MétaCan
Menu
Back to cohort
Record W2095279860 · doi:10.1159/000083406

Does Rigid Bronchoscopy Induce Bacterial Translocation?

2005· article· en· W2095279860 on OpenAlexaff
Sibel Özkurt, Özkan Herek, Hande Atalay, İlknur Kaleli̇, C.O. Kara

Bibliographic record

VenueRespiration · 2005
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Response and Inflammation
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsMedicineBronchoscopyChromosomal translocationRigid bronchoscopyBacterial translocationSurgeryGenetics

Abstract

fetched live from OpenAlex

BACKGROUND: Although some reports suggest that bronchoscopy induces bacterial translocation (BT), the mechanisms of BT remain unclear. OBJECTIVE: We aimed to assess whether bronchoscopy or hypoxemia during bronchoscopy is responsible for BT. METHODS: We evaluated 24 rats divided into three subgroups: the control group (group 1, n = 8); the rigid bronchoscopy group (group 2, n = 8), and the group receiving bronchoscopy + mechanical ventilation (group 3, n = 8). Oxygen saturation (SaO(2)) was measured during the bronchoscopic procedure. Blood and tissue cultures from mesenteric lymph nodes (MLNs), liver, spleen and cecal contents were obtained 24 h following bronchoscopy. RESULTS: In group 2, SaO(2) was significantly lower than in groups 1 and 3 (p < 0.01). In group 2, BT significantly increased (6/8, 75%; p < 0.01 vs. group 1, and p < 0.05 vs. group 3). The main site of translocation was MLNs (6/8, 75%) in group 2, while BT was detected in only 1 rat in group 3 (1/8, 12.5%). CONCLUSION: Hypoxemia during rigid bronchoscopy resulted in intestinal mucosal damage in a rat model. Hypoxemia may have been the trigger for BT from the intestine following bronchoscopy.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.010
GPT teacher head0.248
Teacher spread0.238 · 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

Citations5
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueRespirationSame topicImmune Response and InflammationFrench-language works237,207