MétaCan
Menu
Back to cohort
Record W2767879202 · doi:10.1186/s10397-017-1024-2

N2O strongly prevents adhesion formation and postoperative pain in open surgery through a drug-like effect

2017· article· en· W2767879202 on OpenAlexaff
Roberta Corona, María Mercedes Binda, L.V. Adamyan, Victor Gomel, Philippe R. Koninckx

Bibliographic record

VenueGynecological Surgery · 2017
Typearticle
Languageen
FieldMedicine
TopicIntestinal and Peritoneal Adhesions
Canadian institutionsB.C. Women's Hospital & Health CentreUniversity of British Columbia
Fundersnot available
KeywordsMedicineAdhesionAnesthesiaSurgeryAbdominal surgeryChemistry

Abstract

fetched live from OpenAlex

Abstract Background Microsurgical tenets and peritoneal conditioning during laparoscopic surgery (LS) decrease postoperative adhesions and pain. For a trial in human, the strong beneficial effects of N 2 O needed to be confirmed in open surgery (OS). Results In a mouse model for OS, the effect of the gas environment upon adhesions was evaluated. Experiment I evaluated desiccation and the duration of exposure to CO 2 , N 2 O or CO 2 + 4%O 2 . Experiment II evaluated the dose-response curve of adding N 2 O to CO 2 . Experiment III compared humidified CO 2 + 10% N 2 O during LS and OS. In OS, 30- and 60-min exposure to non-humidified CO 2 caused mortality of 33 and 100%, respectively. Mortality was prevented by humidification, by dry N 2 O or dry CO 2 + 4%O 2 . Adhesions increased with the duration of exposure to CO 2 ( p < 0.0001) and decreased slightly by humidification or by the addition of 4% O 2 . N 2 O strongly decreased adhesions at concentrations of 5% or greater. With humidified CO 2 + 10% N 2 O, adhesion formation was similar in OS and LS. Conclusions The drug-like and strong beneficial effect of low concentrations of N 2 O is confirmed in OS.

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)0.003
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.057
GPT teacher head0.327
Teacher spread0.269 · 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.

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

Citations8
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueGynecological SurgerySame topicIntestinal and Peritoneal AdhesionsFrench-language works237,207