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Record W2137899334 · doi:10.1093/ejcts/ezu283

Reply to Lobo Filho<i>et al.</i>

2014· letter· en· W2137899334 on OpenAlexaffabout
Nicolas Noiseux, Carl Chartrand‐Lefebvre, Samer Mansour, Louis‐Mathieu Stevens

Bibliographic record

VenueEuropean Journal of Cardio-Thoracic Surgery · 2014
Typeletter
Languageen
FieldMedicine
TopicCardiac and Coronary Surgery Techniques
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsResearch centreHumanitiesPolitical scienceLibrary scienceArt

Abstract

fetched live from OpenAlex

We would like to thank professor Lobo Filho et al. [ 1 ] for the interest in our manuscript [ 2 ] presenting an alternative to conventional coronary artery bypass grafting (CABG) involving a composite-sequential graft to bypass the anterolateral coronary artery territory. Current practice guidelines strongly recommend using the left internal mammary artery (LIMA) to bypass the left anterior descending artery (LAD). The use of composite grafts allows reducing the need for aortic manipulations and associated stroke risk while still providing complete revascularization. In this context, we developed a new strategy using the LIMA for blood inflow and a saphenous vein bridge (SVB) (LIMA-SVB) to distribute the LIMA blood almost directly to the LAD but also to other anterolateral coronary targets such as diagonals, ramus inter-medius or high first obtuse marginal branches. In this technique, a short saphenous vein graft (SVG) is anastomosed to the LAD and the other anterolateral coronary arteries, and the LIMA is connected to the roof of the SVB just above the SVG-LAD anastomosis. This simple strategy is useful in several patients as it is associated with numerous advantages: easy-going off-pump CABG, limiting the length of the SVG required, ease of performing a direct SVG anastomosis to the LAD, increased blood flow in the LIMA pedicle, and favourable clinical and radiological outcomes [ 2 ]. As mentioned by Lobo Filho et al. [ 3 ], we also believe that the use of an SVG in combination with the LIMA could improve the long-term patency of the SVG. As suggested [ 3 , 4 ], we believe that the use of a valveless SVG may improve the patency of the conduit. Since the instauration of the LIMA-SVG technique by our team, we do pay attention to the choice of the SVG segment to be used in the LIMA-SVB. We believe that a valveless segment is preferable, and the diameter of the SVG should match the LIMA as closely as possible. In the ongoing prospective-randomized clinical trial AMI-PONT (ClinicalTrials.gov NCT01585285 [ 5 ], CIHR funded), we are assessing whether the LIMA-SVB patency is not inferior to the conventional CABG strategy combining a separated LIMA graft to the LAD and an SVG to the other coronary artery in the anterolateral territory. To avoid the risk of competitive flow that can jeopardize the LIMA-SVB patency, we require a significant stenosis of >70% of all the native coronaries connected to the LIMA-SVB. Intraoperative blood flow is measured quantitatively with the MediStim Flowmeter (Medtronic, MN, USA) in the LIMA pedicle with and without temporary occlusion of the SVB, and in the SVG itself. We found the graft flow in the LIMA pedicle to be higher in the LIMA-SVB compared with the LIMA-LAD alone [ 2 ]. If the venous segment is patent and there is no competitive flow, the sum of the measured flow into the SVB and the LIMA when the SVB is occluded should be similar to the flow in the LIMA pedicle without occlusion of the SVB. Moreover, during graft patency assessment by cardiac computed tomography angiography, we are also recording the presence of valves, if any, in the short venous segment used in the LIMA-SVB. Conflict of interest: none declared.

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)0.002
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.036
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0030.004
Open science0.0020.001
Research integrity0.0360.024
Insufficient payload (model declined to judge)0.0060.006

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 head0.032
GPT teacher head0.291
Teacher spread0.259 · 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 designNot applicable
Domainnot available
GenreCommentary

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".

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Citations0
Published2014
Admission routes2
Has abstractyes

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