ArticleOpen forum infectious diseases2023
Article in Open forum infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.
- Strongyloides stercoralis infection in the UK: A systematic review and meta-analysis of published cases.Clinical medicine (London, England) · 2024Pooled it
- Illustrative case series of eosinophilia in UK Armed Forces personnel and recommended management for non-specialists.BMJ military health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Background: Methods: Burden, clinical course, and risk factors associated with all Results: We reviewed 243 charts based on diagnosis coding, yielding 210 confirmed diagnoses (86.4%). Immigrant patients born in Latin America/Caribbean, sub-Saharan Africa, and East Asia/Pacific regions had statistically significant increased risk ratios of infection at 34.4, 32.0, and 22.4, respectively, when compared to patients born in Europe and North America. In univariate analysis, active duty members in the healthcare occupational category had a statistically significant increased risk ratio of infection at 2.31 compared to those outside this occupation. Multivariate logistic regression analysis demonstrated that occupational categories of healthcare, admininstrative/support, warfighter/combat specialist, and engineering/repair/maintenance occupations, being an immigrant patient, and age ≥65 were all associated with statistically significant increased odds ratios for infection. Conclusions: In the Military Health System, occupational exposures, region of birth, and age serve as risk factors for
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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 OpenQuestion graph.