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Record W350443633 · doi:10.3233/npm-1367212

Left pulmonary artery sling: Difference in monochorionic monoamniotic twin presentation

2013· article· en· W350443633 on OpenAlexaff
J. Kaicker, Joey S.W. Kwong, Rejane Dillenburg, Tapas Mondal

Bibliographic record

VenueJournal of Neonatal-Perinatal Medicine · 2013
Typearticle
Languageen
FieldMedicine
TopicTracheal and airway disorders
Canadian institutionsMcMaster University Medical Centre
Fundersnot available
KeywordsMedicineStridorAirwayEsophagusLeft pulmonary arteryRespiratory distressPulmonary arteryVascular ringSurgeryDouble aortic archRight pulmonary arteryCardiologyAortic archAorta

Abstract

fetched live from OpenAlex

Pulmonary artery sling (PAS) is a rare congenital vascular anomaly where the left pulmonary artery (LPA) originates from the right pulmonary artery and passes between the trachea and esophagus. Limited literature has been published about PAS in twins. This report demonstrates two different outcomes in mono-mono twins presenting with PAS. Patients with PAS can experience sequelae including wheezing, stridor, atelectasis, or emphysema. Vascular rings occur when the anomalous LPA encircles the airway and esophagus, causing direct compression and respiratory distress. In the case of LPA sling, the sling does not encircle the airway and esophagus but acts as a cradle so the airway which is adjacent to the vessel is not directly compressed. Unfortunately, patients with LPA sling may become severely ill due to airway narrowing even when there is no compression of the adjacent airway. This is the more common presentation in PAS and was seen in Twin A whereas direct airway compression was seen in Twin B. PAS usually presents in patients during their first year of life and high clinical suspicion is important for diagnosis. As this case report demonstrates, presentations and outcomes can be variable in mono-mono twins with LPS and as a result, appropriate investigations should be offered with monitoring of respiratory compromise.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.820
Threshold uncertainty score0.861

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.017
GPT teacher head0.272
Teacher spread0.255 · 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.

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

Citations2
Published2013
Admission routes1
Has abstractyes

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