Evidence map›Paper›PMID 37827870›Full record

ArticleAmerican journal of surgery2024

Automatic 1-year follow-up appointment creation and reminders can improve long-term follow-up after carotid revascularization.

David P Stonko, Shira Mohammed, Diane Skojec, Joanna Rutkowski, Diana Call, Katherine G Verdi, Lillian L Tsai, James H Black, Bruce A Perler, Christopher J Abularrage and 3 more

Abstract read
In one paragraph

Article in American journal of surgery, 2024. 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
–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

1 citing paper in PubMed.

  1. 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

13 authors.

David P StonkoDivision of Vascular Surgery and Endovascular Therapy, Department of Surgery, The Johns Hopkins Hospital, Baltimore, MD, USA; Department of Surgery, The Johns Hopkins Hospital, Baltimore, MD, USA. Electronic address: dstonko1@jhmi.edu.
Shira MohammedDivision of Vascular Surgery and Endovascular Therapy, Department of Surgery, The Johns Hopkins Hospital, Baltimore, MD, USA. Electronic address: smoham14@jhmi.edu.
Diane SkojecDivision of Vascular Surgery and Endovascular Therapy, Department of Surgery, The Johns Hopkins Hospital, Baltimore, MD, USA. Electronic address: dskojec1@jhmi.edu.
Joanna RutkowskiDivision of Vascular Surgery and Endovascular Therapy, Department of Surgery, The Johns Hopkins Hospital, Baltimore, MD, USA. Electronic address: jrutkow1@jhmi.edu.
Diana CallDivision of Vascular Surgery and Endovascular Therapy, Department of Surgery, The Johns Hopkins Hospital, Baltimore, MD, USA. Electronic address: dcall@jhmi.edu.
Katherine G VerdiDepartment of Surgery, The Johns Hopkins Hospital, Baltimore, MD, USA. Electronic address: kgiuliano@jhmi.edu.
Lillian L TsaiDepartment of Surgery, The Johns Hopkins Hospital, Baltimore, MD, USA. Electronic address: ltsai2@jhmi.edu.
James H BlackDivision of Vascular Surgery and Endovascular Therapy, Department of Surgery, The Johns Hopkins Hospital, Baltimore, MD, USA. Electronic address: jhblack@jhmi.edu.
Bruce A PerlerDivision of Vascular Surgery and Endovascular Therapy, Department of Surgery, The Johns Hopkins Hospital, Baltimore, MD, USA. Electronic address: bperler@jhmi.edu.
Christopher J AbularrageDivision of Vascular Surgery and Endovascular Therapy, Department of Surgery, The Johns Hopkins Hospital, Baltimore, MD, USA. Electronic address: cabular1@jhmi.edu.
Ying Wei LumDivision of Vascular Surgery and Endovascular Therapy, Department of Surgery, The Johns Hopkins Hospital, Baltimore, MD, USA. Electronic address: ylum1@jhmi.edu.
Maya J SalamehJohns Hopkins Center for Vascular Medicine, Division of Cardiology, The Johns Hopkins Hospital, Baltimore, MD, USA; Cardiovascular Specialist of Frederick, Frederick, MD, USA. Electronic address: msalame1@jhmi.edu.
Caitlin W HicksDivision of Vascular Surgery and Endovascular Therapy, Department of Surgery, The Johns Hopkins Hospital, Baltimore, MD, USA. Electronic address: chicks11@jhmi.edu.

Funding

Risk Factors and Outcomes Associated with Late-Life Diabetic Peripheral NeuropathyK23DK124515 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI HICKS, CAITLIN WHITNEY · 2020 to 2024
$898k
NIDDK NIH HHS K23 DK124515
6 · The paper itself

Abstract

backgroundLong-term follow-up (LTFU) following carotid revascularization is important for post-surgical care, stroke risk optimization and post-market surveillance of new technologies.

methodsWe instituted a quality improvement project to improve LTFU rates for carotid revascularizations (primary outcome) by scheduling perioperative and one-year follow-up appointments at time of surgery discharge. A temporal trends analysis (Q1 2019 through Q1 2022), multivariable regression, and interrupted time series (ITS) were performed to compare pre-post intervention LTFU rates.

results269 consecutive patients were included (151 pre-intervention, 118 post-intervention; mean 71 ​± ​12 years-old, 39% female, 77% White). The overall LTFU rate improved (64.9%-78.8%; P ​= ​0.013) after the intervention. After controlling for patient factors, procedures performed after the intervention were associated with increased odds of being seen for 1-year follow-up (OR: 2.2 95%CI: 1.2-4.0). Quarterly ITS analysis corroborated this relationship (P ​= ​0.01).

conclusionsTime-of-surgery appointment creation and automated patient reminders can improve LTFU rates following carotid revascularizations.

Indexed as

Carotid StenosisEndarterectomy, CarotidEndovascular ProceduresStrokeAgedAged, 80 and overFemaleFollow-Up StudiesHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsStentsTreatment OutcomeCarotid revascularizationCEAQuality improvementTCARVQI

Identifiers

PMID37827870
PMCPMC10797636

What OpenQuestion holds

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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.