Evidence map›Paper›PMID 40433130›Full record

ArticleCJC open2025

Readmission Mortality After TAVR: The Combined Effect of Teaching Hospital Status and Cause of Readmission.

Carlos E Diaz-Castrillon, Dustin Kliner, Derek Serna-Gallegos, Catalin Toma, Aj Conrad Smith, Hemal Gada, Amber Makani, Irsa Hasan, Takuya Ogami, Yisi Wang and 1 more

Abstract read
In one paragraph

Article in CJC open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Carlos E Diaz-CastrillonDivision of Cardiac Surgery, Department of Cardiothoracic Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Dustin KlinerDivision of Cardiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Derek Serna-GallegosDivision of Cardiac Surgery, Department of Cardiothoracic Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Catalin TomaDivision of Cardiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Aj Conrad SmithDivision of Cardiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Hemal GadaDivision of Cardiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Amber MakaniDivision of Cardiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Irsa HasanDivision of Cardiac Surgery, Department of Cardiothoracic Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Takuya OgamiDivision of Cardiac Surgery, Department of Cardiothoracic Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Yisi WangHeart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Ibrahim SultanDivision of Cardiac Surgery, Department of Cardiothoracic Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Variability in transcatheter aortic valve replacement (TAVR) readmission rates highlights the importance of assessing post-discharge outcomes. Understanding how teaching hospital status and causes of readmission influence mortality could optimise post-TAVR care. Methods: Using the National Readmissions Database, we identified 155,298 TAVR admissions from 2012 to 2020. We evaluated the interaction effect between teaching status and cause of readmission on readmission-related mortality through adjusted mixed-effects models. Results: Overall, 18.9% of patients (n = 29,479) had a nonelective readmission within 90 days, with no significant difference between teaching and nonteaching hospitals (19.3% vs 18.9%; Conclusion: Our findings indicate a differential association between teaching hospital status and 90-day readmission mortality, contingent on the cause of readmission. Further research, including the use of metrics such as failure to rescue, is needed to better understand the relationship between patient-level variables and teaching hospital status.

Identifiers

PMID40433130
PMCPMC12105757

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.