Evidence map›Paper›PMID 33972902›Full record

ArticleCureus2021

Predictors of Mortality in Patients With Transcatheter Aortic Valve Implantation: A National Inpatient Sample Database Analysis.

Arslan Inayat, Sakina Abbas, Fnu Salman

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Prognostic impact of cancer history in patients undergoing transcatheter mitral valve repair.Clinical research in cardiology : official journal of the German Cardiac Society · 2024
    Article
  4. Article
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

3 authors at 3 institutions in 2 countries.

Arslan InayatInternal Medicine, University at Buffalo, Catholic Health System, Buffalo, USA.
Sakina AbbasMedicine, Civil Hospital Karachi, Dow University of Health Sciences, Karachi, PAK.
Fnu SalmanMedicine, Mercy Health St. Vincent Medical Center, Toledo, USA.
Civil Hospital Karachi · PKMercy St. Vincent Medical Center · USUniversity at Buffalo, State University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction In recent decades, transcatheter aortic valve implantation (TAVI) has become a treatment of choice for aortic stenosis. The purpose of this study was to evaluate predictors of mortality in patients undergoing TAVI. Methods The National Inpatient Sample database from the year 2011 to 2018 was used to identify all patients undergoing TAVI during the study period. Results A total of 215,983 weighted hospitalizations for TAVI were included in the analysis. We report the following three main findings from our contemporary analysis of the NIS: (1) despite TAVI patients having a high comorbidity burden, mortality remains low at 2.2%, (2) in terms of baseline characteristics, end-stage renal disease, liver disease, congestive heart failure, chronic obstructive pulmonary disease, atrial fibrillation, and lung cancer remain significant predictors of mortality in patients undergoing TAVI, and (3) length of stay and cost of stay are significantly higher in patients who died during the hospitalization. Conclusion In conclusion, we report that at baseline, end-stage renal disease, liver disease, atrial fibrillation, and lung cancer are significant predictors of mortality in patients undergoing TAVI.

Indexed as

aortic stenosistavitavrtranscatheter aortic valve implantationtranscatheter aortic valve replacement

Identifiers

PMID33972902
PMCPMC8103979
OpenAlexW3140147740

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.