Evidence map›Paper›PMID 38238099›Full record

ArticleAJNR. American journal of neuroradiology2024

Shift Volume Directly Impacts Neuroradiology Error Rate at a Large Academic Medical Center: The Case for Volume Limits.

Vladimir Ivanovic, Kenneth Broadhead, Yu-Ming Chang, John F Hamer, Ryan Beck, Lotfi Hacein-Bey, Lihong Qi

Abstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Shift Volumes.AJNR. American journal of neuroradiology · 2024
    Article
  8. A Public Health Perspective on Radiologists' Interpretation Volumes.AJNR. American journal of neuroradiology · 2024
    Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Vladimir IvanovicFrom the Department of Radiology, Section of Neuroradiology (V.I., J.F.H., R.B.), Medical College of Wisconsin, Milwaukee, Wisconsin Vladimir.ivanovic@yahoo.com.ORCID 0000-0002-8365-0468
Kenneth BroadheadDepartment of Statistics (K.B.), Colorado State University, Fort Collins, Colorado.ORCID 0000-0002-0900-242X
Yu-Ming ChangDepartment of Radiology, Section of Neuroradiology (Y.-M.C.), Beth Israel Deaconess Medical Center, Boston, Massachusetts.ORCID 0000-0003-2431-1164
John F HamerFrom the Department of Radiology, Section of Neuroradiology (V.I., J.F.H., R.B.), Medical College of Wisconsin, Milwaukee, Wisconsin.
Ryan BeckFrom the Department of Radiology, Section of Neuroradiology (V.I., J.F.H., R.B.), Medical College of Wisconsin, Milwaukee, Wisconsin.
Lotfi Hacein-BeyDepartment of Radiology, Section of Neuroradiology (L.H.-B.), University of California Davis Medical Center, Sacramento, California.ORCID 0000-0003-3255-5492
Lihong QiDepartment of Public Health Sciences (L.Q.), School of Medicine, University of California Davis, Davis, California.

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Gina M Dayton · 2002 to 2026
$84.9M
NCI NIH HHS P30 CA093373
6 · The paper itself

Abstract

background and purposeUnlike in Europe and Japan, guidelines or recommendations from specialized radiological societies on workflow management and adaptive intervention to reduce error rates are currently lacking in the United States. This study of neuroradiologic reads at a large US academic medical center, which may hopefully contribute to this discussion, found a direct relationship between error rate and shift volume. MATERIALS AND

methodsCT and MR imaging reports from our institution's Neuroradiology Quality Assurance database (years 2014-2020) were searched for attending physician errors. Data were collected on shift volume specific error rates per 1000 interpreted studies and RADPEER scores. Optimal cutoff points for 2, 3 and 4 groups of shift volumes were computed along with subgroups' error rates.

resultsA total of 643 errors were found, 91.7% of which were clinically significant (RADPEER 2b, 3b). The overall error rate (errors/1000 examinations) was 2.36. The best single shift volume cutoff point generated 2 groups: ≤ 26 studies (error rate 1.59) and > 26 studies (2.58; OR: 1.63,

conclusionsLower shift volumes yielded significantly lower error rates. The lowest error rates were observed with shift volumes that were limited to 19-26 studies. Error rates at shift volumes between 67-90 studies were 226% higher, compared with the error rate at shift volumes of ≤ 19 studies.

Indexed as

RadiologyEuropeHumansJapanMagnetic Resonance ImagingUnited States

Identifiers

PMID38238099
PMCPMC11288559

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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.