Evidence map›Paper›PMID 37181493›Full record

ArticleJournal of interventional cardiology2023

Practice Pattern Variation in Adoption of New and Evolving Percutaneous Coronary Intervention Procedures.

Diana Naranjo, Jacob Doll, Charles Maynard, Kristine Beaver, Aasthaa Bansal, Christian D Helfrich

Open access · goldAbstract read
In one paragraph

Article in Journal of interventional cardiology, 2023. 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 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. 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

6 authors at 3 institutions in 1 country.

Diana NaranjoInformatics, Decision-Enhancement and Analytic Sciences Center (IDEAS), VA Salt Lake City Health Care System, Salt Lake City, Utah, USA.ORCID https://orcid.org/0000-0002-1056-6177
Jacob DollHealth Services Research & Development (HSR&D), Seattle-Denver Center of Innovation (COIN) for Veteran-Centered Value-Driven Care, US Department of Veterans Affairs (VA) Puget Sound Health Care System, Seattle, WA, USA.ORCID https://orcid.org/0000-0002-1459-0262
Charles MaynardHealth Services Research & Development (HSR&D), Seattle-Denver Center of Innovation (COIN) for Veteran-Centered Value-Driven Care, US Department of Veterans Affairs (VA) Puget Sound Health Care System, Seattle, WA, USA.ORCID https://orcid.org/0000-0002-1644-7814
Kristine BeaverHealth Services Research & Development (HSR&D), Seattle-Denver Center of Innovation (COIN) for Veteran-Centered Value-Driven Care, US Department of Veterans Affairs (VA) Puget Sound Health Care System, Seattle, WA, USA.ORCID https://orcid.org/0000-0001-5206-5680
Aasthaa BansalDepartment of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, WA, USA.ORCID https://orcid.org/0000-0001-5507-2640
Christian D HelfrichHealth Services Research & Development (HSR&D), Seattle-Denver Center of Innovation (COIN) for Veteran-Centered Value-Driven Care, US Department of Veterans Affairs (VA) Puget Sound Health Care System, Seattle, WA, USA.
United States Department of Veterans Affairs · USUniversity of Utah · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Assess factors contributing to variation in the use of new and evolving diagnostic and interventional procedures for percutaneous coronary intervention (PCI). Background: Evidence-based practices for PCI have the potential to improve outcomes but are variably adopted. Finding possible drivers of PCI procedure-use variability is key for efforts aimed at establishing more uniform practice. Methods: Veterans Affairs Clinical Assessment, Reporting, and Tracking Program data were used to estimate a proportion of variation attributable to hospital-, operator-, and patient-level factors across (a) radial arterial access, (b) intravascular imaging/optical coherence tomography, and (c) atherectomy for PCI. We used random-effects models with hospital, operator, and patient random effects. Overlap between levels generated cumulative variability estimates greater than 100%. Results: A total of 445 operators performed 95,391 PCI procedures across 73 hospitals from 2011 to 2018. The rates of all procedures increased over this time. 24.45% of variability in the use of radial access was attributable to the hospital, 53.04% to the operator, and 57.83% to patient-level characteristics. 9.06% of the variability in intravascular imaging use was attributable to the hospital, 43.92% to the operator, and 21.20% to the patient. Lastly, 20.16% of the variability in use of atherectomy was attributed to the hospital, 34.63% to the operator, and 57.50% to the patient. Conclusions: The use of radial access, intracoronary imaging, and atherectomy is influenced by patient, operator, and hospital factors, but patient and operator-level effects predominate. Efforts to increase the use of evidence-based practices for PCI should consider interventions at these levels.

Indexed as

Percutaneous Coronary InterventionArteriesHumansTime FactorsTomography, Optical CoherenceTreatment Outcome

Identifiers

PMID37181493
PMCPMC10175015
OpenAlexW4368342590

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.