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Record W4414446321 · doi:10.1101/2025.09.21.25336136

Transcatheter Aortic Valve Implantation in Patients with Chronic Kidney Disease: A Comprehensive Systematic Review and Qualitative Evidence Synthesis

2025· preprint· en· W4414446321 on OpenAlexaboutno aff
Smathi Piewluang, Pharittha Rattanapasert

Bibliographic record

VenuemedRxiv · 2025
Typepreprint
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsObservational studyRandomized controlled trialKidney diseaseSystematic reviewAcute kidney injuryIncidence (geometry)Renal replacement therapyRenal function

Abstract

fetched live from OpenAlex

Abstract Background Chronic kidney disease (CKD) is prevalent among patients undergoing transcatheter aortic valve implantation (TAVI) and has been associated with adverse clinical outcomes. However, previous systematic reviews have frequently pooled heterogeneous data with varying definitions and methodologies, potentially obscuring clinically meaningful differences. We conducted a comprehensive qualitative systematic review following PRISMA 2020 and Synthesis Without Meta-analysis (SWiM) guidelines to provide a structured synthesis of evidence without statistical pooling. Methods We systematically searched PubMed, Embase, Scopus, and Cochrane Central Register of Controlled Trials from January 2000 through September 2025 for randomized controlled trials and observational studies reporting clinical outcomes after TAVI in adults with CKD. Two independent reviewers performed study selection, data extraction, and quality assessment using the Cochrane Risk of Bias tool for randomized trials and the Newcastle-Ottawa Scale for observational studies. Primary outcomes included all-cause mortality, acute kidney injury (AKI), incident renal replacement therapy (RRT), renal function trajectory, and structural valve deterioration. We synthesized evidence by grouping studies according to outcome and CKD definition, summarizing effect direction and consistency across studies without meta-analysis. Results We identified 18 eligible studies encompassing more than 25,000 participants with CKD undergoing TAVI. The qualitative synthesis demonstrated that CKD was consistently associated with higher short-to intermediate-term mortality (relative risk range: 1.28-1.65 for 30-day mortality) and increased peri-procedural AKI incidence (odds ratio range: 1.89-2.44) compared to patients without CKD. The new RRT requirement was uncommon overall but occurred more frequently in CKD patients, particularly those with advanced disease. Despite higher procedural risks, multiple studies reported that the majority of CKD patients experienced stable or improved renal function post-TAVI, while early renal deterioration was a strong predictor of subsequent mortality. Comparative data showed no clear difference in structural valve deterioration between CKD and non-CKD patients over mid-term follow-up (≤5 years). Risk of bias was generally moderate for observational studies, while randomized trial subgroup analyses demonstrated a lower risk of bias. Sensitivity analyses stratified by CKD definition and valve generation supported the robustness of these findings. Conclusions This qualitative evidence synthesis indicates that while CKD confers elevated peri-procedural and mid-term risks following TAVI, particularly for mortality and AKI, renal function commonly stabilizes or improves post-procedure. These findings support the appropriateness of TAVI in carefully selected CKD patients, with emphasis on implementing renal-protective strategies and structured long-term follow-up protocols.

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)0.085
metaresearch head score (Gemma)0.197
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.085
Threshold uncertainty score0.450

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0850.197
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0110.012
Bibliometrics0.0250.019
Science and technology studies0.0010.002
Scholarly communication0.0050.005
Open science0.0030.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.024
GPT teacher head0.361
Teacher spread0.337 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations0
Published2025
Admission routes1
Has abstractyes

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