MétaCan
Menu
Back to cohort
Record W4404319460 · doi:10.1001/jama.2024.19585

Symptom Screening Linked to Care Pathways for Pediatric Patients With Cancer

2024· letter· en· W4404319460 on OpenAlexafffund
L. Lee Dupuis, Emily Vettese, Allison Grimes, Melissa Beauchemin, Lisa M. Klesges, Christina Baggott, Jenna Demedis, Catherine Aftandilian, David R. Freyer, Nicole Crellin‐Parsons, Etan Orgel, David R. Dickens, Kara M. Kelly, Wade Kyono, Alexandra Walsh, Farha Sherani, Daniel Cannone, Andrea D. Orsey, Allison A. King, Lolie C. Yu, Wendy Woods‐Swafford, Scott M. Bradfield, Michael Roth, Adam J. Esbenshade, Emi Caywood, Vibhuti Agarwal, Ramamoorthy Nagasubramanian, George Tomlinson, Lillian Sung

Bibliographic record

VenueJAMA · 2024
Typeletter
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsToronto General HospitalInstitute for Clinical Evaluative SciencesSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersNational Cancer InstituteCanadian Institutes of Health Research
KeywordsMedicinePsychological interventionRandomized controlled trialPediatric cancerPhysical therapyQuality of life (healthcare)CancerIntervention (counseling)MEDLINEHealth carePediatricsInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Importance: Pediatric patients with cancer commonly experience severely bothersome symptoms. The effectiveness of routine symptom screening with symptom feedback and symptom management care pathways is unknown. Objective: To determine whether thrice-weekly symptom screening with symptom feedback and management care pathways, compared with usual care, improves overall self-reported symptom scores measured by the Symptom Screening in Pediatrics Tool (SSPedi) in pediatric patients with cancer. Design, Setting, and Participants: This cluster randomized trial enrolled participants between July 2021 and August 2023 from 20 pediatric cancer centers in the US. Patients newly diagnosed with cancer aged 8 to 18 years receiving any cancer treatment were included. Twenty sites were randomized to provide symptom screening (n = 10) vs usual care (n = 10); 221 participants were enrolled at intervention sites and 224 participants at control sites. The date of final follow-up was October 18, 2023. Intervention: Symptom screening included providing thrice-weekly symptom screening prompts to participants, email alerts to the health care team, and locally adapted symptom management care pathway implementation. Main Outcomes and Measures: The primary outcome was self-reported total SSPedi score at week 8 (range, 0-60; higher scores indicate more bothersome). Secondary outcomes were Patient-Reported Outcomes Measurement Information System Fatigue score (mean [SD] score, 50 [10]; higher scores indicate more fatigue), Pediatric Quality of Life 3.0 Acute Cancer Module scores (range, 0-100; higher scores indicate better health), symptom documentation and interventions at week 8, and unplanned health care encounters. Results: A total of 445 participants (median [range] age, 14.8 [8.1-18.9] years; 58.9% males) were enrolled. The mean (SD) 8-week SSPedi score was 7.9 (7.2) in the symptom screening group vs 11.4 (8.7) in the usual care group. Symptom screening was associated with significantly better 8-week total SSPedi scores (adjusted mean difference, -3.8 [95% CI, -6.4 to -1.2]) and less bothersome individual symptoms, with 12 of 15 symptoms being statistically significantly reduced. There was no difference in fatigue or quality of life. The mean (SD) number of emergency department visits was 0.77 (1.12) in the symptom screening group and 0.45 (0.81) in the usual care group. There were significantly more emergency department visits in the symptom screening group (rate ratio, 1.72 [95% CI, 1.03-2.87]). Conclusions: Symptom screening with symptom feedback and symptom management care pathways was associated with improved symptom scores and increased symptom-specific interventions. Future work should integrate symptom screening into routine clinical care. Trial Registration: ClinicalTrials.gov Identifier: NCT04614662.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.096
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.027
GPT teacher head0.292
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.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations30
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueJAMASame topicChildhood Cancer Survivors' Quality of LifeFrench-language works237,207