MétaCan
Menu
Back to cohort
Record W2040157715 · doi:10.2995/jacsurg.23.924

Antibiotic prophylaxis for pulmonary resection of lung cancer

2009· article· en· W2040157715 on OpenAlexaff
Yutaka Takahashi, Takuya Terashi, Shinya Neri, Hiroshi Hamakawa, Teruya Komatsu

Bibliographic record

VenueThe Journal of the Japanese Association for Chest Surgery · 2009
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Diagnosis and Treatment
Canadian institutionsQueen Elizabeth II Health Sciences Centre
Fundersnot available
KeywordsMedicineAntibioticsLung cancerIntensive care medicineAntibiotic prophylaxisLungResectionPneumonectomySurgeryInternal medicineMicrobiologyBiology

Abstract

fetched live from OpenAlex

肺癌手術時において,予防的抗生剤を4日間投与した群(A群66例)と術当日のみに抗生剤投与した群(B群87例)を比較し,1日投与の効果・安全性を検討した.両群は患者背景,術前導入療法実施,術式・VATSの割合に差がなく,手術時間・出血量,術後ICU入室例数も差はみられなかった.1週間以上続く気漏はA/B群6/10例にみられ,平均ドレナージ期間はA/B群3.9/4.0日,いずれも両群間に有意差はなかった.術後合併症はA/B群で17/23例みられ,このうち術後肺炎はA/B群3/1例に生じ,起炎菌に感受性のある抗生剤を追加投与した.ドレーン留置延長による抗生剤の追加投与は両群ともに行わなかったが,創感染・膿胸は両群に発生しなかった.retrospectiveな検討だが,肺癌手術後の予防的抗生剤投与は術当日のみでも十分であることが示唆された.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.298
Teacher spread0.280 · 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 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

Citations0
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of the Japanese Association for Chest SurgerySame topicLung Cancer Diagnosis and TreatmentFrench-language works237,207