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Record W3085320542 · doi:10.1097/mph.0000000000001941

Pain in Children and Adolescents With Sickle Cell Disease: Multidimensional Assessment

2020· article· en· W3085320542 on OpenAlexaff
Clara Abadesso, Susana Rebelo Pacheco, Maria do Céu Machado

Bibliographic record

VenueJournal of Pediatric Hematology/Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineQuality of life (healthcare)DiseasePhysical therapyPediatricsPortugueseAbdomenOutpatient clinicPain assessmentInternal medicinePain managementSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Patients with sickle cell disease (SCD) suffer from recurrent painful vaso-occlusive episodes with a significant impact on their quality of life. The aim of this study was to perform a multidimensional assessment of pain in Portuguese children and adolescents with SCD. METHODS: Subjects were children and adolescents and their parents recruited from the outpatient pediatric hematology clinic in a Portuguese Hospital. Pain frequency and a broader multidimensional evaluation was performed using the Pediatric Pain Questionnaire (PedsQL) (that includes Visual Analog Scales, color indicators, qualitative descriptors of pain [open question] and body diagram) and a structured questionnaire (PQ2), that included a term list of the Adolescent Pediatric Pain Tool, among other questions. RESULTS: Included 60 children and adolescents (36 boys and 24 girls) with a mean age of 11±4.0 years (range, 5 to 18). The majority of children (83.1%) reported no present pain and 57.6% reported pain last month, with several degrees of pain intensity. Abdomen, thorax, and limbs were the most frequent localizations. Red was the color most chosen to describe "severe pain," whereas blue and green were more used to describe "no pain." The number of pain descriptors is different using an open-ended question (2.1±1.5) than a given list of terms (15.3±8.1). The most frequent terms used in the open question were "strong/very strong," "hurts a lot," "makes cry," and "horrible." Parents used similar pain descriptors. "Makes cry," "horrible," "tiring," "unbearable," and "uncomfortable" were the most frequent terms chosen in the PQ2. Pain interfered variably with daily activities for most of the patients. CONCLUSION: Pain experienced in SCD has a broad range of intensity levels, localization, and frequency. There are a number of pain descriptors and socio-emotional factors related to the pain experience. A comprehensive multidimensional assessment that includes both child's and parents' perspective seem to be the most adequate strategy to assess pain.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.027
Threshold uncertainty score0.517

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.006
GPT teacher head0.259
Teacher spread0.253 · 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

Citations9
Published2020
Admission routes1
Has abstractyes

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