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First-Line Treatment and Outcome of Elderly Patients with Primary Central Nervous System Lymphoma (PCNSL) – A Systematic Review and Individual Patient Data Meta-Analysis

2012· review· en· W2558396912 on OpenAlexaff
Benjamin Kasenda, Andrés J.M. Ferreri, Emerenziana Maturano, Jacoline J.E.C. Bromberg, Hervé Ghesquières, Céline Ferlay, Jean‐Yves Blay, Khê Hoang‐Xuan, Yasushi Okoshi, Shigeru Chiba, Kristina Fritsch, Antonio Omuro, Brian Patrick O’Neill, Osnat Bairey, Viktoria Gloy, Neera Bhatnagar, Stefan Haug, Susanne Rahner, Gerald Illerhaus, Matthias Briel

Bibliographic record

VenueBlood · 2012
Typereview
Languageen
FieldMedicine
TopicCNS Lymphoma Diagnosis and Treatment
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicinePrimary central nervous system lymphomaPerformance statusObservational studyInternal medicineRandomized controlled trialOncologyLymphomaPediatricsChemotherapy

Abstract

fetched live from OpenAlex

Abstract Abstract 3655 Background Primary central nervous system lymphoma (PCNSL) is an aggressive lymphoma with devastating prognosis. High-dose methotrexate (HD-MTX) in combination with HD-cytarabine builds the backbone of current treatments. Elderly patients constitute 45% of cases, exhibit poor outcome and frequent iatrogenic toxicity. However, research efforts to optimize therapy in this subgroup have been neglected. On this background, we conducted a systematic review (SR) and individual patient data meta-analysis (IPDMA) to provide comprehensive evidence-based management strategy for elderly patients with PCNSL. Patients and Methods SR: We searched MEDLINE and EMBASE without language restriction. Eligibility criteria were prospective/retrospective observational studies or randomized trials (RCT) (all N>=10) that exclusively focused on first-line therapy/outcomes in immunocompetent PCNSL patients ≥60 years. Eligible studies were evaluated for methodological quality and reporting of the following baseline characteristics: Age, performance status (PS), involvement of deep brain structures (IDB), serum LDH at baseline, cerebro-spinal fluid (CSF) protein concentration elevation, neurotoxicity (as reported), specific co-morbidity indices, and functional status. For the IPDMA, investigators of eligible studies were asked to provide individual patient data. Minimal eligibility criteria: Age at baseline, details about first-line therapy, and follow-up information. If no data were available, studies were included in the SR, but not in the IPDMA. To maximize statistical power and generalizability, published/unpublished data from other international collaborators were included. Impact of different first-line treatments on overall survival (OS) was investigated using time dependent mixed effects multivariable Cox regression models (age and PS as fixed effects, study/database as random effect). Results SR: We identified 13 eligible studies including 583 patients in total, median age 68–76, published from 1996–2011. Design of studies: prospective (3 multicenter [1 RCT]; 2 single center), retrospective (4 multicenter and single-center, respectively). Accrual of the RCT was recently finished, but publication is pending. From published studies, information about age and therapy was given throughout, for clinical performance in 77%, for LDH and CSF protein in 15%, and IDB in 38%. Functional status was reported in only one study. From the identified 13 studies, 261 individual patient data were available for our IPDMA and pooled with 408 patients from other databases; altogether 669 patients diagnosed from 1977–2011. Preliminary results IPDMA: 50% were male, median age 68 (60–70 [N=431], 70–80 [N=211], >80 [N=22]); median KPS was 60% (10–100%). Therapy regimens widely varied. Overall response to first-line treatment was 65% (45% CR, 19% PR). After a median follow-up of 23 months (1–171), 44% were still alive, with a 3-year OS of 32% [95%CI, 29–37%]. Grouping by time of diagnosis revealed improvement for patients diagnosed after 1997 (N=462) (P<0.001). In multivariate analysis, MTX-based poly-chemotherapy (CT) (N=474) was associated with improved OS (Hazard ratio [HR] 0.69, 95% CI 0.52–0.91) compared to non-MTX regimens (N=195); this was consistent among patients who received consolidating WBRT (HR 0.33, 95% CI 0.01–0.66) and those who did not (HR 0.46, 95% CI 0.23–0.89). In patients who received any MTX-based poly-CT, addition of CHOP-like components (N=90) was not associated with improved OS (HR 0.98, 95% 0.65–1.48). Although any WBRT showed an overall trend for superior OS, it was associated with a 4-fold risk increase for neurotoxicity (Odds Ratio 4.21, 95% CI 2.23–8.21). Further results of treatment patterns and explorative comparisons will be presented at the meeting. Conclusion This international meta-analysis revealed widely varying treatment approaches and demonstrates that prognosis for elderly PCNSL patients is still poor. However, improvement over the last decades was observed. MTX-based poly-CT was associated with better outcome compared to non-MTX containing approaches. The addition of CHOP-like regimens to HD-MTX did not improve outcome. WBRT was associated with better outcome, but also clearly increased risk of neurotoxicity. Prospective trials designed ad hoc for elderly PCNSL patients are promptly needed. Disclosures: No relevant conflicts of interest to declare.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.023
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0140.029
Bibliometrics0.0050.005
Science and technology studies0.0000.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.119
GPT teacher head0.305
Teacher spread0.185 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

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".

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Citations9
Published2012
Admission routes1
Has abstractyes

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