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Record W4223595869 · doi:10.1097/mph.0000000000002455

Successful Use of Thrombolysis in an Extremely Low Birth Weight, Premature Infant With Aortic Thrombosis

2022· article· en· W4223595869 on OpenAlexaff
Nasrin Samji, Jennifer Twiss, Anthony K.C. Chan, Mihir D. Bhatt

Bibliographic record

VenueJournal of Pediatric Hematology/Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineThrombosisThrombolysisThrombusLow birth weightPerforationSurgeryDosingPediatricsCardiologyInternal medicinePregnancyMyocardial infarction

Abstract

fetched live from OpenAlex

BACKGROUND: Severe neonatal aortic thrombosis is rare but can lead to significant morbidity or death if inadequately treated. Thrombolytic therapy is indicated for thrombi which are life-threatening, organ-threatening, or limb-threatening, but dosing consensus has not been established. OBSERVATION: We report a case of a 700 g preterm neonate with spontaneous intestinal perforation who developed an occlusive aortic thrombus with signs of limb ischemia. He was treated successfully with tissue plasminogen activator without hemorrhagic complications. He was started at a dose of 0.06 mg/kg/h and received a maximum dose of 0.3 mg/kg/h. Long-term follow-up at 3 years and 3 months showed no negative sequelae. CONCLUSION: Alteplase may be considered in premature, extremely low-birth weight infants with careful assessment of risk and benefits, along with frequent surveillance and supportive care.

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.035
GPT teacher head0.308
Teacher spread0.273 · 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

Citations3
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Pediatric Hematology/OncologySame topicBlood Coagulation and Thrombosis MechanismsFrench-language works237,207