MétaCan
Menu
Back to cohort
Record W4408085490 · doi:10.18103/mra.v13i2.6109

Burkitt Lymphoma – A Model of Cancer Chemotherapy

2025· article· en· W4408085490 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMedical Research Archives · 2025
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Treatments and Mutations
Canadian institutionsSaskatchewan Cancer Agency
Fundersnot available
KeywordsLymphomaMedicineCancerChemotherapyCancer chemotherapyOncologyInternal medicineCancer research

Abstract

fetched live from OpenAlex

Purpose: This report seeks to validate some of the findings in animal models of cancer chemotherapy with observations in the real-world management of endemic Burkitt lymphoma in Nigerian children between 1979 and 1986. Materials and Methods: Between 1979 and 1981, a period of relative affluence in Nigeria, children with Burkitt lymphoma were treated with an induction course of four 14-day cycles of combination regimens: vincristine 1.4 mg/m2 on day 1, cyclophosphamide 1000 mg/m2 on day 1, methotrexate 12.5 mg/m2 on day 2, 3 and 4, and intrathecal treatment with methotrexate 12.5/m2 or cytosine arabinoside 50mg/m2 on day 1 and day 5 of 4 cycles, followed by 4-6 28-day cycles as maintenance. By 1981-1983, socioeconomic challenges led to loss of treatment quality, including variability in dose intensity and duration. Between 1984 and 1986, the children were managed on a randomized phase II clinical trial, in which donated cytosine arabinoside at high doses, e.g., 1000mg/m2 IV q12 hours x 4 doses – was given, with the aim of overcoming physiological barrier for better control of central nervous system involvement. Results: Chi-square test showed strong correlation between remission rate and dose intensity of single agents and mean relative dose intensity of combination chemotherapy (p< 0.0001), while Cox proportion hazard model revealed association between progression free survival and mean relative dose intensity (p = 0.0001) regardless of central nervous system involvement (p = 0.0003). Evaluation by log-rank test revealed highly significant association between less than 42, and more than 43 to 95 treatment days and progression free survival (p<0.0001), but, counterintuitively, not with more than 95 days (p=0.809). The clinical trial regimens led to complete plus partial response rates of 100% vs 45% and progression free survival rate of 64% vs 19.7% (p=0.205), and mean relative dose intensities of 592.2 vs 102.6 (p<0.0001) in the experimental and control arms, respectively. Conclusion: The clinical manifestations of the disease as well as the treatment outcomes in correlation with treatment qualities reflect predictable observations in animal models, thus, confirming the relevance of adherence to the principles of chemotherapy in clinical practice.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.967
Threshold uncertainty score0.501

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.476
Teacher spread0.435 · 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