PF321 REAL‐WORLD TREATMENT PATTERNS OF PATIENTS DIAGNOSED WITH DIFFUSE LARGE B‐CELL LYMPHOMA (DLBCL) IN THE UNITED STATES (US)
Bibliographic record
Abstract
Background: DLBCL represents the most common subtype of non‐Hodgkin lymphoma worldwide, but current data is limited on the treatment patterns of patients in clinical practice. Standard of care frontline therapy consists of RCHOP or equivalent. In October 2015, DLBCL administrative claims were differentiated from primary mediastinal large B‐cell lymphoma (PMBCL) with the advent of ICD‐10‐CM disease‐specific codes, allowing a more focused look at these populations. Aims: This study aims to describe real‐world treatment patterns among patients diagnosed with DLBCL in the US. Methods: A retrospective database analysis was conducted using the Optum Clinformatics DataMart TM database (01/2013–03/2018). Patients with ≥1 hospitalization or ≥2 outpatient encounters with an ICD‐10‐CM diagnosis code for DLBCL (or an antecedent ICD‐10‐CM diagnosis of other lymphoma, which may have been assigned before confirmation of DLBCL) after October 1 st , 2015 (index date) were classified as incident if they had no prior ICD‐9‐CM diagnosis code for unspecified DLBCL or PMBCL, or as prevalent if they had a prior ICD‐9‐CM code for unspecified DLBCL or PMBCL before October 2015 (index date). At least 12 months of continuous enrollment pre‐index date (baseline period) and ≥18 years of age as of the index date was required. Patients with any ICD‐10‐CM diagnosis for PMBCL were excluded; along with patients with baseline diagnoses of Hodgkin lymphoma, multiple myeloma, or other selected lymphomas. An adapted algorithm developed from previously published studies was used to identify lines of therapy (LOT). Duration of therapy spanned from LOT initiation up to discontinuation of all agents in the LOT, a switch to another LOT, or the addition of a new agent. Results: Among 4,074 DLBCL patients (3,201 incident, 873 prevalent), median (IQR) age was 73 (65–80) years; 46% were female. Incident and prevalent patients had mean Charlson comorbidity index scores of 2.7 and 2.3, respectively. Analysis of treatment patterns (Table 1), showed that 1,877 incident patients (58.6%) were treated with ≥1 LOT (mean ± standard deviation [SD] duration of therapy [DOT]: 81.1 ± 65.9 days), and 22.6% of patients treated received ≥2 LOT (mean ± SD DOT: 74.2 ± 91.9 days). Mean ± SD time from index date to the first line (1L) initiation was 47.1 ± 62.1 days. Similarly, 74.6% of prevalent patients were treated with ≥1 LOT (mean ± SD DOT: 110.1 ± 125.3 days), while 38.4% of patients treated received ≥2 LOT (mean ± SD DOT: 123.2 ± 206.9 days). Their mean ± SD time from index date to 1L initiation was 73.9 ± 158.8 days. The most frequently used 1L therapies of both incident and prevalent patients were R‐CHOP (65.3% and 66.8%), monotherapy with rituximab (7.2% and 7.1%), bendamustine plus rituximab (4.7% and 5.2%), R‐CVP (rituximab, cyclophosphamide, vincristine, and prednisone; 2.5% and 3.4%), and R‐CEOP (cyclophosphamide, etoposide, vincristine, and prednisone; 1.8% and 2.0%). Summary/Conclusion: This real‐world study of DLBCL patients suggests that a substantial proportion of these patients require treatment beyond 1L, highlighting the unmet need within this population. image
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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".