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Record W2526568076 · doi:10.14740/jmc.v7i10.2656

Central Nervous System Hemorrhage Following Lumbar Puncture for Intrathecal Chemotherapy in a Pediatric Oncology Patient

2016· article· en· W2526568076 on OpenAlexvenueno aff
Onur Balaban, Giorgio Veneziano, Richard S. Cartabuke, Joseph D. Tobias

Bibliographic record

VenueJournal of Medical Cases · 2016
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLumbar punctureIntrathecalChemotherapyEtiologyCerebrospinal fluidLymphoblastic LeukemiaLumbarIntraventricular hemorrhageAnesthesiaAdverse effectSurgeryInternal medicineLeukemia

Abstract

fetched live from OpenAlex

In the pediatric oncology patients, a lumbar puncture (LP) may be performed to administer intrathecal chemotherapy and obtain cerebrospinal fluid (CSF) samples. Although it is generally safe and devoid of adverse effects, with insertion and advancement of the spinal needle, there may be a risk of bleeding especially in patients with inherited or acquired defects of coagulation function. We report a 3-year-old child with acute lymphoblastic leukemia and associated thrombocytopenia who developed spinal and intraventricular hemorrhage following an LP for the administration of intrathecal chemotherapy. The etiology of such complications is discussed, previous reports are reviewed, and guidelines are suggested to prevent these complications. J Med Cases. 2016;7(10):461-466 doi: http://dx.doi.org/10.14740/jmc2656w

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)0.002
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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.003
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 head0.014
GPT teacher head0.280
Teacher spread0.266 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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