Evidence map›Paper›PMID 35063612›Full record

ArticleJournal of vascular surgery2022

Learning curve and proficiency metrics for transcarotid artery revascularization.

Brajesh K Lal, Minerva Mayorga-Carlin, Vikram Kashyap, William Jordan, Dipankar Mukherjee, Richard Cambria, Wesley Moore, Richard F Neville, Hans-Henning Eckstein, Shalini Sahoo and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of vascular surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
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

12 authors at 9 institutions in 2 countries.

Brajesh K LalDepartment of Vascular Surgery, University of Maryland, Baltimore, Md. Electronic address: blal@som.umaryland.edu.
Minerva Mayorga-CarlinDepartment of Vascular Surgery, University of Maryland, Baltimore, Md.
Vikram KashyapDivision of Vascular Surgery, University Hospitals Case Western Reserve University, Cleveland, Ohio.
William JordanDepartment of Vascular Surgery, The University of Alabama at Birmingham, Birmingham, Ala.
Dipankar MukherjeeDepartment of Vascular Surgery, Inova Fairfax Hospital, Fairfax, Va.
Richard CambriaDivision of Vascular Surgery, St Elizabeth's Medical Center, Boston, Mass.
Wesley MooreDivision of Vascular Surgery, University of California, Los Angeles, Los Angeles, Calif.
Richard F NevilleDepartment of Vascular Surgery, Inova Vascular, Falls Church, Va.
Hans-Henning EcksteinDepartment of Vascular Surgery, Technical University of Munich, Munich, Germany.
Shalini SahooDepartment of Vascular Surgery, University of Maryland, Baltimore, Md.
Sumaira MacdonaldDepartment of Vascular Surgery, Silk Road Medical, Sunnyvale, Calif.
John D SorkinDepartment of Medicine, University of Maryland, Baltimore, Md.
University of Maryland, Baltimore · USInova Fairfax Hospital · USInova Health System · USSilk Road Medical (United States) · USSt. Elizabeth's Medical Center · USTechnical University of Munich · DEUniversity Hospitals of Cleveland · USUniversity of Alabama at Birmingham · USUniversity of California, Los Angeles · US

Funding

CREST-2 Clinical Coordinating CenterU01NS080168 · NINDS · MAYO CLINIC JACKSONVILLE · PI Thomas G Brott, JAMES F MESCHIA · 2014 to 2026
$56.3M
University of Maryland Claude D. Pepper Older Americans Independence Center (UM-OAIC)P30AG028747 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI Stephen L. Seliger · 2006 to 2026
$28.9M
Research BaseP30DK072488 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI MITCHELL, BRAXTON D, TAYLOR, SIMEON I. · 2005 to 2019
$17.3M
Healthy Aging Neighborhoods of Diversity Across LifespanZ01AG000513 · NIA · NATIONAL INSTITUTE ON AGING · PI EVANS, MICHELE K · 2001 to 2008
$6.8M
Carotid Revascularization and Medical Management for Asymptomatic CarotidStenosis Trial - Hemodynamics (CREST-H)R01NS097876 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI RONALD M LAZAR, DAVID SIGMUND LIEBESKIND · 2017 to 2026
$6.4M
CSRD VA I01 CX001621Intramural NIH HHS Z01 AG000513NIA NIH HHS P30 AG028747NIDDK NIH HHS P30 DK072488NINDS NIH HHS R01 NS097876NINDS NIH HHS U01 NS080168RRD VA I01 RX000995
6 · The paper itself

Abstract

backgroundWhen introduced to a new procedure, physicians improve their performance and reduce their procedural adverse event rates rapidly during the initial cases and then improvement slows, signaling that proficiency has been achieved. Determining when they have acquired proficiency has important implications for procedural innovation, education, credentialing, and patient safety. We analyzed the worldwide experience with transcarotid artery revascularization (TCAR), a hybrid approach to carotid revascularization, to identify the (1) procedural performance measures associated with clinical and technical adverse events; (2) target levels of performance measures that minimize adverse event rates; and (3) number of TCAR cases needed to achieve the target levels for the performance measures.

methodsThe patient, lesion, and physician characteristics were collected for each TCAR procedure performed by each physician worldwide in an international quality assurance database. Four procedural performance measures were recorded for each procedure: flow-reversal time, fluoroscopy time, contrast volume, and total skin-to-skin time. Composite clinical adverse events (ie, transient ischemic attack, stroke, myocardial infarction, death) and composite technical adverse events (ie, aborted procedure, conversion to surgery, bleeding, dissection, cranial nerve injury, device failure), occurring within 24 hours were also recorded. Correlations between each performance measure and the clinical and technical adverse event rates were computed. The inflection points in the performance measures were identified at which no further improvements occurred in the adverse event rates. Finally, the minimum number of TCAR cases required to achieve the target performance measure levels was computed.

resultsA total of 18,240 procedures performed by 1273 physicians were analyzed. Of the 18,240 patients, 34.9% were women and 62.5% were asymptomatic. The flow-reversal time correlated with clinical adverse events adjusted for age, sex, and symptomatic status (R

conclusionsThe flow-reversal time and skin-to-skin time are appropriate performance measures for establishing the level of expertise of physicians as they acquire skills to perform TCAR. A target time of ≤13.1 minutes for flow-reversal and 81 minutes for skin-to-skin time minimized the adverse event rates. Familiarity with the steps involved in performing TCAR was achieved after ≥15 cases, and minimizing clinical adverse events occurred after ≥26 cases.

Indexed as

Carotid StenosisEndovascular ProceduresStrokeBenchmarkingCarotid ArteriesFemaleHumansLearning CurveMaleRetrospective StudiesRisk FactorsStentsTime FactorsTreatment OutcomeCarotidLearning curveProficiencyTranscarotid revascularization

Identifiers

PMID35063612
PMCPMC11057007
OpenAlexW4205268898

What OpenQuestion holds

Textmetadata
LicenceTDM
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.