Low rate of inflammatory bowel disease in the <scp>A</scp>ustralian indigenous paediatric population
Bibliographic record
Abstract
Although inflammatory bowel disease (IBD) is more prevalent in the developed world than the developing world, recent studies demonstrate increasing rates in many Asian countries.1 Furthermore, several reports document increased incidence of IBD in populations migrating from the developing world to developed countries.2 In contrast, lower rates of IBD are observed in indigenous populations in New Zealand and Canada than in other individuals in these countries.3 Similarly, it is believed that the prevalence of IBD amongst the Aboriginal and Torres Strait Islander (ATSI) population in Australia is low, although no published data are available. We aimed to establish the rate of IBD in children of ATSI descent utilising the Australian Paediatric and Adolescent IBD Database, which contains clinical and demographic information on children and adolescents submitted by a physician at the time of diagnosis of IBD. General population data (based upon the 2006 Australian Census) were obtained from the Australian Bureau of Statistics (accessed online August 2011). Of the 2300 entries in the APAID, 13 children diagnosed with IBD (0.56%; 7 Crohn's disease, 3 ulcerative colitis, 3 unclassified IBD) were of ATSI descent (10 with one ATSI parent, 3 with two ATSI parents) (Table 1). In 2006, 4.13% of the paediatric population (0–19 years) was Indigenous, indicating a rate of paediatric IBD in the Indigenous population approximately eight times lower than in the non-Indigenous Australian population. One potential explanation for the low rates of IBD reported in the ATSI population is that children of ATSI descent may live in remote locations with less exposure to ‘clean/hygienic’ settings or less access to medical care for diagnosis of IBD. However, the census data indicate that the ATSI population has moved into urban and rural locations to a similar extent to the non-Indigenous population (Table 1). Furthermore, people of Indigenous descent have adopted diet and life-style patterns that have resulted in as high, if not higher, incidences of ‘developed-country diseases’ such as type I diabetes mellitus and heart disease as are found among non-Indigenous people.4 Therefore, the Australian Indigenous population appears to contradict the trend of increase in IBD rates with movement of populations to more ‘developed’ environs. These data suggest that Indigenous Australians may have an unidentified resilience to developing IBD; it is unclear if genetic or environmental factors are implicated. This first report of the low incidence of IBD among Indigenous Australians suggests that further investigation is urgently required.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".