Evidence map›Paper›PMID 31171959›Full record

ArticleWorld journal of cardiology2019

Impact of gout on in-hospital outcomes of acute coronary syndrome-related hospitalizations and revascularizations: Insights from the national inpatient sample.

Rupak Desai, Tarang Parekh, Hemant Goyal, Hee Kong Fong, Dipen Zalavadia, Nanush Damarlapally, Rajkumar Doshi, Sejal Savani, Gautam Kumar, Rajesh Sachdeva

Open access · hybridAbstract read
In one paragraph

Article in World journal of cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. 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

10 authors at 6 institutions in 1 country.

Rupak DesaiDivision of Cardiology, Atlanta VA Medical Center, Decatur, GA 30033, United States.
Tarang ParekhDepartment of Health Administration and Policy, George Mason University, Fairfax, VA 22030, United States.
Hemant GoyalDepartment of Internal Medicine, Macon University School of Medicine, Macon, GA 31207, United States. doc.hemant@yahoo.com.
Hee Kong FongDepartment of Internal Medicine, University of Missouri-Columbia, Columbia, MO 65212, United States.
Dipen ZalavadiaDepartment of Internal Medicine, The Wright Center for Graduate Medical Education, Scranton, PA 18503, United States.
Nanush DamarlapallyDepartment of Health Sciences, Coleman College of Health Sciences, Houston, TX 77030, United States.
Rajkumar DoshiDepartment of Internal Medicine, University of Nevada School of Medicine, Reno, NV 89557, United States.
Sejal SavaniPublic Health, New York University, New York, NY 10010, United States.
Gautam KumarDivision of Cardiology, Atlanta VA Medical Center, Decatur, GA 30033, United States.
Rajesh SachdevaDivision of Cardiology, Atlanta VA Medical Center, Decatur, GA 30033, United States.
Atlanta VA Medical Center · USGeorge Mason University · USNew York University · USThe Wright Center for Graduate Medical Education · USUniversity of Missouri · USUniversity of Nevada, Reno · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have established a role of gout in predicting risk and prognosis of cardiovascular diseases. However, large-scale data on the impact of gout on inpatient outcomes of acute coronary syndrome (ACS)-related hospitalizations and post-revascularization is inadequate.

aimTo evaluate the impact of gout on in-hospital outcomes of ACS hospitalizations, subsequent healthcare burden and predictors of post-revascularization inpatient mortality.

methodsWe used the national inpatient sample (2010-2014) to identify the ACS and gout-related hospitalizations, relevant comorbidities, revascularization and post-revascularization outcomes using the ICD-9 CM codes. A multivariable analysis was performed to evaluate the predictors of post-revascularization in-hospital mortality.

resultsWe identified 3144744 ACS-related hospitalizations, of which 105198 (3.35%) also had gout. The ACS-gout cohort were more often older white males with a higher prevalence of comorbidities. Coronary artery bypass grafting was required more often in the ACS-gout cohort. Post-revascularization complications including cardiac (3.2%

conclusionAlthough gout was not independently associated with an increased risk of post-revascularization in-hospital mortality in ACS, it did increase post-revascularization complications.

Indexed as

Acute coronary syndromeCoronary artery bypass graftingGoutIn-hospital outcomesMyocardial infarctionPercutaneous coronary interventionRevascularizationSerum uric acidUnstable angina

Identifiers

PMID31171959
PMCPMC6536883
OpenAlexW2945938644

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.