The Canadian Thyroid Cancer Consortium Registry development experience
Bibliographic record
Abstract
1682 Objectives: To support assessment of short and long-term follow-up and documentation of outcomes of thyroid cancer care. We have developed and implemented a web-based registry, which consists of multiple identical site-specific databases for data collection and querying. Methods: The registry was developed using a LAMP software system. LAMP stands for Linux(OS), Apache(Web server), MySql(Database back-end) and PHP(scripting and interface language). A design of preliminary data input forms was conceived with core data elements and distributed to key practitioners for review. This design underwent many revisions to sort out ambiguities, remove redundancies and collect only relevant data, which is easily query-able. Input methods such as pull-down menus, check boxes and exclusive radio buttons were used accordingly based on the nature of data being collected. Although web-based, access privileges are set and each site can only add or edit within the scope of its assigned database in the registry. Each site9s database contains 39 tables and sub-tables inter-related with key, unique identifiers. Educational manuals were developed and distributed to participating sites with standardized definitions thus providing a common language for all institutions to ensure uniform data collection. Results: An external audit confirmed that the programming was robust. Institutional review boards have accepted that Canadian standards for patient confidentiality are met. Key strengths of the database include the multi-centre and potential international scope of the registry encompassing institutional and geographic diversity, large patient samples, potential amalgamation of data, security features and standardized data definitions. Audit standards to ensure integrity, accuracy and reliability of registry data are in development. Conclusions: This database will be a tool to facilitate multi-centre and international collaboration in the prospective evaluation of outcomes of thyroid cancer management.
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.
How this classification was reachedexpand
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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".