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Record W2145748292

Temozolomide for Anaplastic Astrocytoma: A Case Report of Aplastic Anemia, Sustained Treatment Response, and Spontaneous Marrow Recovery

2013· article· en· W2145748292 on OpenAlexaff
Nadine Lam, Frances Cusano, Jill Bullock, Jacob C. Easaw

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsBaker Hughes (Canada)University of Calgary
Fundersnot available
KeywordsMedicineTemozolomideAplastic anemiaAnemiaBone marrowPancytopeniaInternal medicineGastroenterologySurgeryRadiation therapyOncology
DOInot available

Abstract

fetched live from OpenAlex

12.00 Introduction: Temozolomide is an alkylating agent used in the treatment of high-grade glioma. Rarely, it can induce an aplastic anemia that is usually rapidly fatal if the patient is unable to undergo a bone marrow transplant. This is the first case report of a temozolomide-induced aplastic anemia in an anaplastic astrocyoma patient, and of spontaneous complete marrow recovery with supportive care. Presentation of Case: 21 year old Caucasian female presented with pancytopenia after 39 days of temozolomide at 75mg/m 2 /day concurrent with radiation. Hematologic nadir occurred and aplastic anemia was diagnosed 3 months after the first dose of temzolomide. She required multiple platelet and red cell transfusions in addition to granulocyte colony stimulating factor therapy. During this time, the patient also became pregnant and delivered a healthy baby. With supportive care, the patient's white cell count recovered after 6 months, red cell count after 1.5 years, and platelets after 3 years. Her tumour remains stable more than 4 years after temozolomide and radiation with no further treatment. Conclusions: Aplastic anemia may occur with low-dose temozolomide. Spontaneous marrow recovery using only supportive care is possible following temozolomide-induced aplastic anemia . Normal 0 7.8 磅 0 2 false false false EN-US ZH-CN X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:普通表格; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.5pt; mso-bidi-font-size:11.0pt; font-family:Calibri,sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:宋体; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:Times New Roman; mso-bidi-theme-font:minor-bidi; mso-font-kerning:1.0pt;}

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.011
GPT teacher head0.253
Teacher spread0.242 · 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 designCase report
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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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