Evidence map›Paper›PMID 35494964›Full record

ArticleCureus2022

Nitrates as a Marker of Multiple Co-morbidities and Increased Mortality in Patients Undergoing Percutaneous Coronary Intervention (PCI).

Neil Yager, Sunjeev Konduru, Mikhail Torosoff

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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.

Neil YagerCardiology, Albany Medical College, Albany, USA.
Sunjeev KonduruDepartment of Pharmacy, Albany Medical College, Albany, USA.
Mikhail TorosoffCardiology, Albany Medical College, Albany, USA.
Albany Medical Center Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Notwithstanding the guideline endorsement of various anti-anginal medications, there is a paucity of data on whether one anti-anginal regimen or medication is superior to another. It is also unknown how anti-anginal medications affect outcomes of elective percutaneous coronary intervention (PCI). To fill this knowledge gap, we investigated an association between commonly used anti-anginal medications and elective PCI outcomes in stable ischemic heart disease (SIHD) patients.  Methods Using the New York State's (NYS) PCI Reporting System, we reviewed data on 33,568 consecutive patients who underwent non-emergent PCI in 2015. The primary endpoint of this study was all-cause in-hospital mortality.  Results Regardless of the combination therapy of nitrates with any other non-nitrate anti-anginal therapy, including beta-adrenergic blockers (BB) and/or calcium channel blockers (CCB), nitrate treatment continued to be associated with significantly increased post-elective PCI mortality. Conclusions In this large, all-inclusive state-wide contemporary cohort study of SIHD patients, treatment with nitrates, but not beta-blockers, calcium channel blockers, or ranolazine, was associated with increased post-PCI mortality. Utilization of nitrate therapy is likely reflective of advanced disease burden rather than directly related to the specific medication intolerance. Additional studies investigating optimal anti-anginal medical therapy on PCI outcomes are warranted.

Indexed as

cad: coronary artery diseasecardio vascular diseasechronic stable anginaprimary percutaneous coronary intervention (pci)stable ischemic heart disease

Identifiers

PMID35494964
PMCPMC9038167
OpenAlexW4220925726

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.