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Record W2045820154 · doi:10.1177/1708538114547755

Surgical management of leiomyosarcoma of the inferior vena cava

2014· article· en· W2045820154 on OpenAlexaff
Hua Jiang, Youxin Wang, Bing Li, Yanyong Jiang, Chengli Miao, Daixiang Liao, Ronghua Zhao, Chenghua Luo

Bibliographic record

VenueVascular · 2014
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsUniversity of Saskatchewan
FundersBeijing Higher Education Young Elite Teacher ProjectNational Natural Science Foundation of China
KeywordsMedicineInferior vena cavaLeiomyosarcomaRadiologyVena cavaSurgery

Abstract

fetched live from OpenAlex

The optimal surgical management of patients with leiomyosarcoma of inferior vena cava remains a controversy. From 1975 and 2009, five patients with leiomyosarcoma of inferior vena cava were treated at the Chinese PLA General Hospital and Beijing Shijitan Hospital. The age ranged 39-61 years and the duration of symptoms ranged from 18 to 36 months. Abdominal and back pain are the most common complaints. A combination of various imaging modalities is essential for treatment planning. R0, R1, R2, and biopsy only were accomplished in 2, 1, 1, and 1 case, respectively. Combined resections included inferior vena cava, right kidney, adrenal gland, psoas, colon, duodenal, gallbladder, liver, and/or aorta, without inferior vena cava reconstruction. No inferior vena cava-related postoperative complication was seen in our series.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.246
Teacher spread0.235 · 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

Citations20
Published2014
Admission routes1
Has abstractyes

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