Evidence map›Paper›PMID 32886120›Full record

ArticleJAMA network open2020

Trends in Low-Value Carotid Imaging in the Veterans Health Administration From 2007 to 2016.

Timothy S Anderson, Samuel Leonard, Alysandra J Zhang, Erin Madden, Danielle Mowery, Wendy W Chapman, Salomeh Keyhani

Abstract read
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Interruptive Electronic Alerts for Choosing Wisely Recommendations: A Cluster Randomized Controlled Trial.Journal of the American Medical Informatics Association : JAMIA · 2022
    Trial
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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

7 authors.

Timothy S AndersonDivision of General Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Samuel LeonardNorthern California Institute of Research and Education, San Francisco.
Alysandra J ZhangNorthern California Institute of Research and Education, San Francisco.
Erin MaddenNorthern California Institute of Research and Education, San Francisco.
Danielle MoweryDepartment of Bioinformatics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia.
Wendy W ChapmanUniversity of Melbourne, Melbourne, Australia.
Salomeh KeyhaniDivision of General Internal Medicine, Department of Medicine, University of California, San Francisco.

Funding

Impact of Intensive Blood Pressure Treatment on Clinical Outcomes of Hospitalized Older AdultsR03AG064373 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI ANDERSON, TIMOTHY S · 2019 to 2020
$274k
NIA NIH HHS L30 AG060493NIA NIH HHS R03 AG064373
6 · The paper itself

Abstract

Importance: As part of the Choosing Wisely campaign, primary care, surgery, and neurology societies have identified carotid imaging ordered for screening, preoperative evaluation, and syncope as frequently low value. Objective: To determine the changes in overall and indication-specific rates of carotid imaging following Choosing Wisely recommendations. Design, Setting, and Participants: This serial cross-sectional study compared annual rates of carotid imaging before Choosing Wisely recommendations (ie, 2007 to 2012) and after (ie, 2013 to 2016) among adults receiving care in the Veterans Health Administration (VHA) national health system. Data analysis was performed from April 10, 2019, to November 27, 2019. Exposures: Release of the Choosing Wisely recommendations. Main Outcomes and Measures: Annual rates of overall imaging, imaging ordered for stroke workup, imaging ordered for low-value indications (ie, screening owing to carotid bruit, preoperative evaluation, and syncope). Indications were identified using a text lexicon algorithm based on electronic health record review of a stratified random sample of 1000 free-text imaging orders. The subsequent performance of carotid procedures within 6 months after carotid imaging was assessed. Results: Between 2007 and 2016, 809 071 carotid imaging examinations were identified (mean [SD] age of patients undergoing imaging, 69 [10] years; 776 632 [96%] men), of which 201 467 images (24.9%) were ordered for low-value indications (67 064 [8.2%] for carotid bruit, 25 032 [3.1%] for preoperative evaluation, and 109 400 [13.5%] for syncope), 257 369 (31.8%) for stroke workup, and 350 235 (43.3%) for other indications. Imaging for carotid bruits declined across the study period while there was no significant change in imaging for syncope or preoperative evaluation. Compared with the 6 years before, during the 4 years following Choosing Wisely recommendations, there was no change in the trend for syncope, a small decline in preoperative imaging (post-Choosing Wisely trend, -0.1 [95% CI, -0.1 to <-0.1] images per 10 000 veterans), and a continued but less steep decline in imaging for carotid bruits (post-Choosing Wisely trend, -0.3 [95% CI, -0.3 to -0.2] images per 10 000 veterans). During the study period, 17 689 carotid procedures were identified, of which 3232 (18.3%) were preceded by carotid imaging ordered for low-value indications. Conclusions and Relevance: These findings suggest that Choosing Wisely recommendations were not associated with a meaningful change in low-value carotid imaging in a national integrated health system. To reduce low-value testing and utilization cascades, interventions targeting ordering clinicians are needed to augment the impact of public awareness campaigns.

Indexed as

Diagnostic Screening ProgramsUltrasonographyAgedCarotid ArteriesFemaleHumansMaleMedical OveruseOutcome Assessment, Health CarePatient Acceptance of Health CarePatient SelectionPreoperative CareStrokeSyncopeUnited StatesVeterans Health

Identifiers

PMID32886120
PMCPMC7489844

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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.