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Record W4246823851 · doi:10.1177/229255031502300407

Ischemic bowel as a late sequela of abdominal compartment syndrome secondary to severe burn injury

2015· article· en· W4246823851 on OpenAlexaff
Ken Sun, Betty Jean Hancock, Sarvesh Logsetty

Bibliographic record

VenuePlastic Surgery · 2015
Typearticle
Languageen
FieldMedicine
TopicAbdominal Surgery and Complications
Canadian institutionsHealth Sciences CentreManitoba HealthChildren's Hospital Research Institute of ManitobaUniversity of Manitoba
Fundersnot available
KeywordsMedicineSurgeryAbdominal compartment syndromeResuscitationShort bowel syndromeTotal body surface areaSeptic shockBowel resectionLaparotomyBowel obstructionAnesthesiaAbdomenSepsisParenteral nutrition

Abstract

fetched live from OpenAlex

Abdominal compartment syndrome (ACS) is a known complication of the large-volume resuscitation that burn patients receive. Bowel ischemia has been theorized to occur in ACS but has yet to be described in the literature. The authors report an occurrence of late bowel obstruction related to ACS-associated bowel ischemia in a burn patient. A four-year-old previously well girl sustained 70% total body surface area burns with inhalation injury. The areas injured were the anterior neck, circumferential torso from neck to waist, left arm, left thigh and two-thirds of her right thigh. Fluid resuscitation was initially administered using the modified Parkland formula. Her transfer to the regional burn unit from a local hospital was complicated by early septic shock from a line infection, which increased her resuscitation fluid requirements. Infection ultimately led to multiple instances of ACS. Intervention with percutaneous drainage led to immediate improvement; however, the episodes of ACS resulted in a late small bowel obstruction secondary to stricture, requiring a laparotomy and bowel resection.

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)0.004
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
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 head0.036
GPT teacher head0.280
Teacher spread0.244 · 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

Citations8
Published2015
Admission routes1
Has abstractyes

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