Evidence map›Paper›PMID 35771601›Full record

ArticleJMIR formative research2022

The Association Between the Use of Low-Slice Computed Tomography Machines and Downstream Care: Comparative Study of 16-Slice and 64-Slice Computed Tomography Angiography.

Adam C Powell, James W Long, Uday U Deshmukh, Jeffrey D Simmons

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 89% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Adam C PowellHealthHelp, Houston, TX, United States.ORCID https://orcid.org/0000-0001-6519-3120
James W LongHumana Inc, Louisville, KY, United States.ORCID https://orcid.org/0000-0003-2491-0132
Uday U DeshmukhHealthHelp, Houston, TX, United States.ORCID https://orcid.org/0000-0002-4271-0874
Jeffrey D SimmonsHumana Inc, Louisville, KY, United States.ORCID https://orcid.org/0000-0002-7428-6940
Humana (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough computed tomography (CT) studies on machines with more slices have reported higher positive and negative predictive values, the impact of using low-slice (16-slice) CT machines on downstream testing has not been well studied. In community outpatient settings, low-slice CT machines remain in use, although many hospitals have adopted higher-slice machines.

objectiveThis study examines the association between the use of low-slice CT machines and downstream invasive testing in the context of the CT angiography of the neck.

methodsIncluded health insurance claims pertained to adults with commercial or Medicare Advantage health plans who underwent the CT angiography of the neck. Site certification data were used to assign counts of slices to claims. Claims that were made in the 60 days after CT were examined for cervicocerebral angiography. The association between the number of slices and cervicocerebral angiography was evaluated by using a chi-square test and multivariate logistic regression.

resultsClaims for 16-slice CT had a 5.1% (33/641) downstream cervicocerebral angiography rate, while claims for 64-slice CT had a 3.1% (35/1125) rate, and a significant difference (P=.03) was observed. An analysis that was adjusted for patient demographics also found a significant relationship (odds ratio 1.64, 95% CI 1.00-2.69; P=.047).

conclusionsThe use of low-slice CT machines in the community may impact the quality of care and result in more downstream testing.

Indexed as

angiographycervicocerebral angiographycomputed tomographycomputed tomography angiography of the neckcomputed tomography machinediagnostic imagingdownstream testinginvasiveinvasive testinglow-slice computed tomographymachineneckobsolescenceoutpatienttestingtomography

Identifiers

PMID35771601
PMCPMC9284351
OpenAlexW4283739265

What OpenQuestion holds

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LicenceCC BY
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.