Evidence map›Paper›PMID 34617133›Full record

ArticleEmergency radiology2022

Scenarios to improve CT head utilization in the emergency department delineated by critical results reporting.

Long H Tu, Arjun K Venkatesh, Ajay Malhotra, Richard A Taylor, Kevin N Sheth, Howard P Forman, Reza Yaesoubi

Abstract read
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In one paragraph

Article in Emergency radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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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 at 1 institution in 1 country.

Long H TuDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA. long.tu@yale.edu.
Arjun K VenkateshDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT, USA.
Ajay MalhotraDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Richard A TaylorDepartment of Emergency Medicine, Yale School of Medicine, New Haven, CT, USA.
Kevin N ShethDepartment of Neurology, Yale School of Medicine, New Haven, CT, USA.
Howard P FormanDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Reza YaesoubiHealth Policy and Management, Yale School of Public Health, New Haven, CT, USA.
Yale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIncreasing use of advanced imaging in the emergency department (ED) has resulted in higher cost without better outcomes. Our goal was to evaluate the yield of CT head exams by scenario to guide efforts at improving patient selection.

methodsWe performed a retrospective study at an academic medical center over 4 years (1/1/2014-12/31/2017). The chief complaint, imaging order, and exam result text were obtained for all adult ED encounters. For the 50 most common chief complaints leading to CT head exams, the ratio of exams to total encounters and ratio of critical results to imaging studies were calculated. Significant difference in "yield" was assessed via binomial test.

resultsOver 708,145 adult ED encounters, 58,783 CT head exams were ordered, with an overall critical result yield of 8.0%. The three most common chief complaints had higher yield (p < 0.05): altered mental status (9.8%), fall (9.7%), and new headache (10.1%). Lower yield (p < 0.05) was found for 19 chief complaints: dizziness (6.2%), falls in patients > 65 years old (7.1%), syncope (5.3%), seizure with known epilepsy (4.8%), chest pain (3.7%), head injury (4.9%), headache re-evaluation (7.0%), alcohol intoxication (2.5%), fatigue (6.5%), headache-recurrent or in the setting of known migraines (5.2%), hypertension (4.4%), lethargy (5.8%), loss of consciousness (5.3%), migraine (3.2%), psychiatric evaluation (2.9%), near syncope (4.6%), drug problem (3.1%), symptomatically decreased blood sugar (3.2%), and suicidal (1.7%).

conclusionOur study provides a priority list of low yield scenarios of CT head use for improvement of patient selection.

Indexed as

Emergency Service, HospitalHeadAdultAgedHeadacheHumansRetrospective StudiesTomography, X-Ray ComputedBrainComputed tomographyCritical resultsEmergencyHeadUtilization

Identifiers

PMID34617133
OpenAlexW3203395112

What OpenQuestion holds

Textmetadata
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.