PB2098: ‘REAL-WORLD’ TREATMENT PATTERNS AND PATHWAYS OF SECOND LINE DIFFUSE LARGE B-CELL LYMPHOMA PATIENTS IN UK, CANADA, FRANCE, GERMANY, ITALY AND SPAIN USING A PROSPECTIVE SURVEY OF PHYSICIANS
Bibliographic record
Abstract
Background: Diffuse large B-cell lymphoma (DLBCL) is the most prevalent form of Non-Hodgkin Lymphoma, representing 25% to 35% of cases annually1. Despite this, there is a lack of research into treatment patterns of real-world patients, especially in the 2nd line (2L) setting. Aims: To determine the ‘real-world’ treatment patterns and treatment pathway of DLBCL patients treated at the second line, with a focus on patients who are ‘fast progressors’ as defined below. Methods: In this study ‘real-world’ data were drawn from the Adelphi DLBCL Disease Specific Programme™ (DSP), a point-in-time survey of clinicians and their next 6 presenting patients with DLBCL. The survey was conducted in France, Germany, Italy, Spain, the United Kingdom (UK) and Canada between Jan-May 2021. Patients who were refractory/relapsed <12 months from 1st line (1L) therapy, eligible for a stem cell transplant (SCT) at initial relapse/refractory, had an ECOG performance score of 0-1 and had no history of hepatitis B or C or CNS events were studied. Results: 47 patients met the criteria. Mean age of the patients was 58.0 (SD: 11.7) years, 68% were male and 26% were retired. At 1L, 94% of patients received R-CHOP with a median of 171.2 days (IQR: 61.0-247.5) between the end of their 1L and the start of their 2L treatments. All patients received salvage chemotherapy (SC) in the form of R-ESHAP, R-DHAP or R-GDP in most cases (Figure 1). 49% of the patients had a complete response (CR) to SC, 21% had partial response (PR), 30% stable/no response. In total 26 (55%) patients received high-dose therapy-SCT (HDT-SCT). Figure 1 shows the response to 2L treatments across patients and indicates why some patients did not progress to SCT despite being previously eligible. Patients receiving SCT had a median time from 2nd line SCT to relapse/refractory of 189.0 (IQR: 94.0-333.0) days. 54% of patients received chimeric receptor antigen T-cell (CAR-T) therapies at 3L (Figure 1), with the majority having previously received SCT. CAR-T use was higher in UK (67%), Canada (63%) and Germany (60%) than in other regions. Image:Summary/Conclusion: Despite all patients with DLBCL observed being SCT eligible at their first relapse, only half of these patients went on to receive an SCT. Unacceptable response to SC, progressive disease and patient choice were common reasons for not going on to receive SCT. Despite seemingly favourable responses to SCT, these patients progressed quickly and were likely to receive a CAR-T treatment in 3L, indicating an unmet need and highlighting potentially high resource use and substantial impacts to quality of life.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".