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Record W2536900198 · doi:10.1177/0009922816674521

Pain Management for Sickle Cell Disease in the Pediatric Emergency Department: Medications and Hospitalization Trends

2016· article· en· W2536900198 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueClinical Pediatrics · 2016
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsMcMaster Children's Hospital
FundersFeinstein Institutes for Medical Research
KeywordsMedicineEmergency departmentDiseasePain managementDisease managementEmergency medicineIntensive care medicineMedical emergencyPediatricsPhysical therapyPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

The majority of emergency department (ED) visits and hospitalizations for patients with sickle cell disease (SCD) are pain related. Adequate and timely pain management may improve quality of life and prevent worsening morbidities. We conducted a retrospective chart review of pediatric patients with SCD seen in the ED, selected by sickle cell-related ICD-9 codes. A total of 176 encounters were reviewed from 47 patients to record ED pain management and hospitalization trends. Mean time to pain medication administration was 63 minutes. Patients received combination (nonsteroidal anti-inflammatory drug [NSAID] + narcotic) pain medications for initial treatment at a minority of ED encounters (19%). A higher percentage of patients who received narcotics alone as initial treatment were hospitalized as compared with those who received combination treatment initially ( P= 0.0085). Improved patient education regarding home pain management as well as standardized ED guidelines for assessment and treatment of sickle cell pain may result in superior and more consistent patient care.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.040
Threshold uncertainty score0.258

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.312
Teacher spread0.296 · 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