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Record W3217670991 · doi:10.1016/j.dib.2021.107599

Pediatric Quality of Life InventoryTM version 4.0 short form generic core scale across pediatric populations review data

2021· article· en· W3217670991 on OpenAlexaffabout
Matthew D. Smyth, Kevan Jacobson

Bibliographic record

VenueData in Brief · 2021
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicinePsychosocialQuality of life (healthcare)DiseaseCohortScale (ratio)PopulationPediatricsGerontologyFamily medicineInternal medicinePsychiatryEnvironmental health

Abstract

fetched live from OpenAlex

The Pediatric Quality of Life InventoryTM Version 4.0 Short Form Generic Core Scale (PedsQLTM) is a validated and widely used tool assessing the quality of life (QoL) of children and youth. It has been used extensively across healthy populations as well as those with chronic and acute illnesses, allowing for comparison of the psychosocial impact of chronic illness between pediatric disease cohorts. As part of the QoL initiative undertaken at the British Columbia Children's Hospital (BCCH) Inflammatory Bowel Disease (IBD) program and published in the Journal of Pediatrics titled “Cross-Sectional Analysis of Quality of Life in Pediatric Patients with IBD in British Columbia, Canada,” a limited literature review was conducted using Embasse and Ovid. Studies using the English version of the PedsQLTM short form generic scale (not a disease specific scale) were identified. Studies with populations greater than 50 patients with robust subgroup sample size were included, with an emphasis on studies with well-defined patients with chronic disease. These data were compared to the BCCH population, as discussed in the aforementioned journal article. Analysis within the BCCH cohort is described separately. Comparison between different populations from the existing literature was qualitative only, with no statistical analysis done given the heterogeneity of populations and studies. In a study of patients from the emergency department at BCCH (n=178), the mean (SD) QoL scores of the healthy patients was 89.2 (10.3). In a group of self-identified healthy patients in California (n=5079), their mean QoL score was 83.9 (12.5). Separating the BCCH IBD population by disease activity, those in remission (n=220, 84.4 (12.8)) have similar QoL scores to these healthy cohorts, though their scores remain slightly below the previously published BCCH cohort. For children with any degree of active IBD (n=98, 75.6 (15.8)), their QoL scores are below the healthy means and are lower than other groups with self-identified “chronic illnesses” (n=367, 77.2 (15.5)), diabetes (n=418, 82.3 (13.5)), mild asthma (n=281, 85.5 (13.3)), or Canadian patients 4 weeks post-concussion (n=1157, 80.3). BCCH IBD patients with moderately to severely active disease have QoL scores well below the other disease groups (n=33, 63.1 (18.8)); lower than oncology patients on induction chemotherapy regimens (n=105, 68.9 (16.0)), acute inpatients (n=359, 63.9 (20.3)), and asthmatics with moderate-severe, persistent asthma (n=86, 67.1 (18.6)). This data is useful for clinicians treating pediatric patients looking at how QoL is influenced by chronic illness and by factors such as disease type and severity.

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)0.005
metaresearch head score (Gemma)0.025
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: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0080.011
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.289
GPT teacher head0.444
Teacher spread0.156 · 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
GenreDataset

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

Citations23
Published2021
Admission routes2
Has abstractyes

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