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Record W3023407631 · doi:10.14740/cr1046

Comparing Transcatheter Aortic Valve Replacement (AVR) With Surgical AVR in Lower Risk Patients: A Comprehensive Meta-Analysis and Systematic Review

2020· article· en· W3023407631 on OpenAlexvenueno aff
Muhammad Shayan Khan, Tanveer Mir, Waqas Ullah, Zain Ali, Owais Idris, Ghazal Khan, Mamoon Ur Rashid, Fnu Salman, Mobasser Mehmood, Syed Sohail Ali

Bibliographic record

VenueCardiology Research · 2020
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRelative riskValve replacementConfidence intervalInternal medicineStroke (engine)Aortic valve replacementStenosisCardiologyMeta-analysisSurgeryAcute kidney injury

Abstract

fetched live from OpenAlex

Background: Transcutaneous aortic valve replacement (TAVR) is a novel percutaneous procedure for severe aortic stenosis and has been recently approved by Food and Drug Administration in lower risk patients. We performed the first ever meta-analysis and literature review of clinical trials comparing both 30-day and 1-year outcomes in lower risk patients undergoing TAVR vs. surgical aortic valve replacement (SAVR, having Society of Thoracic Surgeons score < 4% or equivalent). Methods: Using predefined selection criteria as above, 68 articles were identified. Seven eligible articles were selected after extensive review. Primary effect outcomes were 30-day and 1-year all-cause mortality using risk ratio (RR) with significant P value of < 0.05. Results: A total of 4,859 subjects were included. Risk of 30-day all-cause mortality was 40.1% less in TAVR group, RR 0.59 (95% confidence interval (CI): 0.38 - 0.92, P = 0.02) with no significant heterogeneity. Six studies except Schymik et al also reported 1-year risk. This was, however, not statistically significant with a 21% decrease in the TAVR group, RR 0.79 (95% CI: 0.57 - 1.09, P = 0.15). Six studies reported 30-day risk of secondary outcomes. The risk of 30-day stroke was 36% less in TAVR group, although this was not statistically significant, RR 0.64 (95% CI: 0.38 - 1.9, P = 0.10). The risk of acute kidney injury (AKI) stage 2 and above was 56% less in post-TAVR patients, RR 0.43 (95% CI: 0.35 - 0.54, P < 0.001) with no heterogeneity. For vascular complications, RR was high in TAVR group 4.62 (95% CI: 1.42-15.18, P = 0.01). Significant heterogeneity was demonstrated though (I 2 = 81). The risks for permanent pacemaker (PPM) were also higher in the TAVR group, RR 3.30 (95% CI: 2.04 - 5.33, P < 0.001) and significant heterogeneity was observed. After removing Thyregod et al and Partner 3 trial from the analysis, heterogeneity was removed, but the RR was still high 3.21 (95% CI: 2.54 - 4.068, P < 0.001). Post-operative incidence of endocarditis among TAVR patients was low but not statistically significant. The 30-day risk for infective endocarditis was RR 0.67 (95% CI: 0.13 - 3.48, P = 0.63). The 1-year risk was similarly low but not significant, RR 0.73 (95% CI: 0.28 - 1.92, P = 0.53). Conclusions: Among low risk patients, TAVR was found to be superior in short-term all-cause mortality and 1-year stroke, a result that was statistically significant for TAVR and close to significance for stroke. TAVR patients were also less likely to have post-operative bleeding and AKI stage 2 and beyond. Post-operative incidence of endocarditis among TAVR patients was low but not statistically significant. However, the rates of PPM and vascular complications are higher in TAVR patients. The results of TAVR in low risk population are thus extremely encouraging. However, the issue of long-term valve durability in this group needs further studies. Also, caution needs to be exercised while extending the indications to extremely young patients due to lack of enough studies. Cardiol Res. 2020;11(3):168-178 doi: https://doi.org/10.14740/cr1046

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)0.010
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.026
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0180.031
Bibliometrics0.0060.007
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.119
GPT teacher head0.409
Teacher spread0.291 · 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 designMeta-analysis
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
Published2020
Admission routes1
Has abstractyes

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