Citation and Traceability for Solid Tumor Clinical Trial

Data Characteristics for This Category

Solid tumor clinical trial data primarily originates from the National Medical Products Administration (NMPA) Center for Drug Evaluation (CDE) clinical trial registration and public platform, the National Institutes of Health (NIH) ClinicalTrials.gov database, and the European Clinical Trials Database (EU CTR). This data exists in both structured and semi-structured formats. It includes trial protocol details, subject enrollment criteria, disease staging, treatment regimens, and primary/secondary endpoints. Data updates typically occur weekly or monthly. Key information like recruitment status and trial progress may update in real-time. Document structures mainly consist of PDF-formatted clinical trial protocols, supplemented by structured data exports in XML or JSON formats. Common fields include NCT ID (ClinicalTrials.gov identifier), Drug Name, Biomarker, Inclusion Criteria, Exclusion Criteria, and Overall Survival. Units are often standard medical measurements, such as milligrams (mg), milliliters (mL), days, and percentages (%).

Constraints on Citation and Traceability from These Characteristics

The diverse sources of solid tumor clinical trial data require a citation and traceability mechanism that can aggregate data identifiers from different platforms. Varying update frequencies mean the system must handle version iterations, ensuring cited data is the latest or a specified historical version. The semi-structured nature of clinical trial protocol PDFs challenges text parsing and key information extraction, directly impacting the accuracy of cited snippets. Fields like inclusion and exclusion criteria are complex, often containing medical terminology and numerical ranges. Precise traceability to specific sentences or table cells in the original text is crucial. Furthermore, different databases have inconsistent field naming conventions. For example, the CDE platform and ClinicalTrials.gov may use different field names for the same concept, necessitating field mapping during traceability to ensure citation consistency.

Configuration Settings

Configuration Item	Suggested Value	Rationale for This Value
`maxContext`	`1200 characters`	Solid tumor clinical trial protocols are detailed, requiring a longer context to ensure citation completeness and avoid truncation of key information.
`Recall Count`	`Top 8`	Given the complexity of clinical trial protocols, increasing the recall count can cover more potentially relevant citation snippets.
`Similarity Threshold`	`0.75`	The precision of clinical terminology and descriptions demands a higher similarity to ensure citation relevance.
`Reranked Return Count`	`Top 5`	After reranking, more precise citations emerge, reducing reliance on irrelevant information.
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds`	Parsing large clinical trial protocol PDF files takes a long time, requiring a longer timeout to avoid parsing failures.
`Citation Source Display Format`	`[Document ID] Title - Source Platform - Page Number`	Clearly displays the source ID, document title, original platform, and specific page number, allowing users to quickly locate original information.

Three Common Mistakes

Cited document IDs or page numbers appear as null or empty in the response. This happens when the Document ID and Page Number fields are not correctly extracted or mapped during document parsing.
Users attempt to use \n for line breaks in conversations, but the actual output still shows \n characters, failing to achieve the desired line break effect. This usually occurs because the frontend rendering component does not correctly parse or the backend text processing module does not enable newline character escaping.
After exporting a workflow and importing it into a new environment, plugins referenced in the workflow report "Plugin not found." This is due to the lack of corresponding plugin installation or incorrect plugin path configuration in the new environment.

How to Verify Configuration

For typical solid tumor clinical trial queries, check if the citation section of the generated answer accurately points to the specific page number and paragraph of the original document. Also, verify if identifiers like NCT ID are correct.
Upload a clinical trial protocol PDF containing complex tables and medical terminology. Verify that the system can correctly cite table content in the answer and trace it back to the page number where the table is located.
Simulate a cross-platform clinical trial information query. Confirm that the citation source can correctly identify and display document identifiers and platform information from different data sources (e.g., CDE and ClinicalTrials.gov).

The values given are common starting points and should be measured against the reader's own samples.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-21.