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Should a biopsy be obtained prior to surgery in children with pancreatic masses? A case report describing the difficult journey of an adolescent undergoing treatments for a rhabdomyosarcoma of the head of the pancreas following primary pancreaticoduodenectomy for a suspected solid pseudopapillary tumor

2022· preprint· en· W4220690634 on OpenAlexaff
Nicolas Prud'homme, Gary Galante, Harmeet Kaur, Marie‐Anne Bründler, Paul Beaudry, Douglas Strother

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsUniversity of CalgaryAlberta Children's HospitalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineRhabdomyosarcomaPancreaticoduodenectomyRadiation therapyPancreatic headSoft tissue sarcomaSarcomaSurgeryChemotherapyBiopsyPancreasRadiologySoft tissueGeneral surgeryInternal medicineResectionPathology

Abstract

fetched live from OpenAlex

Pancreaticoduodenectomy, a procedure rarely performed in children, can lead to significant morbidity. Rhabdomyosarcoma is the most frequent soft tissue sarcoma in pediatrics. Treatment consists of chemotherapy, while local control can be achieved through either surgery, radiotherapy or both. In this brief report, we describe the case of a 15-year-old adolescent who underwent a pancreaticoduodenectomy for a presumed solid pseudopapillary tumor of the head of the pancreas, ultimately diagnosed as a fusion-positive rhabdomyosarcoma. We review the ensuing severe side effects of the treatments, and discuss the role of biopsies for pancreatic tumors in pediatrics.

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0010.001

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 head0.074
GPT teacher head0.316
Teacher spread0.242 · 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 designCase report
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
Published2022
Admission routes1
Has abstractyes

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