Evidence map›Paper›PMID 35511340›Full record

ReviewCardiovascular intervention and therapeutics2022

Chronic kidney disease and transcatheter aortic valve implantation.

Yuya Adachi, Masanori Yamamoto, OCEAN-SHD family

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cardiovascular intervention and therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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 1 institution in 1 country.

Yuya AdachiDepartment of Cardiology, Toyohashi Heart Center, 21-1 Gobutori, Oyamachyo, Toyohashi, Aichi, 441-8530, Japan.
Masanori YamamotoDepartment of Cardiology, Toyohashi Heart Center, 21-1 Gobutori, Oyamachyo, Toyohashi, Aichi, 441-8530, Japan. masa-nori@nms.ac.jp.
OCEAN-SHD family
Toyohashi Heart Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcatheter aortic valve implantation (TAVI) is an established treatment option for patients with severe aortic stenosis. Patients with aortic stenosis have a higher prevalence of chronic kidney disease (CKD). CKD is generally associated with an increased risk of mortality, cardiovascular events, and readmission for heart failure; this supports the concept of a cardio-renal syndrome (CRS). CRS encompasses a spectrum of disorders of the heart and kidneys, wherein dysfunction in one organ may cause dysfunction in the other. TAVI treatment is expected to break this malignant cycle of CRS and improve cardio-renal function after the procedure. However, several reports demonstrate that patients with CKD have been associated with poor outcomes after the procedure. In addition, TAVI treatments for patients with advanced CKD and those with end-stage renal disease on hemodialysis are considered more challenging. Adequate management to preserve cardio-renal function in patients undergoing TAVI may reduce the risk of cardio-renal adverse events and improve the long-term prognosis. The current comprehensive review article aims to assess the prognostic impact of CKD after TAVI and seek optimal care in patients with CKD even after successful TAVI.

Indexed as

Aortic Valve StenosisRenal Insufficiency, ChronicTranscatheter Aortic Valve ReplacementAortic ValveHumansPrognosisRisk FactorsTreatment OutcomeChronic kidney diseaseTranscatheter aortic valve implantation

Identifiers

PMID35511340
OpenAlexW4229005423

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.