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Record W3097664586 · doi:10.14740/ijcp401

Elevated Lipase Associated With COVID-19 Possibly due to Acute Pancreatitis in a Pediatric Patient: A Case Report

2020· article· en· W3097664586 on OpenAlexvenueno aff
Shruthi Shekar, Neelam Sarwar, Mudit Kalia, Joseph Castellanos, J.S. Gill, Frances B. Pelliccia

Bibliographic record

VenueInternational Journal of Clinical Pediatrics · 2020
Typearticle
Languageen
FieldMedicine
TopicPancreatitis Pathology and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAcute pancreatitisPancreatitisAbdominal painComplicationCoronavirus disease 2019 (COVID-19)AbdomenGastroenterologyInternal medicineDiseaseRadiologyInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

As the global pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) advances, the challenge of understanding its wide spectrum of symptoms and sequelae continues to be a priority in the medical world. There are not many case reports on the atypical presenting features of coronavirus disease 2019 (COVID-19), especially in the pediatric population. Discussed here is a case of acute pancreatitis in a 14-year-old male who presented with abdominal pain without any other typical COVID-19 symptoms. Workup was significant for positive SARS-CoV-2 polymerase chain reaction (PCR), elevated lipase, and computed tomography of the abdomen and pelvis with oral and intravenous contrast showed an indistinct margin of the pancreatic tail and left upper quadrant ascites, supportive of early pancreatitis. Clinical and laboratory improvement was noted after treatment with bowel rest, intravenous fluids, and antibiotics. This case highlights the concern that acute pancreatitis may be a complication associated with COVID-19. Identifying its signs may enable earlier diagnosis and treatment. Int J Clin Pediatr. 2020;9(4):125-129 doi: https://doi.org/10.14740/ijcp401

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)0.020
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.020
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 integrity0.0000.001
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 head0.054
GPT teacher head0.395
Teacher spread0.341 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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