CATMAT statement on disseminated strongyloidiasis: Prevention, assessment and management guidelines
Bibliographic record
Abstract
Background: Strongyloides stercoralis is a parasitic nematode found in humans, with a higher prevalence in tropical and sub-tropical regions worldwide.If untreated, the infection can progress to disseminated strongyloidiasis, a critical illness which may be fatal.Objective: To provide clinical guidance on the prevention, assessment and management of disseminated strongyloidiasis.Methods: A literature review was conducted to evaluate the current evidence and to identify any systematic reviews, case reports, guidelines and peer reviewed and non-peer reviewed medical literature.The Committee to Advise on Tropical Medicine and Travel (CATMAT) assembled a working group to develop this statement, which was then critically reviewed and approved by all CATMAT members.Recommendations: CATMAT recommends that screening for strongyloidiasis should be considered for individuals with epidemiologic risk and/or co-morbidities that place them at risk for Strongyloides hyperinfection and dissemination.Those at highest risk of hyperinfection and dissemination are individuals born in a Strongyloides-endemic area who undergo iatrogenic immunosuppression or have intercurrent human T-lymphotropic virus (HTLV-1) infection.Diagnosis of strongyloidiasis is based on serologic testing and/or examination of stools and other clinical specimens for larvae.Referral to a tropical medicine specialist with expertise in the management of strongyloidiasis is recommended for suspected and confirmed cases.A diagnosis and treatment algorithm for strongyloidiasis has been developed as a reference tool.Conclusion: Strongyloidiasis is relatively widespread in the global migrant population and screening for the disease should be based on an individual risk assessment.A practical tool for the clinician to use in the prevention, assessment and management of disseminated strongyloidiasis in Canada is now available.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.014 | 0.008 |
| Insufficient payload (model declined to judge) | 0.021 | 0.013 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".