History of infantile BCG immunization did not predict lamina propria invasion and/or high-grade in patients with non-muscle invasive bladder cancer
Bibliographic record
Abstract
OBJECTIVE: To evaluate the utility of infantile BCG vaccination history in predicting stage and grade of tumours in non-muscle invasive bladder cancer (NMIBC). MATERIALS AND METHODS: We retrospectively analyzed data from patients from a single center who were diagnosed with new NMIBC and underwent transurethral resection of bladder tumour (TURBT) between 2017 and 2022. We assessed BCG immunization status with various demographics and comorbidities, as well as tumour recurrence, progression, stage, and grade. RESULTS: A total of 188 patients met the inclusion criteria for our study. The mean age of patients at the time of diagnosis was significantly lower in those that had been immunized with BCG (71 ± 9) than those who had not (77 ± 10) (p < 0.0001). History of BCG immunization did not correlate with sex, history of diabetes mellitus (DM), prior history of intravesical BCG treatment, and tumour recurrence, progression, stage, and grade. CONCLUSIONS: History of infantile BCG vaccination did not correlate with the depth of invasion and/or the grade in patients with non-muscle invasive bladder cancer. Patients that received infantile BCG vaccination were significantly younger at the time of diagnosis of NMIBC.
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) | 0.001 | 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 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".