O15 Epidemiological analysis and overall survival of small bowel cancer in a developing middle eastern country over 18 years
Bibliographic record
Abstract
Introduction Despite that small bowel malignancies are considered to be uncommon, there is an alarmingly worrisome incline in the incidence over the last 4 decades in developed countries. Accordingly, the identification of the epidemiological characteristics of small bowel cancer in developing countries, such as Jordan, is of paramount significance to enable the introduction of effective measures. Methods Data on 427 individuals of different nationalities residing in Jordan who were diagnosed with small bowel cancer during the time period of 2000–2018 was obtained from the Jordan Cancer Registry, the official cancer reporting body in Jordan. Epidemiological statistical analysis, including Kaplan-Meier, was performed to establish the epidemiological features and overall survival of small bowel cancer in Jordan over 18 years. Results A total of 427 individuals with a mean age of 55.5 ± 13.9 years old with a prominent male predominance of 61.1% were included in the analysis. It was reported that 11.9% were smokers at the time of diagnosis. Despite that 36.9% of the individuals had small bowel cancer not otherwise specified (NOS), it was identified that the duodenum was the most prevalent location as it was reported in 43% of the individuals, followed by the jejunum (9.2%) and ileum (8.1%). Moderately differentiated tumours were the most prevalent (30.7%), followed by poorly differentiated tumours which were identified in 15.2% of the patients. 15.5% of the individuals had localized disease at the time of diagnosis, whereas 19.9% had widespread disease with distant metastasis. Adenocarcinoma was the most prevalent tumour morphology as it was identified in 53.2% of the patients, followed by gastrointestinal stromal tumours and carcinoid tumours which were identified in 12.9% and 7.5% of the individuals, respectively. A statistically insignificant incline in the crude incidence of small bowel cancer in Jordan over 18 years was evident with a crude incidence estimated effect of 0.006. The overall survival was 82.1%, 73.9%, 64.6%, 55.3%, and 55.3% at 1-year, 2-year, 3-year, 4-year, and 5-year interval, respectively. Conclusions Small bowel cancer in Jordan exhibits an earlier onset with a mean age at the time of diagnosis younger than developed countries. Additionally, the overall survival of small bowel cancer in Jordan at 5-year interval is lower in comparison to western countries, and thus mandating prompt intervention.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".