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Record W2901727619 · doi:10.1186/s13019-018-0802-x

Post esophagectomy diaphragmatic hernia: a case report of a rare cause of acute respiratory distress

2018· article· en· W2901727619 on OpenAlexaff
Valérie Lamontagne, Valérie Lafrenière‐Bessi, Arthur Vieira, Éric Charbonneau, Paula A. Ugalde, Frédéric Jacques

Bibliographic record

VenueJournal of Cardiothoracic Surgery · 2018
Typearticle
Languageen
FieldMedicine
TopicCongenital Diaphragmatic Hernia Studies
Canadian institutionsUniversité LavalInstitut universitaire de cardiologie et de pneumologie de Québec
FundersCryoLifeCook MedicalEdwards Lifesciences
KeywordsMedicineCardiothoracic surgeryEsophagectomyCardiac surgeryDiaphragmatic breathingDiaphragmatic herniaRespiratory distressSurgeryAcute respiratory distressHerniaAbdominal surgeryGeneral surgeryLungEsophageal cancerInternal medicineCancerPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Diaphragmatic hernia is frequent among the elderly and is usually associated with mild chronic digestive and respiratory symptoms. CASE PRESENTATION: An elderly post-esophagectomy male patient, in the early postoperative period of cardiac surgery, presented with acute respiratory distress. An emergent surgery was performed to reduce a giant diaphragmatic herniation. CONCLUSIONS: An acute transhiatal herniation can cause serious respiratory impairment; surgical repair should be considered in select patients of cardiac surgery.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.027
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.029
GPT teacher head0.327
Teacher spread0.299 · 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 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

Citations0
Published2018
Admission routes1
Has abstractyes

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