Evidence map›Paper›PMID 36694480›Full record

ArticleCureus2022

The Effect of an Iodinated Contrast Material Shortage on Ordering Patterns in the Emergency Department.

Barry Hahn, Jerel Chacko, Mukund Mohan, Kurien Mathews, Josh Greenstein

Abstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. A global contrast shortage: a descriptive study exploring IV contrast utilization and outcomes in trauma patients at a level I trauma center.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
    Article
  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

5 authors.

Barry HahnEmergency Medicine, Staten Island University Hospital, Staten Island, USA.
Jerel ChackoEmergency Medicine, Staten Island University Hospital, Staten Island, USA.
Mukund MohanEmergency Medicine, Staten Island University Hospital, Staten Island, USA.
Kurien MathewsEmergency Medicine, Staten Island University Hospital, Staten Island, USA.
Josh GreensteinEmergency Medicine, Staten Island University Hospital, Staten Island, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Iodinated contrast media (ICM) is essential to emergency department care in differentiating and delineating life-threatening pathologies. In May 2022, due to the COVID-19 outbreak, there was an unprecedented disruption in the manufacturing of iodinated contrast. The primary goal of this study was to describe the effects of an ICM shortage on the ordering patterns of emergency medicine physicians. Methods This was a retrospective, observational study with a pre-/post-test design. The study included two 28-day periods. All subjects who underwent a CT were included in the study. The subgroup of patients who underwent a repeat CT with ICM contrast within 1-24 hours was identified. Results During the pre- and post-implementation study periods, 4,574 and 3,973 CT studies were performed. The median length of stay (p=0.013) and time to first CT (p<0.001) both decreased during the post-implementation period. During the post-implementation period, more non-contrast CTs were ordered (p<0.001). During the post-implementation period, there was an increase in non-contrast studies followed by a repeat study with contrast (p=0.003). Conclusions A global ICM shortage resulted in a shift in the ordering patterns of Emergency Medicine (EM) physicians. More non-contrast CT scans were ordered. However, there was also an increase in repeat imaging with ICM material.

Indexed as

computed tomographycontrast materialemeregency medicinegeneral radiologymedication shortage

Identifiers

PMID36694480
PMCPMC9867569

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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.