Evidence map›Paper›PMID 34648574›Full record

ArticlePloS one2021

Differences in the gray-to-white matter ratio according to different computed tomography scanners for outcome prediction in post-cardiac arrest patients receiving target temperature management.

Jae Hun Oh, Seung Pill Choi, Jong Ho Zhu, Soo Hyun Kim, Kyu Nam Park, Chun Song Youn, Sang Hoon Oh, Han Joon Kim, Sang Hyun Park

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Jae Hun OhDepartment of Emergency medicine, College of Medicine, The Catholic University of Korea, Eunpyeong St. Mary's Hospital, Seoul, Republic of Korea.ORCID 0000-0003-4558-2596
Seung Pill ChoiDepartment of Emergency medicine, College of Medicine, The Catholic University of Korea, Eunpyeong St. Mary's Hospital, Seoul, Republic of Korea.
Jong Ho ZhuDepartment of Emergency medicine, College of Medicine, The Catholic University of Korea, Eunpyeong St. Mary's Hospital, Seoul, Republic of Korea.
Soo Hyun KimDepartment of Emergency medicine, College of Medicine, The Catholic University of Korea, Eunpyeong St. Mary's Hospital, Seoul, Republic of Korea.
Kyu Nam ParkDepartment of Emergency medicine, College of Medicine, The Catholic University of Korea, Seoul St. Mary's Hospital, Seoul, Republic of Korea.
Chun Song YounDepartment of Emergency medicine, College of Medicine, The Catholic University of Korea, Seoul St. Mary's Hospital, Seoul, Republic of Korea.
Sang Hoon OhDepartment of Emergency medicine, College of Medicine, The Catholic University of Korea, Seoul St. Mary's Hospital, Seoul, Republic of Korea.ORCID 0000-0002-5549-1148
Han Joon KimDepartment of Emergency medicine, College of Medicine, The Catholic University of Korea, Seoul St. Mary's Hospital, Seoul, Republic of Korea.
Sang Hyun ParkDepartment of Emergency medicine, College of Medicine, The Catholic University of Korea, Yeouido St. Mary's Hospital, Seoul, Republic of Korea.
Catholic University of Korea · KRThe Catholic University of Korea Seoul St. Mary's Hospital · KRThe Catholic University of Korea Yeouido St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gray-to-white matter ratio (GWR) has been used to identify brain damage in comatose patients after cardiac arrest. However, Hounsfield units (HUs), the measurement of brain density on computed tomography (CT) images, may vary depending on the machine type or parameter. Therefore, differences in CT scanners may affect the GWR in post-cardiac arrest patients. We performed a retrospective study on comatose post-cardiac arrest patients who visited the hospital from 2007 to 2017. Two CT, Lightspeed and SOMATOM, scanners were used. Two observers independently measured the HUs of the caudate nucleus, putamen, posterior internal capsule, and corpus callosum using regions of interest. We compared the GWR calculated from the HUs measured at different CT scanners. The analysis of different scanners showed statistically significant differences in the measured HUs and GWR. The HUs and GWR of Lightspeed were measured lower than SOMATOM. The difference between the two CT scanners was also evident in groups divided by neurological prognosis. The area under the curve of the receiver operating characteristic curve to predict poor outcomes of Lightspeed was 0.798, and the cut-off value for 100% specificity was 1.172. The SOMATOM was 0.855, and the cut-off value was 1.269. The difference in scanners affects measurements and performance characteristics of the GWR in post-cardiac arrest patients. Therefore, when applying the results of the GWR study to clinical practice, reference values for each device should be presented, and an integrated plan should be prepared.

Indexed as

AdultAgedArea Under CurveBody Temperature RegulationCardiopulmonary ResuscitationFemaleGray MatterHeart ArrestHumansMaleMiddle AgedPrognosisRetrospective StudiesROC CurveTomography, X-Ray ComputedTreatment Outcome

Identifiers

PMID34648574
PMCPMC8516299
OpenAlexW3205947694

What OpenQuestion holds

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LicenceCC BY
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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.