Evidence map›Paper›PMID 40265592›Full record

ArticleJournal of the American Heart Association2025

Acute Limb Ischemia After Percutaneous Coronary Intervention for Stable Coronary Artery Disease.

Monil Majmundar, Wan-Chi Chan, Vivek Bhat, Mohammed Abualenain, Kunal N Patel, Gokul Ramani, Gaurav Parmar, Kamal Gupta

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 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

8 authors.

Monil MajmundarDepartment of Cardiovascular Medicine University of Kansas Medical Center Kansas City KS USA.ORCID 0000-0002-5389-5878
Wan-Chi ChanDepartment of Cardiovascular Medicine University of Kansas Medical Center Kansas City KS USA.ORCID 0000-0001-6883-5686
Vivek BhatDepartment of Medicine SUNY Upstate Medical University Syracuse NY USA.ORCID 0000-0003-4363-1550
Mohammed AbualenainDepartment of Cardiovascular Medicine University of Kansas Medical Center Kansas City KS USA.ORCID 0009-0001-2668-7416
Kunal N PatelDepartment of Cardiovascular Medicine University of Kansas Medical Center Kansas City KS USA.ORCID 0000-0003-2712-0670
Gokul RamaniDepartment of Internal Medicine University of Kansas Medical Center Kansas City KS USA.ORCID 0000-0002-9659-3263
Gaurav ParmarSection of Vascular Medicine Massachusetts General Hospital Boston MA USA.ORCID 0000-0002-6170-4066
Kamal GuptaDepartment of Cardiovascular Medicine University of Kansas Medical Center Kansas City KS USA.ORCID 0000-0002-2440-9033

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDespite its severity, there is limited information on the incidence, predictors, and outcomes of acute limb ischemia (ALI) after percutaneous coronary interventions (PCIs) in stable coronary artery disease. METHODS AND

resultsWe included all patients undergoing PCI for stable coronary artery disease in the Nationwide Readmissions Database from 2016 to 2020, identifying them using appropriate

conclusionALI is an uncommon complication of PCI but is associated with a high risk of mortality and amputation. Peripheral artery disease is the strongest predictor of post-PCI ALI.

Indexed as

Coronary Artery DiseaseIschemiaPercutaneous Coronary InterventionPostoperative ComplicationsAcute DiseaseAgedAmputation, SurgicalDatabases, FactualEmbolectomyFemaleHospital MortalityHumansIncidenceMaleMiddle AgedPeripheral Arterial Diseaseamputationcomplicationsembolectomyperipheral artery disease

Identifiers

PMID40265592
PMCPMC12184235

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.