Rectal cancer and chemoradiation in Iraq: systematic review and meta-analysis
Bibliographic record
Abstract
Abstract Background Rectal cancer is one of the most common malignant tumors of gastrointestinal tract. Combining chemotherapy with radiotherapy has a sound effect on its management. Objectives Assessment the patterns of characterizations of rectal cancer. Evaluation of the efficacy, and long-term survival of pre-/ postoperative chemoradiation. Collecting all eligible evidence articles and summarize the results. Methods By this systematic review and meta-analysis study, we include data of chemoradiation of rectal cancer articles from 2015 until 2019. The research was carried out at Baghdad Medical City oncology centers. Accordance with the PRISMA guidelines, and the Newcastle–Ottawa Scale used. Results Starting with gender distribution as M:F ratio of 0.94:1.06. Regarding the age, recorded mean ± SD of 48.7 ± 14.2 years. Rectosigmoid represented the most common site as 50(49.5%), and adenocarcinoma was common histopathology as 76(75.2%) of patients, with localized stage in 50(49.5%). The moderate differentiation was most grade as 65(64.4%). The distant from anal verge mostly seen was 5–10 cm in 59(58.4%). The pulmonary was commonest site of metastasis in 11(10.9%). Most patients undergo APR operation, which has done in 41(40.6%). Adjuvant chemoradiation received by 40(39.6%) patients, whereas neoadjuvant chemoradiation gave to 25 patients. A total of 2609 articles from 12 databases met our search strategies. The highest Newcastle–Ottawa score (8) demonstrated in three studies, and median score (7) calculated in five studies. Conclusions The incidence belonged to 5th and 6th decade of life. Rectosigmoid represented the most common site. Mostly, the 5–10 cm distant of tumor from anal verge was common finding. The pulmonary was most site of metastasis. We concluded the formulation of a novel point that survival benefit found in many pre or postoperative chemoradiation trials in rectal cancer.
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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 | 0.007 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.025 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".