The Organization of Clinical Trials for Oncology at IRCCS Istituto Nazionale Tumori “Fondazione G. Pascale” Napoli and the Impact of the OECI Accreditation Process
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
The Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto Nazionale Tumori "Fondazione G. Pascale" (INT-Pascale) is the largest Clinical Care and Research Cancer Center in Southern Italy. The mission is prevention, diagnosis, and care of cancer and innovative research in oncology. In 2013, INT-Pascale joined the Organisation of European Cancer Institutes (OECI) accreditation and classification project along with other Italian IRCCS cancer centers. One of the major OECI requirements that a cancer center must fulfill in order to achieve and maintain OECI certification is a strong emphasis in translational and clinical research: increasing the number of patients enrolled in clinical trials, establishing easily accessible databases for operators, and informing all possible stakeholders, including patients. A characterizing theme of INT-Pascale is a strong commitment to clinical experimental studies. In the 2007-2014 period, 440 clinical trials were activated at INT-Pascale; in this period, the number of clinical trials and observational studies has had an increment achieving in 2014, respectively, the share of 60 clinical trials and 35 observational studies activated. Optimization of clinical trials management and dissemination of the clinical research culture at INT-Pascale are main objectives to be achieved through several actions and procedures being implemented as a component of the OECI improvement plan. Participation in the OECI program has represented an important challenge to improve quality and processes related to promoting, prioritizing, and monitoring clinical trials at INT-Pascale.
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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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