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Record W4389297586 · doi:10.1093/jnci/djad251

Randomized trial of dyadic-report vs proxy-report and self-report symptom assessment for pediatric patients receiving cancer treatments

2023· article· en· W4389297586 on OpenAlexaff
Deborah Tomlinson, Cassandra Tardif-Theriault, Tal Schechter, L. Lee Dupuis, Lillian Sung

Bibliographic record

VenueJNCI Journal of the National Cancer Institute · 2023
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsUniversity of TorontoInstitute for Clinical Evaluative SciencesSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsRandomized controlled trialProxy (statistics)FeelingMedicineCrossover studyClinical psychologyPsychologyPhysical therapyInternal medicineSocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: We validated different approaches to symptom assessment for pediatric cancer patients based on the Symptom Screening in Pediatrics Tool (SSPedi) for self-report (SSPedi and mini-SSPedi), proxy-report (proxy-SSPedi), and structured dyadic-report (co-SSPedi). The objective was to compare co-SSPedi scores vs proxy-report (proxy-SSPedi) and self-report (SSPedi or mini-SSPedi) scores for pediatric patients receiving cancer treatments. METHODS: This was a single-center, randomized crossover study enrolling English-speaking dyads of pediatric patients with cancer or hematopoietic cell transplant recipients 4-18 years old and their guardians. Dyads were randomized to first complete the dyadic-report (co-SSPedi) or self-report (patients: SSPedi or mini-SSPedi) and proxy-report (guardians: proxy-SSPedi). Dyads then crossed over to the alternate approach. Primary analysis compared total SSPedi scores between randomized groups. RESULTS: We enrolled 420 dyads that were randomized to co-SSPedi first (n = 213) or proxy-SSPedi and self-report SSPedi first (n = 207). Mean total SSPedi scores (± standard deviation) were co-SSPedi (9.6 ± 7.1), proxy-SSPedi (9.7 ± 7.5; P = .950 for comparison vs co-SSPedi), and self-report SSPedi (9.7 ± 8.2; P = .981 for comparison vs co-SSPedi). Co-SSPedi scores were significantly different from proxy-SSPedi for feeling disappointed or sad, feeling cranky or angry, feeling tired, mouth sores, and changes in taste. Co-SSPedi scores were significantly different from self-report SSPedi scores for problems with thinking or remembering things, feeling tired, mouth sores, tingly or numb hands or feet, and diarrhea. CONCLUSIONS: Total co-SSPedi scores were not significantly different compared with proxy-report or self-report scores, although there were differences in specific symptom scores. If different reporter types are used during clinical implementation, specifying reporter type will be important. The study was registered at clinicaltrials.gov (NCT #05012917). Symptoms are common and frequently severely bothersome in pediatric patients with cancer and hematopoietic cell transplant (HCT) recipients (1). To measure the extent of bothersome symptoms, the Symptom Screening in Pediatrics Tool (SSPedi) suite of symptom assessment tools was developed for pediatric patients receiving cancer treatments and currently consists of multiple validated instruments. SSPedi was developed for self-report by patients 8-18 years of age (2,3). Mini-SSPedi was developed for self-report by patients 4 to 7 years of age (4). Proxy-SSPedi was developed for proxy-report by guardians of pediatric patients 2-18 years of age (5). These 3 instruments can be categorized as either self-report (SSPedi or mini-SSPedi) or proxy-report (proxy-SSPedi).

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
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 head0.047
GPT teacher head0.401
Teacher spread0.354 · 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 designRandomized trial
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

Citations7
Published2023
Admission routes1
Has abstractyes

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Same venueJNCI Journal of the National Cancer InstituteSame topicChildhood Cancer Survivors' Quality of LifeFrench-language works237,207