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Record W41001845 · doi:10.1093/pch/13.6.499

Performing bone marrow aspiration and biopsy in children: Recommended guidelines

2008· article· en· W41001845 on OpenAlexaff
Oussama Abla, Jeremy Friedman, John L. Doyle

Bibliographic record

VenuePaediatrics & Child Health · 2008
Typearticle
Languageen
FieldMedicine
TopicHematological disorders and diagnostics
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsTrephineMedicineBone marrowBiopsyBone marrow examinationPathologyRadiology

Abstract

fetched live from OpenAlex

Bone marrow aspiration (BMA) and bone marrow trephine biopsy are important procedures for the diagnosis of hematological malignancies and nonmalignant diseases in children. During BMA, bone marrow particles are obtained for analysis including microscopic morphologic evaluations and differential counts. During a trephine biopsy, a core of bone marrow is obtained and processed for the evaluation of marrow cellularity and to rule out marrow involvement by solid tumours, lymphomas or other processes. These invasive procedures should only be performed by a trained individual following a standard operating technique. There are no clear published guidelines in the paediatric literature. Hence, the purpose of the present article is to provide guidelines for the performance of BMAs and bone marrow trephine biopsies in children that will be useful for both general paediatricians and paediatric hematologists and oncologists.

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)0.005
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0070.006

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 head0.042
GPT teacher head0.312
Teacher spread0.270 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations46
Published2008
Admission routes1
Has abstractyes

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