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Record W3155311802 · doi:10.1016/j.xjtc.2021.04.012

Commentary: Therapeutic plasma exchange in COVID-19 pediatric patients: Is there a role?

2021· letter· en· W3155311802 on OpenAlexaff
Rachel D. Vanderlaan

Bibliographic record

VenueJTCVS Techniques · 2021
Typeletter
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsExtracorporeal membrane oxygenationMedicineARDSAsymptomaticRespiratory failureCoronavirus disease 2019 (COVID-19)Hunter syndromeIntensive care medicineExtracorporealSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PediatricsLungDiseaseInternal medicine

Abstract

fetched live from OpenAlex

COVID-19 infection in pediatric patients is variable, ranging from asymptomatic to a multisystem inflammatory syndrome characterized by elevated cytokines and hyperimmune response. In a small subset of pediatric COVID-19 patients, particularly those with complex medical conditions and important comorbidities, severe respiratory failure can occur with deadly consequences. In the literature, the experience of extracorporeal membrane oxygenation (ECMO) in pediatric patients with severe acute respiratory distress syndrome (ARDS) due to COVID is largely confined to case reports, with some larger US and UK studies capturing outcomes of subsets of pediatric patients with COVID-19 requiring ECMO; however, data surrounding their ECMO course are limited.

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)0.002
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.043
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.032
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0030.005
Open science0.0040.002
Research integrity0.0430.037
Insufficient payload (model declined to judge)0.0100.007

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 head0.020
GPT teacher head0.251
Teacher spread0.231 · 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 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

Citations0
Published2021
Admission routes1
Has abstractyes

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