Evidence map›Paper›PMID 40745348›Full record

SynthesisInfectious diseases of poverty2025

Test accuracy of loop-mediated isothermal amplification for schistosomiasis in low endemicity areas: a systematic review and meta-analysis.

Xinjie Zhou, Jiajia Li, Jiayin Qiu, Ting Feng, Chao Lv, Wangping Deng, Robert Bergquist, Jing Xu, Shizhu Li, Zhiqiang Qin

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Infectious diseases of poverty, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Rapid and Sensitive Detection ofTropical medicine and infectious disease · 2026
    Article
  5. To live or to die: competitive exclusion ofFrontiers in immunology · 2026
    Review
  6. A mini review on advances in diagnostic techniques forFrontiers in veterinary science · 2026
    Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Xinjie ZhouNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Key Laboratory on Parasite and Vector Biology, National Health Commission; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.
Jiajia LiNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Key Laboratory on Parasite and Vector Biology, National Health Commission; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.
Jiayin QiuNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Key Laboratory on Parasite and Vector Biology, National Health Commission; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.
Ting FengNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Key Laboratory on Parasite and Vector Biology, National Health Commission; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.
Chao LvNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Key Laboratory on Parasite and Vector Biology, National Health Commission; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.
Wangping DengNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Key Laboratory on Parasite and Vector Biology, National Health Commission; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.
Robert BergquistUNICEF/UNDP/World Bank/WHO Special Programme for Research and Training in Tropical Diseases (TDR), World Health Organization, Geneva, Sweden.
Jing XuNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Key Laboratory on Parasite and Vector Biology, National Health Commission; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.
Shizhu LiNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Key Laboratory on Parasite and Vector Biology, National Health Commission; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.
Zhiqiang QinNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Key Laboratory on Parasite and Vector Biology, National Health Commission; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China. qinzq@nipd.chinacdc.cn.ORCID http://orcid.org/0000-0002-1130-4689

Funding

Key Discipline Project of the Three-Year Action Plan for the Construction of Shanghai Public Health System GWVI-11.1-12
6 · The paper itself

Abstract

backgroundSchistosomiasis, caused by parasitic flatworms of the genus Schistosoma, remains a significant public health challenge in tropical and subtropical regions, affecting over hundreds of millions of people in these areas. Accurate diagnosis is crucial for effective disease control, particularly in low-endemic areas where traditional methods like microscopy are no longer effective. We aimed to evaluate the diagnostic performance of loop-mediated isothermal amplification (LAMP) for Schistosoma infection.

methodsAdhering to Preferred reporting items for systematic reviews and meta-analyses guidelines, we conducted a comprehensive search on 10 May 2025 across multiple databases including PubMed, Cochrane Library, Latin American and Caribbean Literature on Health Sciences, Embase, China National Knowledge Infrastructure, and Wanfang Data, using keywords such as "schistosom*", "LAMP", and "loop-mediated isothermal amplification". Based on available literature, pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR) and 95% confidential interval (CI) were calculated using STATA18.0 software. Subgroup analyses and univariable meta-regression were performed to explore the source of heterogeneity. Specifically, subgroup analyses were performed by categorizing into species (S. japonicum, S. mansoni, S. haematobium), sample type (stool, urine, serum, snails), and DNA extraction methods to explore factors influencing test performance.

resultsThe study finally included 24 individual studies derived from 14 published articles. The pooled analyses of LAMP data from all included studies resulted in a sensitivity of 0.90 (95% CI: 0.80-0.90), specificity of 0.82 (95% CI: 0.60-0.93), PLR of 4.98 (95% CI: 2.01-12.29), NLR of 0.13 (95% CI: 0.06-0.26) and diagnostic odds ratio of 39 (95% CI: 10-158). The area under the summary receiver operating characteristic curve reached 0.93, indicating excellent diagnostic performance. Subgroup analyses revealed optimal performance for S. japonicum and snail samples with lower heterogeneity (I

conclusionsLAMP shows promise as a rapid, sensitive and specific diagnostic tool for schistosomiasis, particularly in resource-limited settings. This technique enables field application, supporting global efforts toward elimination of schistosomiasis by 2030.

Indexed as

Molecular Diagnostic TechniquesNucleic Acid Amplification TechniquesSchistosomaSchistosomiasisAnimalsHumansSensitivity and SpecificityDiagnosisLoop mediated isothermal amplificationMolecular diagnosticsNeglected tropical diseasesSchistosomiasis

Identifiers

PMID40745348
PMCPMC12312377

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.