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Record W2117683711 · doi:10.1177/0009922811410309

Incidence of Traumatic Lumbar Puncture

2011· article· en· W2117683711 on OpenAlexaff
Miguel Glatstein, Merav Zucker‐Toledano, Arik Alper, Dennis Scolnik, Asaf Oren, Shimon Reif

Bibliographic record

VenueClinical Pediatrics · 2011
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury and Neurovascular Disturbances
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineIncidence (geometry)Lumbar punctureSittingCerebrospinal fluidLumbarAnesthesiaSedationProspective cohort studySurgeryInternal medicinePathology

Abstract

fetched live from OpenAlex

The objective of this study was to establish the incidence of traumatic or unsuccessful lumbar punctures (LPs) in the authors' institution. This is a prospective study. Traumatic LP was defined as >400 red blood cells (RBCs) and unsuccessful LP as failure to obtain cerebrospinal fluid (CSF) after the first LP attempt. A total of 127 CSF were recorded over 1 year. The incidence of a traumatic LP was 27/103 (26.2%) using the sitting position and 3/24 (12.5%) in infants and children using the lying position. In total, 33 (26%) CSF samples had 0 RBCs. The incidence of traumatic LP was 24% when the procedure involved one LP and 50% when more than one attempt was required. RBC count was significantly lower in cases requiring only one attempt (P = .0074). Incidence of traumatic LP was independent of physicians' experience, sedation use or time of procedure, suggesting an intrinsic factor as the cause of traumatic LPs.

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)0.001
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.116
GPT teacher head0.353
Teacher spread0.237 · 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 designObservational
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

Citations75
Published2011
Admission routes1
Has abstractyes

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