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Record W2016824457 · doi:10.1016/j.pain.2012.01.006

Reliability of the visual analog scale in children with acute pain in the emergency department

2012· article· en· W2016824457 on OpenAlexaff
Benoît Bailey, Jocelyn Gravel, Raoul Daoust

Bibliographic record

VenuePain · 2012
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsHôpital du Sacré-Cœur de MontréalUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsVisual analogue scaleRepeatabilityEmergency departmentMedicineReliability (semiconductor)Physical therapyProspective cohort studyAcute painAnesthesiaSurgeryStatisticsMathematicsPsychiatry

Abstract

fetched live from OpenAlex

In children, many psychometric properties of the visual analogue scale (VAS) are known, including the minimum clinically significant difference (10mm on a 100-mm VAS). However, its imprecision or reliability is not well known. Thus, in order to determine the reliability of this scale, a prospective cohort study was performed in patients aged 8-17 years presenting to a pediatric emergency department with acute pain. Pain was graded 4 times using a paper VAS (0-100mm): T(0), T(3), T(6), and T(≥ 36)minutes. After T(6), patients were asked if their pain had changed since T(0)minute. The primary analysis was the repeatability coefficient of the VAS, determined according to the Bland-Altman method for measuring agreement using repeated measures in patients reporting that their pain was the same for T(0), T(3), and T(6). In order to appropriately estimate the within-subject SD, 96 patients were required if we obtained 3 measurements for each patient. A total of 151 patients with a mean age of 12.2 ± 2.5 years were enrolled. Among them, 100 mentioned that their pain was the same for T(0), T(3), and T(6)minutes. The repeatability coefficient of the VAS for these children was 12 mm when the pain did not change. This implies that, for a child, all pain intensity measurements within 12 mm should be considered the same pain intensity on a paper VAS. This measure should also be evaluated on other types of VAS.

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)0.014
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 score0.014
Threshold uncertainty score0.495

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.001
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 head0.007
GPT teacher head0.273
Teacher spread0.265 · 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 teacher head, 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

Citations94
Published2012
Admission routes1
Has abstractyes

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