MétaCan
Menu
Back to cohort

Long-term complications of neuroblastoma: A report from the Childhood Cancer Survivor Study

2007· article· en· W2259357916 on OpenAlexaff
Caroline Laverdière, Q. Liu, Yutaka Yasui, Paul C. Nathan, James G. Gurney, Marilyn Stovall, Lisa Diller, Nai‐Kong V. Cheung, Suzanne L. Wolden, Leslie L. Robison, Charles A. Sklar

Bibliographic record

VenueJournal of Clinical Oncology · 2007
Typearticle
Languageen
FieldMedicine
TopicNeuroblastoma Research and Treatments
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineHospital for Sick Children
Fundersnot available
KeywordsMedicineStandardized mortality ratioInternal medicineCancerCohortPediatricsIncidence (geometry)Cancer registryRadiation therapyMedical recordSurgery

Abstract

fetched live from OpenAlex

9544 Background: Neuroblastoma (NB) survivors can develop many complications from their treatment. We evaluated long-term morbidity and mortality in a large cohort of NB survivors. Procedures: Late effects data from 5-year NB survivors diagnosed between 1970–1986 enrolled in the Childhood Cancer Survivor Study (CCSS) were collected from self-administered questionnaires. 832 survivors and 3,899 siblings were included. Treatment data were abstracted from the medical records of all survivors. Late mortality, second malignant neoplasm (SMN), and chronic health conditions were analyzed in relation to treatment factors. Results: 42 survivors (6%) died more than 5 years after their diagnosis (standardized mortality ratio [SMR]:4.8; 95% CI 3.5–6.5). Causes of death included: disease recurrence (n=23), SMN (n=6) (SMR: 8.5; 95% CI 3.1–18.4), cardiac (n=1) (SMR 2.9; 95% CI 0.04–16.0), pulmonary (n=1) (SMR 4.8; 95% CI 0.1–26.5), external causes (n=4), other and unknown (n=11). 33 developed a SMN (standardized incidence ratio [SIR] 8.6; 95% CI 5.9–12.1): thyroid (n=7), renal (n=6), soft tissue sarcomas (n=3), acute myeloid leukemia (n=2), breast cancer (n=2) and other (n=13). Exposure to radiation therapy (RT) (p=0.003) and to VP-16 (p=0.04) were significant risk factors for SMN. 38% of the survivors reported at least one chronic health condition. Compared to siblings, they were more likely to report any chronic condition (risk ratio [RR] 14.7; 95% CI, 12.4–17.6). The most common prevalent conditions included: musculoskeletal (RR 49.8; 95% CI, 27.9–88.8), endocrine (RR 36.2; 95%CI 24.1–54.5), sensory (RR 21.5; 95%CI, 14.6–31.7) and neurological (RR 13.1; 95% CI 10.8–16). A multivariable Poisson regression analysis revealed the following associations: laminectomy (RR 8.6; 95% CI 3.5- 21) and chest RT (RR 2.8; 95% CI 1.3–6.5) as risk factors for scoliosis; age < 1 year at diagnosis (RR 1.9; 95% CI 1.4–2.6) and laminectomy (RR 3.5; 95% CI 2.4–5.3) for neurological complications; for hearing loss, increasing cumulative dose of cisplatin (for ≥ 600 mg/m2 RR 52.8; 95% CI 10.2–272.5); and RT to the neck (RR 6.6; 95% CI 2.4–18) for hypothyroidism. Conclusions: NB survivors are at risk of developing chronic conditions. Long-term surveillance is required for early detection of these complications. No significant financial relationships to disclose.

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)0.001
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.154
GPT teacher head0.525
Teacher spread0.371 · 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
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

Citations0
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical OncologySame topicNeuroblastoma Research and TreatmentsFrench-language works237,207