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Record W4391223510 · doi:10.1007/s12672-024-00861-0

Late effects of high-dose methotrexate in childhood cancer survivors: a Swiss single centre observational study

2024· article· en· W4391223510 on OpenAlexaff
Kevin Brunold, Maria Otth, Katrin Scheinemann

Bibliographic record

VenueDiscover Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsMcMaster UniversityMcMaster Children's Hospital
FundersSwiss Cancer Research Foundation
KeywordsMedicineCommon Terminology Criteria for Adverse EventsAdverse effectGuidelineCancerInternal medicinePediatricsOverweightObservational studyObesityPathology

Abstract

fetched live from OpenAlex

IMPORTANCE: Childhood cancer survivors (CCS) are at risk for late effects of different organ systems. The currently available screening recommendations for those treated with high-dose methotrexate (HD-MTX) are not uniform and the available literature is limited. OBJECTIVE: We aim to assess the prevalence and severity of late effects in CCS treated with HD-MTX at a single centre in Switzerland. We focus on organ systems defined at risk by the long-term follow-up care guidelines of the children's oncology group (COG), because this guideline has a holistic approach, is evidence based, and up to date. METHODS: ). RESULTS: We analysed 32 CCS with a median follow-up of 12.1 years. The endocrine system was most frequently affected by adverse events (69%), followed by the musculoskeletal (57%) and neuropsychological (38%) systems. The hepatobiliary (9%) and immunological (6%) systems were the least affected ones. Within the endocrine system, overweight/obesity was the most frequent and severe diagnosis. CONCLUSION: Late effects in CCS treated with HD-MTX are frequent. Our findings could add to the COG guidelines, where only screening for the musculoskeletal, neuropsychological, and hepatobiliary systems are recommended. More patient data need to be collected and analysed using the suggested standardised approach, to increase the quality of evidence for future screening recommendations.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.053
GPT teacher head0.374
Teacher spread0.321 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

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