Past, Present and Future? of Colorectal Cancer Epidemiology and Clinical Study in Misan
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
Background: Colorectal carcinoma is commonest cancer of GIT. It is represent third cancer in man worldwide beyond lung and prostate cancers. It is fourth cancer in woman beyond breast, lung and uterus cancers. Deaths from colorectal cancer is more in compare with other GIT cancers. The study aimed to determine epidemiological and clinical data of colorectal cancer in Misan province.Methods: Our study conducted in Misan province, Iraq. The data were collected from 2013 to 2016. Seventy one patients that found have colorectal cancer. An epidemiological, clinical and descriptive study perform which included frequency of gender, age, residency, site of cancer, family history, past history, year of onset, smoking history, alcohol intake, presentation of cancer at time of diagnosis, staging and histopathology pattern in relation to colorectal cancer.Results: Overall prevalence of colon and rectum carcinoma is 3.75%. The most age group affected was 51-60 years as 30.99%. The gender and residency of patients have no effect on cancer percent. Obesity, Family history, cigarette smoking and alcohol consumption represented risk factors for colorectal cancer. In 42.25% of patients had family history of cancer. Most common site of colorectal carcinoma was left colon, which present in 61.97%. Conclusion: There was slight increase in new cases detection of colorectal carcinoma from 2013 to 2016. Advanced stages of colorectal cancer were most common stages description as stage IIIA, IIIB, IIIC and stage IV in 12.67%, 16.90%, 19.72% and 15.49% respectively. The common histopathological pattern of colorectal cancer was moderately differentiated adenocarcinoma as 53.52%.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 it