MétaCan
Menu
Back to cohort
Record W2160439929 · doi:10.1016/s1010-7940(00)00319-5

Subtotal median sternotomy for heart surgery

2000· article· en· W2160439929 on OpenAlexaff
Idris Ali, Saud El-shanafi, Edwin Kinley, V. Clark

Bibliographic record

VenueEuropean Journal of Cardio-Thoracic Surgery · 2000
Typearticle
Languageen
FieldMedicine
TopicCardiac and Coronary Surgery Techniques
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineMedian sternotomySurgeryArteryBypass grafting

Abstract

fetched live from OpenAlex

OBJECTIVE: Many approaches for minimally invasive heart surgery are available. Although they have many advantages, inadequate exposure, mammary artery injury and special tool requirements are known problems. Subtotal median sternotomy (SMS) was developed to overcome such limitations. Comparing the SMS with the standard sternotomy (SS) is the purpose of this study. METHODS: SMS was used in 210 patients (group I) requiring coronary artery bypass grafting and or valvular surgery. This was compared with another 210 patients (group II) in which SS was used. The technical difficulties, incisional discomfort, wound infection, patient satisfaction and hospital stay are the comparison criteria. RESULTS: (1) SMS takes an average of 24 min longer, P<0.15. (2) Incisional discomfort graded (I 'least' to III 'greatest'), group I: (27 Grade I, 176 Grade II, seven Grade III). Group II: (21 Grade I, 183 Grade II, six Grade III), P<0.1. (3) Wound infection: two superficial, two deep in group I, four superficial and one deep in group II, P<0.06, (4) 99% satisfaction and 5.4 days mean hospital stay in group I, 63% and 7.1 days in group II, P<0.01 and <0.03, respectively. CONCLUSION: When comparing the SMS technique with the SS: (1) SMS has statistically significant better patient satisfaction; (2) can be very cost effective due to the short hospital stay and the absence of a need for special instruments.

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)0.012
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.789
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.287
Teacher spread0.257 · 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 designNot applicable
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

Citations6
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Journal of Cardio-Thoracic SurgerySame topicCardiac and Coronary Surgery TechniquesFrench-language works237,207