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Record W4322213242 · doi:10.14740/wjon1561

Adult Primary Retroperitoneal Lymphangioma: Updated Facts

2023· review· en· W4322213242 on OpenAlexvenueno aff
Subhi Mansour, Yoram Kluger, Safi Khuri

Bibliographic record

VenueWorld Journal of Oncology · 2023
Typereview
Languageen
FieldMedicine
TopicVascular Malformations and Hemangiomas
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLymphangiomaAsymptomaticLymphatic systemPresentation (obstetrics)RadiologyMagnetic resonance imagingPrimary tumorTherapeutic approachSurgeryGeneral surgeryCancerPathologyInternal medicineMetastasis

Abstract

fetched live from OpenAlex

Lymphangioma is a rare, benign tumor of the lymphatic system. It is believed to be a congenital malformation, when part of the lymphatic channels fail to connect to the main lymphatic system. Lymphangioma is a tumor of the pediatric age, with 50% of patients presenting at birth. The head and neck are the main affected sites (75%), while the retroperitoneal cavity is the least affected area, and comprises less than 1% of cases. Adult lymphangioma is an extremely rare tumor, and adult retroperitoneal lymphangioma (ARL) is even a rarer tumor. Over the last two decades, we have experienced a significant increase in reports published in the English literature discussing ARL. As reports have increased, several questions about previously known facts regarding this tumor arose: For years, it was known that ARL is usually an asymptomatic tumor which is incidentally found - is it a true claim? Is abdominal magnetic resonance imaging the radiological test of choice for diagnosis? What is the best therapeutic option? The main aim for this article is to review the current and old English literature concerning ARL, in order to collect data regarding demographic features, clinical presentation, imaging tests used for diagnosis, therapeutic options and follow-up. This in turn will give precise updated answers for the previous questions. In addition, it will raise awareness for the treating physician regarding the most effective approach for early diagnosis and best therapeutic option to be selected.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.922
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.066
GPT teacher head0.377
Teacher spread0.311 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations13
Published2023
Admission routes1
Has abstractyes

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