taher Nemati 9, Ali Asghari 10,✉
PMCID: PMC8800356  PMID: 35093180

Abstract

Background

Urinary schistosomiasis is a serious threat in endemic territories of Africa and the Middle East. The status of female urinary schistosomiasis (FUS) in published literature between 2016 and 2020 was investigated.

Methods

A systematic search in PubMed, Scopus, Google Scholar, and Web of Science, based on the ‘Preferred Reporting Items for Systematic Reviews and Meta-analyses’ checklist, and a meta-analysis using random-effects model to calculate the weighted estimates and 95% confidence intervals (95% CIs) were done.

Results

Totally, 113 datasets reported data on 40,531 women from 21 African countries, showing a pooled prevalence of 17.5% (95% CI: 14.8–20.5%). Most studies (73) were performed in Nigeria, while highest prevalence was detected in Mozambique 58% (95% CI: 56.9–59.1%) (one study). By sample type and symptoms, vaginal lavage [25.0% (95% CI: 11.4–46.1%)] and hematuria 19.4% (95% CI: 12.2–29.4%) showed higher FUS frequency. Studies using direct microscopy diagnosed a 17.1% (95% CI: 14.5–20.1%) prevalence rate, higher than PCR-based studies 15.3% (95% CI: 6.1–33.2%). Except for sample type, all other variables had significant association with the overall prevalence of FUS.

Conclusions

More studies are needed to evaluate the true epidemiology of FUS throughout endemic regions.

Supplementary Information

The online version contains supplementary material available at 10.1186/s41182-022-00402-x.

Keywords: Epidemiology, Urinary schistosomiasis, Women, Meta-analysis

Background

Schistosomiasis, due to trematodes of the genus Schistosoma (blood flukes), is a snail-transmitted helminthiasis and the third most degenerative tropical disease with substantial morbidity/mortality rates, particularly in low- and middle-income countries [1]. With about 800 million at-risk individuals, schistosomiasis afflicts over 250 million people in tropical and subtropical territories and renders approximately 70 million disability-adjusted life years [1–3]. In endemic areas such as sub-Saharan Africa morbidity is higher among school-aged children (60–80%) than adults (20–40%), with a mortality rate of 280,000 people [4]. Six species out of 24 recognized schistosomes result in disease in humans, comprising Schistosoma haematobium (S. haematobium) the causative agent of urogenital schistosomiasis (UGS), S. japonicum, S. mansoni, S. intercalatum, S. mekongi and S. guineensis as agents of hepato-intestinal disease [5]. In a public health perspective, Africa and the Mideast (S. mansoni and S. haematobium), Southeast Asia (S. japonicum) and Latin America (S. mansoni) are considered as the most distinguished geographical hotspots for schistosomiasis [6]. Adult paired worms would stay alive in host’s blood stream for about 3–10 years and produce numerous spiny eggs, rendering chronicity and pathologic outcomes of the infection [7–9].

The putative signs and symptoms of UGS were initially ascribed about 1900 Before the Common Era (BCE), when hematuria was a common finding in Egyptian males, referred to as “menstruation” [10]. Infected planorbid snails, Bulinus spp., are intermediate hosts releasing motile furcocercous cercariae in surrounding water supplies. Following skin cercarial invasion and migration thorough lungs and liver, S. haematobium worms would finally lodge in the genitourinary venous complex, in particular bladder veins, where they mature and copulate therein [11]. Although harsh disease outcomes primarily arise from the T-cell mediated, granulomatous immune responses against tissue-deposited spiny eggs of schistosomes. Such lesions would represent manifestations comprising hematuria, dysuria, itching, pelvic pain, as well as the life-threatening squamous cell carcinoma of the urinary bladder [12, 13]. Additionally, S. haematobium is responsible of egg-induced pathological lesions and associated symptoms in both men and women [14, 15].

An active UGS could be detected through observation of eggs in urine sediments and/or tissue biopsies [16]. For the aim of determining hotspots and control strategies, World Health Organization (WHO) has recommended microscopic-based poly-carbonate filter examination for urinary eggs as well as dipstick assays for urinary heme detection [17, 18]. Serodiagnostic assays identifying antibodies against worm antigens may demonstrate valuable credibility in symptomatic travelers, whereas they usually fail to differentiate active or previous infections, unless those employing circulating antigens [19, 20]. An encouraging degree of sensitivity and specificity have been gained in utilization of molecular assays such as polymerase chain reaction (PCR) for schistosome detection in human serum and urine samples [21]. This method is, also, beneficial for vaginal lavage analysis, revealing the likely traits of the genital schistosomiasis [22].

A very large number of female urinary schistosomiasis (FUS) studies were performed during the last two decades [23]. The emphasis of the present systematic review and meta-analysis was on the published literature during the last 5 years (2016–2020), in order to define the latest status of FUS and its prevalence based on examined subgroups. The novel findings of the present study may alert clinicians to the prevalence of this important helminthiasis and its associated consequences on the genitourinary system of infected female individuals.

Methods

The present systematic review and meta-analysis was accomplished on the basis of Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement [24] (Additional file 1).

Information sources and systematic searching

Major English databases including Scopus, PubMed, Web of Science and Google Scholar were systematically searched for articles evaluating the prevalence of FUS worldwide and published during a 5-year time period, from January 2016 until the end of 2020. This procedure was conducted using the following keywords alone or in combination, using advanced search option in most databases and Medical Subject Heading (MeSH) option in PubMed databases: “Urinary Schistosomiasis” AND “Prevalence” OR “Epidemiology” AND “Female” OR “Women” Or “Girl”, where “AND” and/or “OR” are Boolean operators. Hand-searching of the bibliographic list of related papers was an additional task to more cover those papers not found via database exploration. Briefly, title and abstract of the literature were accurately reviewed (H.M. and M.F.), relevant papers were included, and upon duplicate removal, full-texts of eligible papers were retrieved (T.N.). Any disagreements were obviated by discussion and consensus with the leading researchers (M.SH and A.A.).

Inclusion/exclusion criteria and data collection

Specific inclusion criteria were determined in order to thoroughly gather relevant peer-reviewed cross-sectional studies and conference reports limited to women population in a 5-year time period (2016–2020). Only those papers with specified sample size and number of FUS-positive women, diagnosed either by microscopic, filtration, sedimentation and/or molecular techniques were included in current systematic review. Other study types (case reports, letters, reviews), studies evaluating animals or other Schistosomal infections, investigations without sample size/prevalence rates or lacking full-texts were all excluded from the present systematic review and meta-analysis. Finally, a pre-designed Microsoft Excel Spreadsheet® was used to extract the required information (E.J. and S.B.), as follows: first author’s last name, publication year, start and end years of studies, study type, country, province, city, sample type, diagnostic method, sample size, positive number of infected cases and clinical symptoms (hematuria and proteinuria).

Quality assessment

In the present systematic review, the Newcastle–Ottawa scale was employed to assess the quality of included studies. Those papers with the scores of < 3.5, 3.6–5.25, and 5.26–7 were categorized as low-, moderate-, and high-quality papers, respectively [25].

Data synthesis and meta-analysis

Meta-analytical approach was done according to previous studies (S.B. and D.A.) using a random-effects model [26–28]. For all included studies, point estimates and their respective 95% confidence intervals (CIs) of weighted prevalence were calculated. Heterogeneity among these studies or variation in study outcomes was visualized by drawing forest plots, calculated by I2 and Cochrane’s Q tests [29, 30]. The subgroup analysis was performed based on year, country, sample type, symptoms and diagnostic methods. The presence of publication bias was estimated by using Egger’s regression test [31]. This kind of bias, if present, skews the results and published reports are not a representative sample of the available evidence anymore. The trim-and-fill method was, also, used to “estimate the number of missing studies that might exist in a meta-analysis and the effect that these studies might have had on its outcome” [32]. P-values less than 0.05 were considered statistically significant. All analytical functions were applied by Comprehensive Meta-analysis (CMA) version 2.2. (Biostat Inc., USA).

Results

The flow diagram of the systematic search process and inclusion of relevant papers is shown in Fig. 1. Initially, 3537 datasets were identified through comprehensive database exploration. After removing duplicates (1821) and those with irrelevant title and abstract (1571), 145 datasets were finally assessed for eligibility. Among these, 35 datasets were excluded with reasons (review papers, theses, conference papers and studies with confusing data) and 3 additional datasets were added through manual searching. Therefore, 106 articles containing 113 datasets were finally included in our meta-analysis (Table 1) [33–139].

Fig. 1.

Fig. 1

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PRISMA flow diagram describing included/excluded studies on FUS prevalence (2016–2020)

Table 1.

Detailed characteristics of the included studies in the present systematic review and meta-analysis (2016–2020)

No. References Country Province/city Time of data collection Sample type Method Sample size Positive no Quality assessment score
1 Awosolu, 2020 [56] Nigeria Osun and Kwara 2012 Urine Filtrations and microscopic examination 258 122 5
2 Olayinka, 2020 [112] Nigeria Ogun 2015–2017 Urine Microscopic examination 280 42 6
3 Awosolu, 2019 [55] Nigeria Ikota 2015 Urine Microscopic examination 74 20 7
4 Otuneme, 2019 [118] Nigeria Ogun 2017 Urine Microscopic examination 47 39 5
5 Muhammad, 2019 [101] Nigeria Sokoto NR Urine Microscopic examination 107 47 5
6 Sule, 2019 [129] Nigeria Kano NR Urine Microscopic examination 56 0 6
7 Idris, 2019 [87] Nigeria New-Bussa NR Urine Microscopic examination 24 2 7
8 Geraji, 2019 [81] Nigeria Jalingo 2019 Urine Microscopic examination 86 13 7
9 Adamu, 2019 [36] Nigeria Kaduna 2017 Urine Microscopic examination 136 4 7
10 Ngwamah, 2019 [105] Nigeria Adamawa NR Urine Microscopic examination 679 141 7
11 Aribodor, 2019 [51] Nigeria Enugu 2016 Urine Microscopic examination 121 17 7
12 Sobande, 2019 [128] Nigeria Ogun NR Urine Microscopic examination 84 40 6
13 Obisike, 2019 [110] Nigeria Benue 2017 Urine Membrane filtration and (sedimentation) microscopic examination 84 20 5
14 Ahmed, 2019 [40] Nigeria Katsina NR Urine (sedimentation) Microscopic examination 68 15 6
15 Aderibigbe, 2019 [37] Nigeria Kwara NR Urine Microscopic examination 883 293 7
16 Noriode, 2018 [106] Nigeria Edo NR Urine Microscopic examination 109 75 5
17 Bishop, 2016 [164] Nigeria Kaduna NR Urine Microscopic examination 92 5 6
18 Mohammed, 2018 [95] Nigeria Sokoto 2016 Urine Microscopic examination 51 18 5
19 Akinneye, 2018 [43] Nigeria Ondo NR Urine Microscopic examination 202 22 5
20 Alabi, 2018 [46] Nigeria Ogun NR Urine Microscopic examination 73 36 6
21 Damen, 2018 [68] Nigeria Plateau NR Urine Microscopic examination 7 1 6
22 Yauba, 2018 [138] Nigeria Maiduguri 2014–2015 Urine Microscopic examination 180 113 7
23 Abdulkareem, 2018 [34] Nigeria Kwara NR Urine Microscopic examination 309 131 7
24 Oladeinde, 2018 [111] Nigeria Edo 2014 Urine Microscopic examination 98 8 6
25 Ebong, 2018 [70] Nigeria Akwa Ibom NR Urine Microscopic examination 199 5 7
26 Akeju Adebayo, 2018 [42] Nigeria Ondo NR Urine Microscopic examination 1022 441 5
27 Oluwole, 2018 [114] Nigeria Ogun 2013 Urine Microscopic examination 1034 43 6
28 Adewale, 2018 [38] Nigeria Ondo NR Urine Microscopic examination 190 44 6
29 Nwachukwu, 2018 [107] Nigeria Imo 2014–2016 Urine Test strip and filtration 1125 57 7
30 Nwachukwu, 2018 [108] Nigeria Ebonyi 2016–2017 Urine Microscopic examination 254 8 7
31 Duwa, 2018 [69] Nigeria Kano 2018 Urine Microscopic examination 105 8 5
32 Babagana, 2018 [57] Nigeria Borno NR Urine Microscopic examination 180 31 7
33 Mohammed, 2018 [94] Nigeria Kebbi 2016 Urine (Filtration) Microscopic examination 81 16 5
34 Oluwole, 2018 [114] Nigeria Ogun NR Urine and vainal lavage Microscopic and gynecologic examination 317 149 6
35 Kenneth, 2017 [92] Nigeria Edo NR Urine Microscopic examination 76 6 7
36 Birma, 2017 [61] Nigeria Adamawa NR Urine Microscopic examination 90 42 5
37 Amoo, 2017 [47] Nigeria Ogun NR Urine Microscopic examination 160 61 6
38 Paul, 2017 [119] Nigeria Cross River NR Urine Microscopic examination 140 24 5
39 Orpin, 2017 [116] Nigeria Katsina NR Urine Microscopic examination 145 12 5
40 Ekanem, 2017 [71] Nigeria South-South 2011 Urine Microscopic examination 177 27 6
41 Akpan, 2017 [45] Nigeria Cross River NR Urine Microscopic examination 208 34 7
42 Elom, 2017 [73] Nigeria Ebonyi NR Urine Microscopic examination 147 33 7
43 Akpan, 2017 [44] Nigeria Cross River NR Urine Microscopic examination 122 1 7
44 Abubakar, 2017 [35] Nigeria Jigawa 2015 Urine Microscopic examination 65 46 7
45 Dalhat, 2017 [67] Nigeria Sokoto NR Urine Microscopic examination 140 41 7
46 Emmanuel, 2017 [75] Nigeria Benue 2014 Urine Microscopic examination 207 77 6
47 Wokem, 2017 [135] Nigeria Abia NR Urine Microscopic examination 570 215 7
48 Anorue, 2017 [49] Nigeria Ebonyi 2002–2003 Urine Microscopic examination 1367 640 6
49 Orpin, 2016 [117] Nigeria Benue NR Urine Microscopic examination 104 8 7
50 Onile, 2016 [115] Nigeria Eggua 2012–2013 Urine Microscopic examination 178 45 7
51 Houmsou, 2016 [86] Nigeria Taraba NR Urine Microscopic examination 529 231 5
52 Goodhead, 2016 [83] Nigeria River NR Urine Microscopic examination 76 17 7
53 Usman, 2016 [133] Nigeria Bauchi NR Urine Microscopic examination 300 58 7
54 Dahesh, 2016 [66] Nigeria Giza 2016 Urine Microscopic examination 582 12 7
55 Igbeneghu, 2016 [88] Nigeria Osun 2016 Urine Microscopic examination 154 60 7
56 Nafiu, 2016 [104] Nigeria Niger 2016 Urine Microscopic examination 97 9 6
57 Abah, 2016 [33] Nigeria River 2016 Urine Microscopic examination 184 23 5
58 Umar, 2016 [132] Nigeria Kano NR Urine Microscopic examination 20 9 5
59 Atalabi, 2016 [52] Nigeria Katsina NR Urine Microscopic examination 240 14 6
60 Houmsou, 2016 [86] Nigeria Taraba NR Urine Microscopic examination 510 3 7
61 Nwibari, 2016 [165] Nigeria Plateau NR Urine Microscopic examination 134 6 5
62 Omoruyi, 2016 [166] Nigeria Edo NR Urine Microscopic examination 77 4 6
63 Morenikeji, 2016 [99] Nigeria Ogun NR Urine Microscopic examination 79 60 6
64 Bashir, 2016 [60] Nigeria Jigawa NR Urine Microscopic examination 31 2 7
65 Ganau, 2016 [79] Nigeria Sokoto NR Urine Microscopic examination 58 24 5
66 Musa, 2016 [102] Nigeria Kaduna NR Urine Microscopic examination 131 13 6
67 Ajakaye, 2016 [41] Nigeria Ondo NR Urine Microscopic examination 404 50 7
68 Mong, 2016 [98] Nigeria Abia NR Urine Microscopic examination 129 13 7
69 Atalabi, 2016 [53] Nigeria Katsina 2015 Urine Microscopic examination 317 23 6
70 Oluwatoyin, 2016 [113]* Nigeria Ibadan NR Urine Microscopic examination 507 1 7
71 Oluwatoyin, 2016 [113] Nigeria Ibadan NR Urine Microscopic examination 507 28 6
72 Bishop, 2016 [63] Nigeria Kaduna NR Urine Microscopic examination 251 39 5
73 Maki, 2020 [93] Sudan Darfur 2018 Urine Microscopic examination 55 39 6
74 Qutoof, 2019 [122] Sudan Khartoum NR Urine Microscopic examination 589 2 5
75 Elsiddig, 2019 [74] Sudan White Nile 2011 Urine Microscopic examination 162 67 6
76 Hajissa, 2018 [85] Sudan Khartoum 2017–2018 Urine Microscopic examination 95 11 6
77 Mohammed, 2018 [96] Sudan White Nile NR Urine Microscopic examination 175 97 7
78 Talab, 2018 [167] Sudan White Nile 2014 Urine (Filtration) Microscopic examination 174 97 5
79 Sulieman, 2017 [130] Sudan River Nile 2016 Urine (Sedimentation) Microscopic examination 191 1 6
80 Sabah Alzain Mohamed, 2017 [124] Sudan El khiar 2016 Urine Microscopic examination 76 7 5
81 Afifi, 2016 [39] Sudan Kassala 2013 Urine Microscopic examination 1238 172 6
82 Elhusein, 2016 [72] Sudan Gezira 2016 Urine Microscopic examination 29 0 7
83 Shukla, 2019 [126] South Africa KwaZulu-Natal 2011–2013 Urine and cervico-vaginal lavage Microscopic examination 933 256 5
84 Galappaththi-Arachchige, 2018 [78] South Africa KwaZulu-Natal NR Urine Microscopic examination 1123 292 5
85 Kabuyaya, 2017 [89] South Africa uMkhanyakude 2015 Urine Microscopic examination 199 73 7
86 Galappaththi-Arachchige, 2016[168] south Africa KwaZulu-Natal NR Urine Microscopic examination 883 270 6
87 Pillay, 2016 [169] South Africa KwaZulu-Natal 2010–2012 vaginal lavages and Urine PCR 394 38 7
88 South Africa KwaZulu-Natal 2010–2012 Urine PCR 394 91 7
89 South Africa KwaZulu-Natal 2010–2012 Urine Microscopic examination 394 78 7
90 Fokuo, 2020 [76] Ghana Asutsuare 2014 Urine Microscopic examination 59 8 6
91 Arhin-Wiredu, 2019 [50] Ghana Akyemansa 2014 Urine Microscopic examination 161 10 6
92 Nyarko, 2018 [109] Ghana different municipal-ities 2016 Urine Microscopic examination 173 7 6
93 Boye, 2016 [65] Ghana Apewosika and Putubiw 2013 Urine Microscopic examination 114 16 5
94 Wilkinson, 2018 [134] Malawi Lilongwe 2013 Urine Microscopic examination 96 2 6
95 Kayuni, 2017 [91] Malawi Mangochi 2012 Urine Microscopic examination 226 29 6
96 Moyo, 2016 [100] Malawi Nkhotakota NR Urine Microscopic examination 51 6 6
97 Yameny, 2018 [137] Egypt El-Fayoum NR Urine Microscopic examination 487 33 7
98 Ghieth, 2017 [82] Egypt Beni Suef NR Urine Microscopic examination 220 0 5
99 Kaiglova, 2020 [90] Kenya Kwale 2018 Urine Microscopic examination 323 47 5
100 Mutsaka-Makuvaza, 2019 [103] Zimbabwe Mashonaland 2010 Urine Microscopic examination 569 96 6
101 Woldegerima, 2019 [136] Ethiopia Sanja 2017–2018 Urine Microscopic examination 189 53 7
102 Phillips, 2018 [120] Mozambique Cabo Delgado 2011 Urine Microscopic examination 7538 4372 7
103 Gbalegba, 2017 [80] Mauritania Kaedi 2014–2015 Urine Microscopic examination 1064 54 6
104 Simoonga, 2017 [127] Zambia Lusaka NR Urine Microscopic examination 954 83 7
105 Balahbib, 2017 [58] Morocco Tata 2015 Urine Microscopic examination 13 0 6
106 Anchang-Kimbi, 2017 [48] Cameroon Mount Cameroon 2014 Urine Microscopic examination 250 117 7
107 Mombo-Ngoma, 2017 [97] Gabon Lambarene 2009–2013 Urine Microscopic examination 1115 103 7
108 Greter, 2016 [84] Chad Chad NR Urine (Filtration) Microscopic examination 96 1 7
109 Botelho, 2016 [64] Guinea-Bissau Guinea-Bissau NR Urine Microscopic examination 43 8 6
111 Senghor, 2016 [125] Senegal Niakhar 2011–2014 Urine Microscopic examination 320 149 5
111 Rasomanamihaja, 2016 [123] Madagascar Madagascar 2015 Urine Microscopic examination 1043 325 5
112 Bangura, 2016 [59] Sierra Leon Korwama and Lewabu 2015 Urine Microscopic examination 86 32 7
113 Zida, 2016 [139] Burkina Faso Bazega 2013 Urine Microscopic examination 151 7 7
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*In this dataset, S. mansoni was found in urine instead of S. haematobium

Finally, 113 datasets evaluating 40,531 individuals were included in the present review. Among these, 11,308 individuals were shown to be affected by FUS and based on the random-effects model meta-analysis, the pooled prevalence of FUS was 17.5% (95% CI: 14.8–20.5%). The included studies demonstrated a strong heterogeneity (I2 = 98.12%, P < 0.01) (Additional file 2). Publication bias was checked by Egger’s regression test, showed that it may have a substantial impact on total prevalence estimate (Egger’s bias: 7.5, P < 0.01) (Fig. 2). Since the heterogeneity of included studies was very high, meta-regression of subgroups such as year, country, type of sample, type of symptoms, and diagnostic method were used to overcome heterogeneity (Table 2). According to subgroup analysis of included data, the prevalence of FUS demonstrated a relatively but worrying increasing trend from 14.6% (95% CI: 11.3–18.6%) in 2016 to 28.6% (95% CI: 13.1–51.6%) in 2020, respectively. In total, studies were conducted in 21 countries, including Nigeria (73 datasets), Sudan (10 datasets), South Africa (7 datasets), Ghana (4 datasets), Malawi (3 datasets), Egypt (2 datasets), as well as Kenya, Zimbabwe, Ethiopia, Mozambique, Mauritania, Zambia, Morocco, Cameroon, Gabon, Chad, Guinea-Bissau, Senegal, Madagascar, Sierra Leone and Burkina Faso (one dataset per country). The highest prevalence rates were estimated for women in Mozambique with 58% (95% CI: 56.9–59.1%) (one study), while female individuals in Chad had the lowest prevalence rate 1.0% (95% CI: 0.1–7.0%). Year-based prevalence for the six most studied countries, showed no determined pattern for frequency of FUS, however, a relatively decreasing pattern of prevalence was recorded for Malawi (three studies) (Figs. 3, 4, 5, 6, 7, 8). Regarding sample type, urine and vaginal lavage were gathered from examined women, with vaginal lavage demonstrating a higher frequency of FUS [25.0% (95% CI: 11.4–46.1%)] than urine specimen [17.2% (95% CI: 14.5–20.3%)]. Reportedly, hematuria and proteinuria as the most prominent symptoms of FUS were estimated in some studies, showing 19.4% (95% CI: 12.2–29.4%) and 13.6% (95% CI: 6.69–24.8%) prevalence rates, correspondingly. Direct microscopy was the most frequently utilized diagnostic test, yielding a relatively higher prevalence 17.1% (95% CI: 14.5–20.1%) than PCR method 15.3% (95% CI: 6.1–33.2%); however, only two studies employed molecular method. Additional microscopy-based procedures were filtration and sedimentation, which in detail yielded a prevalence rate of 18.2% (95% CI: 5.9–43.9%) and 11.4% (95% CI: 3.6–30.9%), respectively. Altogether, subgroup analysis revealed that there were statistically significant differences between the overall prevalence of FUS and year. Of note, the quality score of the included papers is provided in Additional file 3.

Fig. 2.

Fig. 2

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A bias assessment plot from Egger for the FUS prevalence (2016–2020)

Table 2.

Subgroup analysis of FUS prevalence according to year, country, type of sample, type of symptoms and diagnostic methods

Subgroup variable Prevalence % (95% CI) I2 (%) Heterogeneity (Q) P-value Interaction test (X2) P-value
Year
 2016 14.6 (11.3–18.6) 96.3% 1034.7 < 0.01 375.3 < 0.01
 2017 17.5 (12–24.9) 97.8% 1055.2 < 0.01
 2018 19.0 (13.1–26.7) 98.8% 2179.6 < 0.01
 2019 21.7 (16.8–27.5) 93.4% 274.7 < 0.01
 2020 28.6 (13.1–51.6) 97.1% 138.2 < 0.01
Country
 Ghana 9.1 (6.8–12.2) 73.46% 11.31  < 0.01
 Malawi 11.4 (0.8–15.4) 70.62% 6.81  < 0.01
 Nigeria 21.1 (17.6–25.0) 96.9% 2337.91  < 0.01
 South Africa 27.4 (25.6–29.2) 92.53% 80.36 < 0.01
 Sudan 55.8 (43.9–67.1) 97.59% 374.17 < 0.01 430.6  < 0.01
 Egypt 1.7 (0.1–32.8) 83.57 5.90 < 0.01
Type of sample
 Urine 17.2 (14.5–20.3) 98.11% 5949.4 < 0.01 1285.2  > 0.05
 Vaginal lavage 25.0 (11.4–46.1) 98.2% 110.40 < 0.01
Type of symptoms
 Hematuria 19.4 (12.2–29.4) 92.33% 52.19  < 0.01 82.4  < 0.01
 Proteinuria 13.6 (6.69–24.8) – 0.00 = 1.00
Diagnostic method
 Direct microscopy 17.1 (14.5–20.1) 98.1% 6013 < 0.01 350.6 < 0.01
 Filtration and microscopy 18.2 (5.9–43.9) 99.1% 563.1 < 0.01
 PCR 15.3 (6.1–33.2) 95.9% 24.64 < 0.01
 Sedimentation and microscopy 11.4 (3.6–30.9) 96.6% 59.5 < 0.01
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Fig. 3.

Fig. 3

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Forest plot of year-based prevalence in Nigeria (2016–2020)

Fig. 4.

Fig. 4

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Forest plot of year-based prevalence in Sudan (2016–2020)

Fig. 5.

Fig. 5

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Forest plot of year-based prevalence in South Africa (2016–2020)

Fig. 6.

Fig. 6

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Forest plot of year-based prevalence in Ghana (2016–2020)

Fig. 7.

Fig. 7

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Forest plot of year-based prevalence in Malawi (2016–2020)

Fig. 8.

Fig. 8

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Forest plot of year-based prevalence in Egypt (2016–2020)

Discussion

Helminth-induced diseases are ancient catastrophic phenomena in humans, some dating back to pre-biblical era, with huge but chronic and snaky damages in nature [140]. Schistosomiasis or bilharziasis is one of the most important water-borne helminthic diseases, which have always been interconnected with archaic civilizations over the millennia, and it is still a global public health concern due to its astonishing, complex life cycle [141, 142]. Among schistosome species infecting humans, S. haematobium worms are the causative agents of UGS which localize within draining venous complex of the pelvic organs such as uterus, cervix and the bladder [143]. These worms are highly prolific, releasing about 3000 eggs/day, half of which are excreted through urine, while the rest are lodged within vasculature of urogenital organs. Immune-mediated pathologic processes elicited against tissue-embedded ova result in granulomatous inflammation, tissue destruction and the so-called “sandy patches” as fibrotic nodules [16]. With respect to the significance of UGS and large number of affected individuals, the present systematic review and meta-analysis was contrived in order to reveal the latest status of urinary schistosomiasis in women population based on published literature in the last 5 years and provide a premise for future clinical directions on women health.

The required information was assembled from available full-texts published between 2016 and 2020 and their overall estimates were assessed through a meticulous meta-analytical method. During last 5 years, 11,308 out of 40,531 women were suffering from urinary schistosomiasis, contributing to the global weighted prevalence of 17.5% (95% CI: 14.8–20.5%). Interestingly, all cases in the last 5 years were from African countries. This continent is probably known as the “cradle of schistosomes”, since African great lakes provide a favorable milieu for the optimum evolution of both parasites and their respective intermediate hosts [144]. Schistosomiasis may have spread to Africa, particularly Egypt, in virtue of monkey importation and slave trades during fifth dynasty of pharaohs [145]. Based on our results obtained from limited number of heterogeneous investigations included in the present meta-analysis, a large number of studies (73) on FUS were done in a western African nation, Nigeria, whereas the highest prevalence rate was estimated for women in Mozambique with 58% (95% CI: 56.9–59.1%) (one study), a country in the southeast coast of Africa. Nigerian researchers have shown a substantial effort in search of urinary schistosomiasis during last 5 years by conducting 73 datasets, which could be a favorable layout for other African countries [143]. Nevertheless, the true picture of FUS prevalence throughout African territories in a 5-year time period was not accurately captured, since out of 21 countries examining female individuals, only 6 countries had sufficient studies to perform meta-analytical approach and most of the remaining had only one investigation per country. Moreover, a statistically significant gradual increase was observed in FUS prevalence based on publication year of the included literature, from 2016 until the end of 2020, ranging from 14.6% (95% CI: 11.3–18.6%) to 28.6% (95% CI: 13.1–51.6%), respectively. However, no such an increasing trend was observed in year-based analysis of each country; even the prevalence relatively decreased in Malawi, though only three studies were involved in this country. Such findings derived from limited number of included studies in current review may be interpreted as a spread of the endemic situation of FUS, or as a result of the increased understanding about FUS among health care professionals in each country. Nevertheless, more in-depth studies are required to further elucidate this issue.

The characteristic symptoms of UGS were prominently reported among examined women, so that a higher prevalence rate was recorded for hematuria with 19.4% (95% CI: 12.2–29.4%), in comparison to 13.6% (95% CI: 6.69–24.8%) frequency of proteinuria. As previously mentioned, disease morbidity largely results from entrapped eggs, which strongly induce a granulomatous immune response [146], characterized by Th2-type lymphocytes, alternatively activated macrophages and eosinophils [147, 148]. Thereby, the eggs are immunologically confined within the so-called “granulomas”, containing proteolytic enzymes of egg origin that barricade tissue necrosis [149]. In accordance with our finding, hematuria is considered as a defining symptom in S. haematobium infection, mostly being accompanied by suprapubic ailment, burning micturition as well as frequent urination [150]. Poor immunoregulatory mechanisms in response to eggs provoke a lasting fibrotic reaction in the urinary tract of infected individuals [151]. The resulting obstructive uropathy elicit subsequent dreadful consequences such as the hydroureter and hydronephrosis [152]. The latter is the milestone in ascending bacterial superinfections, renal dysfunctions and the ensuing proteinuria [153]. The consequences are more horrific in affected women, since the proximity of vesical and genital venous plexuses facilitates easy migration of parasites and/or eggs, leading to harsh outcomes regarding women’s reproductive health [154–156]. The subsequent lesions in genital organs, from ovaries to vagina, may be associated with pain and stress, allowing human immunodeficiency virus-1 (HIV-1) to simply access sub-epithelial target cells [157]. In a recently published meta-analysis, the chance of acquiring HIV among people suffering from schistosomiasis was 2.3-fold (95% CI: 1.2–4.3%) higher than non-infected patients [158]. Finally, the affected women might experience painful intercourse (dyspareunia), fibrotic ovaries and/or granuloma-induced tubal blockage, all of which lead to the female infertility. Hence, FUS may lead to harsh reproductive outcomes that ultimately endangers the fecundity, fertility and pregnancy of women [159].

The result of the present meta-analysis highlighted that a higher prevalence of FUS was demonstrated by vaginal lavage [25.0% (95% CI: 11.4–46.1%)] than urine specimens [17.2% (95% CI: 14.5–20.3%)]. Although there was not statistically significant difference between the total prevalence of FUS and sample type (P > 0.05). Moreover, the results of current review demonstrated that microscopy 17.1% (95% CI: 14.5–20.1%) contributed more to reveal the FUS prevalence than PCR method 15.3% (95% CI: 6.1–33.2%); nevertheless, only two studies utilized molecular method for diagnosis, and any deductions should accompany with caution. Notably, urine filtration (about 10 mL) that is routinely performed for egg detection was more efficient in detecting parasite eggs than sedimentation method, with 18.2% (95% CI: 5.9–43.9%) versus 11.4% (95% CI: 3.6–30.9%), respectively. Urine microscopy is the gold standard in detection of S. haematobium eggs in areas of endemicity [160]. However, it is not sensitive sufficiently for monitoring praziquantel therapeutic efficiency in mass drug administration (MDA) campaigns, particularly in low-transmission intensity areas, because weeks after adult worm elimination eggs are still observable in urine or some worms may have temporarily stopped shedding eggs [161]. Also, it lacks adequate sensitivity, due to the fact that eggs are only detectable in urine samples 2 months after infection onwards [162]. Therefore, it is highly recommended to carry out at least two follow-up visits and microscopic examination for more accurate diagnosis [163]. Additionally, in order to enhance the sensitivity and specificity and deter underestimation of the true disease burden, performing highly sensitive methods such as molecular techniques are inevitable [21]. As mentioned earlier, only two studies in the last 5 years used PCR method, which exhibited a remarkable prevalence rate for FUS, implicating the importance of such modalities in accurate detection of urinary schistosomiasis.

The present systematic review and meta-analysis met some limitations, including: (1) lack of adequate prevalence studies in countries other than Nigeria; (2) diagnosis of the infection mostly based on microscopic examination of urine samples; (3) inadequate number of molecular-based studies in the last 5 years, and (4) due to the nature of the systematic review and meta-analysis studies, which exclude some papers relied on a designed inclusion criteria, the provided results are only based on the information extracted from 113 datasets and any definite inference must accompany with caution. Inevitably, implementation of large-scale or nation-wide prevalence studies on FUS throughout African nations, particularly in neglected regions of the continent, using microscopy of urine specimen (gold standard method) coupled with unprecedented molecular approaches will more elucidate the true epidemiological picture of urinary schistosomiasis among women population. Consequently, such information benefits the clinicians for the prevention of the horrible sequelae of chronic FUS.

Conclusion

In conclusion, information provided in the present systematic review and meta-analysis showed that women in endemic territories in Africa are moderately at risk of acquiring FUS and its harsh consequences, including renal dysfunction, urinary bladder carcinoma as well as reproductive disorders such as dyspareunia and granuloma-induced infertility. Consequently, health assessment of FUS should be considered as a routine necessity for women in susceptible age groups such as those in active reproductive status and/or child-bearing age. Relying only on low-sensitivity microscopic results cannot rule out the presence of schistosomes in blood vessels. Hence, clinical assessment must be performed using gold standard methods, i.e., microscopic examination of urine samples, combined with highly sensitive and specific molecular approaches. Altogether, our goal on better control and prevention of urinary schistosomiasis may not be achievable, unless by a global collaboration to accurately reveal the parasite epidemiology in endemic territories.

Supplementary Information

41182_2022_402_MOESM1_ESM.doc (64KB, doc)

Additional file 1. PRISMA checklist employed for the present systematic review.

41182_2022_402_MOESM2_ESM.docx (18.7KB, docx)

Additional file 2. Forest plot of the FUS prevalence obtained from published literature during 2016–2020.

41182_2022_402_MOESM3_ESM.docx (19.8KB, docx)

Additional file 3. Quality assessment analysis of the included papers using Newcastle–Ottawa scale.

Acknowledgements

Not applicable.

Abbreviations

UGS

Urogenital schistosomiasis

BCE

Before common era

WHO

World Health Organization

PCR

Polymerase chain reaction

FUS

Female urinary schistosomiasis

PRISMA

Preferred Reporting Items for Systematic Reviews and Meta-analyses

MeSH

Medical subject heading

CI

Confidence interval

CMA

Comprehensive meta-analysis

HIV-1

Human immunodeficiency virus-1

MDA

Mass drug administration

Authors’ contributions

MS, SK and AA conceived the study protocol; SK, HM and SB performed the systematic search; EJ and SB extracted the required information from included papers; SB, EJ and DA performed the meta-analytical approach; NN, MF, EG and TN wrote the manuscript draft; MS and AA critically revised the manuscript. All authors have read and approved the manuscript.

Funding

The authors did not receive support from any organization for the submitted work.

Availability of data and materials

The dataset(s) supporting the conclusions of this article is(are) included within the article (and its additional files).

Declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

41182_2022_402_MOESM1_ESM.doc (64KB, doc)

Additional file 1. PRISMA checklist employed for the present systematic review.

41182_2022_402_MOESM2_ESM.docx (18.7KB, docx)

Additional file 2. Forest plot of the FUS prevalence obtained from published literature during 2016–2020.

41182_2022_402_MOESM3_ESM.docx (19.8KB, docx)

Additional file 3. Quality assessment analysis of the included papers using Newcastle–Ottawa scale.

Data Availability Statement

The dataset(s) supporting the conclusions of this article is(are) included within the article (and its additional files).

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