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Record W4407793412 · doi:10.70955/jcj.2025.1

Current Perspectives on Cystic Echinococcosis: A Systematic Review

2025· review· en· W4407793412 on OpenAlexaboutno aff
Hawkar A. Nasralla, Berun A. Abdalla, Hiwa O. Abdullah, Sasan M. Ahmed, Fahmi H. Kakamad, Shvan H. Mohammed, Rawezh Salih, Dahat A. Hussein, Tomas M. Mikael, Marwan Hassan, Hunar A. Hassan, Suhaib H. Kakamad, Kayhan A. Najar, Karukh K. Mohammed, Diyar Omar, Shadi H. Sidiq, Fakher Abdullah, Yousif M. Mahmood

Bibliographic record

VenueJudi Clinical Journal · 2025
Typereview
Languageen
FieldMedicine
TopicParasitic infections in humans and animals
Canadian institutionsnot available
Fundersnot available
KeywordsCystic echinococcosisCurrent (fluid)EchinococcosisMedicineIntensive care medicinePathologyGeologyOceanography

Abstract

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Abstract Introduction: Hydatidosis, a zoonotic disease caused by the larval stage of Echinococcus granulosus, is a significant public health concern with notable economic impact. It leads to morbidity and mortality worldwide, particularly in endemic regions. This study systematically reviews recent literature on cystic echinococcosis (CE) to provide updated insights into its prevalence, impact, and management.Methods: A systematic review was conducted using PubMed to find original articles on hydatid cysts published betweenSeptember 1, 2019, and September 1, 2024. Data extracted included the first author's name, country, publication year, study type, number of cases, clinical presentation, diagnostic methods, cyst location and quantity, cyst status, treatment type and medications, follow-up details, recurrence, and mortality rates. Data were organized and qualitatively analyzed.Results: A total of 398 articles were identified, of which 229 articles with 1,002 patients met the inclusion criteria. Spain reported the highest number of CE cases at 362 (36.13%). Asia accounted for 487 cases (48.60%), and Europe contributed 460 cases (45.91%). The liver was the most frequently affected organ, accounting for 731 cases (72.95%), followed by the lungs with 110 cases (10.98%), and the kidney with 43 cases (4.29%). The age distribution of the cases showed that 63 (6.29%) were aged between 3 and 18 years.Conclusion: Hydatidosis remains a significant global public health concern, impacting developing and developed countries. The liver and lungs remain the primary sites of infection. Preventive strategies, including regular animal screening and enhanced public health education, are essential for controlling the spread of the disease. Introduction Cystic echinococcosis (CE), also known as hydatid disease (HD) or hydatidosis, is a well-known zoonotic disease caused by the larval stage of the tapeworm Echinococcus granulosus. Humans usually act as intermediate hosts, contracting the infection through direct contact with primary hosts like sheep, goats, cattle, dogs, and other canines or consuming food and water contaminated with the parasite's eggs [1, 2]. To date, HD is a serious public health problem that carries considerable economic implications. It leads to morbidity and mortality in various regions, notably in Mediterranean countries, the Middle East, New Zealand, Australia, India, and South America, mainly due to the close connections between sheep, dogs, and humans. It remains a neglected disease in many regions, necessitating concerted efforts for prevention and control, especially in rural areas where it is more prevalent [3, 4]. Hydatidosis can affect nearly any part of the body, but the liver is the organ most frequently impacted (75%), followed by the lungs (15%) and other organs like the brain (2%) and spine (1%) [3]. Hydatidosis is marked by a prolonged asymptomatic incubation period, often lasting several years. Clinical symptoms appear when the cysts grow large enough to compress nearby tissues. Additionally, cyst rupture into the peritoneal cavity can result in secondary cyst formation and the development of daughter cysts within them [3, 4]. This study systematically reviews recent literature on CE to provide updated insights into its prevalence, impact, and management. Methods Study design This systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Data sources and search strategy A systematic review was performed using PubMed to identify original articles on hydatid cysts. The search strategy targeted recent, peer-reviewed clinical studies on echinococcosis in human populations, published from September 1, 2019, to September 1, 2024, and restricted to English-language research. The search was limited to the literature of the last five years to shed light on the current disease situation. Eligibility criteria This systematic review included only original studies and case reports. Exclusion criteria were as follows: 1) articles not in English, 2) abstract only, 3) studies on alveolar echinococcosis, 4) studies unrelated to humans, 5) inadequately peer-reviewed articles, and 6) any study types that did not meet the inclusion criteria. All references in this study were evaluated for eligibility [5]. Study selection and data extraction The titles and abstracts of the selected studies were initially screened, followed by an in-depth full-text review to assess eligibility. Data extracted from each included study encompassed the first author’s name, country of origin, publication year, study type, number of cases, clinical presentation, diagnostic approaches, hydatid cyst location, cyst quantity, cyst status (intact or ruptured), treatment type, medications used, follow-up details, recurrence rate, and mortality rate. Statistical analyses Data were organized in an Excel spreadsheet (Microsoft Excel, 2021) and qualitatively analyzed using the Statistical Package for the Social Sciences (SPSS, version 27.0). Key findings were summarized as median, range, frequencies, and percentages. Results A total of 398 articles were identified through the search. After an initial review, 11 articles were excluded due to duplication and non-English language. The remaining 387 articles underwent title and abstract screening, during which 64 articles were excluded for not meeting the inclusion criteria. Consequently, 323 articles proceeded to full-text screening, and 93 were excluded due to unretrievable data, editorials, letters, or incomplete information. The remaining articles were then assessed for eligibility, resulting in 229 articles [1, 3, 4, 6-231] with 1,002 patients meeting the inclusion criteria and included in the study [Fig. 1]. Among the included studies, 217 (94.76%) were case reports, seven (3.06%) were cohort studies, three (1.31%) were case series, one (0.44%) was a cross-sectional study, and one (0.44%) was a randomized controlled trial (Table 1). Among the countries, Spain recorded the highest number of cases with 362 (36.13%), followed by China with 270 cases (26.95%) and Turkey with 128 cases (12.77%), collectively accounting for approximately 75% of the total reported cases (Table 2). In terms of continental distribution, Asia recorded 487 cases (48.60%), while Europe was not far behind with 460 cases (45.91%) (Table 3). Table 1. The details of the included studies First Author, Year Study design Country No. of cases First Author, Year Study design Country No. of cases First Author, Year Study design Country No. of cases AlRashed, 2024 [1] A Saudi Arabia 1 Mutlu, 2022 [82] A Turkey 1 Gatt, 2020 [157] A Israel 1 Amer, 2024 [6] A Iran 1 Ozgokce, 2022 [83] A Turkey 1 Giri, 2020 [158] A Bhutan 1 Babiker, 2024 [7] A Qatar 1 Passarelli, 2022 [84] A US 1 Gopivallabha, 2020 [159] A India 1 Bazzi, 2024 [8] A Lebanon 1 Pulavarty, 2022 [85] A India 1 Delgado, 2020 [160] A Spain 1 Brezeanu, 2024 [9] A Romania 1 Rodríguez-Laiz, 2022 [86] A Spain 1 Handran, 2020 [161] A US 1 Calu, 2024 [10] A Romania 2 Sezer, 2022 [87] A Turkey 1 İriz, 2020 [162] A Turkey 1 Chen, 2024 [11] A Taiwan 1 Shahid, 2022 [88] A Pakistan 1 İyigün, 2020 [163] A Turkey 1 Darestani, 2024 [12] A Iran 1 Sharma, 2022 [89] A India 1 Jarovsky, 2020 [164] A Brazil 1 Ghaedamini, 2024 [13] A Iran 1 Sozutok, 2022 [90] A Turkey 1 Johny, 2020 [165] A India 1 Gulati, 2024 [14] A US 1 Sun, 2022 [91] B China 2 Kankilic, 2020 [166] B Turkey 6 Hasnaoui, 2024 [15] A Tunisia 1 Ulusoy, 2022 [92] A Turkey 1 Kaskar, 2020 [167] A India 1 Haydar, 2024 [16] A Iran 1 Uzunoğlu, 2022 [93] A Turkey 1 Kiran, 2020 [168] A India 1 Jalayeri, 2024 [17] A Iran 1 Wang, 2022 [94] A China 1 Kırmacı, 2020 [169] A Turkey 1 Jellali, 2024 [18] A Tunisia 1 Agarwal, 2021 [95] A India 1 Kumar, 2020 [170] A India 1 Karahan, 2024 [19] A India 1 Aghajanzadeh, 2021 [4] A Iran 1 Lahdhil, 2020 [171] A Tunisia 1 Koren, 2024 [20] A Israel 1 Aili, 2021 [96] A China 1 Lapierre, 2020 [172] A Canada 1 Mahesan, 2024 [21] A India 1 Akhan, 2021 [97] A Turkey 1 Llanos, 2020 [173] A US 1 Bouhout, 2024 [22] A Morocco 1 Basne, 2021 [98] A Nepal 1 Lodhia, 2020 [174] A Tanzania 2 Manuel, 2024 [23] A Angola 1 Biswas, 2021 [99] A India 3 Lyske, 2020 [175] A Canada 1 Mierzejewski, 2024 [24] A Poland 1 Boumarah, 2021 [100] A Saudi Arabia 1 Ma, 2020 [176] E China 195 Mutlu, 2024 [25] A Turkey 1 Çankaya, 2021 [101] A Turkey 1 Mitrovic, 2020 [177] A Serbia 1 Remmerswaal, 2024 [26] A Netherlands 1 Cathomas, 2021 [102] A Switzerland 2 Mittal, 2020 [178] A India 1 Reyimu, 2024 [27] A China 1 Chatzifotiou, 2021 [103] A Germany 1 Moghtadaie, 2020 [179] A Iran 1 Sączek, 2024 [28] A Poland 1 Christodouli dis, 2021 [3] C Greece 50 Nistor, 2020 [180] A Romania 1 Thakar, 2023 [29] A India 1 Ciftci, 2021 [104] C Turkey 34 Ogul, 2020 [181] A Turkey 1 Voicu, 2024 [30] A Romania 1 Conlon, 2021 [105] A Ireland 1 Pappas, 2020 [182] A Greece 1 Aarif, 2023 [31] A India 1 Elvan-Tuz, 2021 [106] A Turkey 2 Ramia, 2020 [183] C Spain 71 Alsulami, 2023 [32] A Saudi Arabia 1 Gautam, 2021 [107] A India 1 Samadian, 2020 [184] A Iran 1 Ammar, 2023 [33] A Tu

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.266
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0070.004
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.144
GPT teacher head0.543
Teacher spread0.399 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2025
Admission routes1
Has abstractyes

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