Blood screen findings in a 2-year cohort of newly arrived refugees to Sydney, Australia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: To describe the prevalence of certain health conditions in newly arrived refugees to Sydney, Australia, and thereby help inform screening practices. STUDY TYPE: A clinical audit of routinely collected pathology results. METHODS: Demographics and pathology results from a nurse-led health assessment program for newly arrived refugees during 2013 and 2014 were analysed. Prevalences of screened conditions were calculated, and compared by country of birth and other demographic features. A specific category was created for those from Middle Eastern countries, for comparative analysis. RESULTS: Pathology results were analysed for 3307 people from 4768 seen by the assessment program (69.4%). Anaemia was found in 6% of males and 7.6% of females. Vitamin D deficiency (<50 nmol/L) was detected in 77.5%. Chronic hepatitis B was found in only 1.7% but in more than 10% of people from Burmese and Tibetan backgrounds. Strongyloides seropositivity was found in 4%. Among the subset tested for hepatitis C antibody, 0.5% were positive. No human immunodeficiency virus (HIV) infections were detected. More than 75% of the study population was from Middle Eastern countries. Compared with refugees from other regions, this subset had less anaemia (in females), more vitamin D deficiency, less chronic hepatitis B and less strongyloides seropositivity. CONCLUSIONS: People from refugee backgrounds have differing risks of conditions, based on demographics, migration history and prior screening. Postarrival testing should be tailored to each family and individual. Results of screening should be constantly reviewed and the approach updated based on findings. We support, in particular, the Canadian approach of only retesting HIV in refugees from countries with a high prevalence of infection (>1%).
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.026 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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 it