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Record W2020619947 · doi:10.1097/mph.0b013e3182172515

Subtotal Splenic Embolization is a Safe and Effective Treatment for Isolated Splenic Vascular Tumors Associated With Consumptive Coagulopathy

2011· article· en· W2020619947 on OpenAlexaff
Eric H. Raabe, Jeffrey R. Keefer, Sally E. Mitchell, Kelvin Hong, Marc DiFazio, John J. Strouse

Bibliographic record

VenueJournal of Pediatric Hematology/Oncology · 2011
Typearticle
Languageen
FieldMedicine
TopicTuberous Sclerosis Complex Research
Canadian institutionsPediatric Oncology Group
FundersNational Center for Research ResourcesNational Heart, Lung, and Blood Institute
KeywordsMedicineCoagulopathyConsumptive CoagulopathyEmbolizationSplenectomySpleenKasabach–Merritt syndromeComplicationSurgeryRadiologyInternal medicine

Abstract

fetched live from OpenAlex

Consumptive coagulopathy is a known complication of large vascular tumors. We describe 2 episodes of consumptive coagulopathy in young children, which were secondary to isolated splenic vascular tumors. One child was successfully treated by subtotal embolization of the spleen, whereas the second child required splenectomy after an initial embolization improved--but did not fully control--his consumptive coagulopathy.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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

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 head0.060
GPT teacher head0.326
Teacher spread0.266 · 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 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

Citations3
Published2011
Admission routes1
Has abstractyes

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Same venueJournal of Pediatric Hematology/OncologySame topicTuberous Sclerosis Complex ResearchFrench-language works237,207