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Record W4381930879 · doi:10.1097/ms9.0000000000000809

Postesophagectomy chylothorax: a review of the risk factors, diagnosis, and management

2023· review· en· W4381930879 on OpenAlex
Mahdi Zarei, Majid Montazer, Sepehr Shakeri Bavil Oliyaei, Farid Jahanshahlou, Mohammad‐Salar Hosseini

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnnals of Medicine and Surgery · 2023
Typereview
Languageen
FieldMedicine
TopicLymphatic Disorders and Treatments
Canadian institutionsInstitute of Aging
Fundersnot available
KeywordsChylothoraxMedicineIntensive care medicineThoracic ductPleural effusionSurgeryChyleRespiratory distressEsophagectomyComplicationLymphatic systemInternal medicinePathology

Abstract

fetched live from OpenAlex

Chylothorax is a crucial postoperative complication of esophagectomy. Characterized by the leakage of chyle and lymphatic fluid through the thoracic duct, chylothorax could result in pleural effusion, respiratory distress, shortness of breath, cardiac arrhythmia, electrolyte imbalance, and malnutrition. Postesophagectomy chylothorax is associated with high morbidity and mortality, and its diagnosis and management require prompt and accurate identification of risk factors and treatment strategies. A variety of strategies are available to treat postesophagectomy chylothorax, ranging from conservative management to pharmacological, lymphangiographic, and surgical treatments. This study reviews the physio-anatomical basis, disease presentation, diagnostic methods, risk factors, and management options for postesophageal chylothorax, filling the literature gap, and highlighting the importance of early recognition and timely intervention in improving patient outcomes.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.602
Threshold uncertainty score0.678

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
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 head0.190
GPT teacher head0.408
Teacher spread0.217 · 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