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Record W2074923396 · doi:10.3109/10428190009059283

Bone Marrow Necrosis in Adult Acute Leukemia and Non-Hodgkin's Lymphoma

2000· article· en· W2074923396 on OpenAlexaff
Donna L. Forrest, Benjamin J. Mack, Thomas J. Nevill, Stephen Couban, Ekram Zayed, Annette Foyle

Bibliographic record

VenueLeukemia & lymphoma/Leukemia and lymphoma · 2000
Typearticle
Languageen
FieldMedicine
TopicBone and Joint Diseases
Canadian institutionsDalhousie UniversityQueen Elizabeth II Health Sciences Centre
Fundersnot available
KeywordsMedicineLymphomaBone marrowLeukemiaAcute leukemiaMyeloid leukemiaPathologyHaematopoiesisInternal medicineOncologyStem cell

Abstract

fetched live from OpenAlex

Bone marrow necrosis is a rare finding in adult patients diagnosed with acute leukemia or non-Hodgkin's lymphoma. Previous reports have suggested that it is associated with a poor prognosis. It remains unclear however, whether improvements in patient care during the last decade have altered patient outcome. In a retrospective review of 581 bone marrow biopsies performed ante mortum on adult patients with acute leukemia or non-Hodgkin's lymphoma, we identified 10 cases of bone marrow necrosis (5 acute myeloid leukemia, 5 non-Hodgkin's lymphoma). Severe bone pain, elevated serum lactate dehydrogenase levels and leukoerythroblastic peripheral blood smears were common presenting features. Despite treating 8 of the 10 patients with curative intent, only 2 patients remain alive and disease-free. This study confirms that bone marrow necrosis in adults with acute leukemia and non-Hodgkin's lymphoma is a rare ante mortum finding and confers a poor prognosis. Whether these patients would benefit from more intensive therapy such as hematopoietic stem cell transplantation remains to be clarified.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.889
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.227
Teacher spread0.221 · 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; both teacher heads agree on what is shown here.

Study designOther design
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

Citations26
Published2000
Admission routes1
Has abstractyes

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