Eighteenth UICC International Cancer Conference June 30–July 5, 2002
Bibliographic record
Abstract
Background: Pancreatic carcinoma (PC) is highly resistant to chemotherapeutic agents (CHT).The most commonly used CHT have very poor response rates even and very low median survival rates (MSR).Several toxic effects are present.Previous results obtaining prolonged MSR free of side effects in colon carcinoma, PC and mammary carcinoma, lead us to carry on this trial using the association of low dose Lachesis Muta venom and trace elements Se, Zn and Mg LMO.Method: A group of 73 patients entered the experiment.The eligibility criteria were: non resectable advanced local or metastatic PC, post surgical relapsed PC, histological confirmation, previous therapy suspended 3 weeks prior to the beginning of our treatment, ECOG status 0 to 3, life expectancy 12 weeks, ictericia, bone marrow hipofunction and hepatic enzyme alterations were allowed if not compromising life expectancy.Patients were treated with daily intramuscularly applied 5 cm3 during all the follow up.Results: The 73 patients that entered the test showed a 19 months MSR (578 days) 25 % of them were alive five years later.Absolutely no secondary or adverse effects were observed due to the treatment.Remission of tumor masses was rarely observed but stabilization during long periods and slow increase was observed.Patients with relatively big metastatic or primitive tumor masses were able to carry on almost normal activities (ECOG 1-2) until the latest weeks of survival.Important quality of life benefits were observed, due to the absence of adverse effects and psychical improvement compared with previous CHT treatment periods, in the same patients.Advanced PC patients showed MSR duplicating those obtained with the latest CHT trials, without toxic or undesirable effects. Conclusion:We consider the LMO treatment highly recommendable for PC patients in any stage in place of CHT drugs and as a complementary therapy associated to radiotherapy, surgery and CHT.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.127 | 0.065 |
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".