Evidence map›Paper›PMID 29445076›Full record

ArticleJournal of atherosclerosis and thrombosis2018

Clinical Utility of Carotid Ultrasonography in the Prediction of Cardiovascular Events in Patients with Diabetes: A Combined Analysis of Data Obtained in Five Longitudinal Studies.

Naoto Katakami, Tomoya Mita, Masahiko Gosho, Mitsuyoshi Takahara, Yoko Irie, Tetsuyuki Yasuda, Taka-Aki Matsuoka, Takeshi Osonoi, Hirotaka Watada, Iichiro Shimomura

Open access · diamondAbstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 4% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

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  12. A machine learning approach to predict positive coronary artery calcium scores in individuals with diabetes: a cross-sectional analysis of ELSA-Brasil baseline data.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2025
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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

10 authors at 4 institutions in 1 country.

Naoto KatakamiDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine.
Tomoya MitaDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine.
Masahiko GoshoDepartment of Clinical Trial and Clinical Epidemiology, Faculty of Medicine, University of Tsukuba.
Mitsuyoshi TakaharaDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine.
Yoko IrieOsaka Police Hospital.
Tetsuyuki YasudaOsaka Police Hospital.
Taka-Aki MatsuokaDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine.
Takeshi OsonoiNakakinen Clinic.
Hirotaka WatadaDepartment of Metabolism & Endocrinology, Juntendo University Graduate School of Medicine.
Iichiro ShimomuraDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine.
Osaka University · JPJuntendo University · JPOsaka Police Hospital · JPUniversity of Tsukuba · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimIt remains unclear whether measures used in carotid ultrasonography such as the intima-media thickness (IMT) and ultrasonic tissue characterization of the carotid using the gray-scale median (GSM) can add prognostic information beyond the conventional cardiovascular risk markers in patients with diabetes.

methodsThis study employed a combined analysis of data obtained in five longitudinal studies including a total of 3263 patients with diabetes but without apparent cardiovascular disease (CVD) at baseline. The associations between carotid ultrasonography measures and the first occurrence of CVD (488 cases), which were defined as cardiovascular death, coronary artery diseases, stroke, or peripheral artery disease, were analyzed.

resultsCommon carotid artery (CCA)-mean-IMT, CCA-max-IMT, Max-IMT, plaque-GSM, and the presence of low-GSM echolucent plaques at baseline were prognostic factors for CVD even after adjustment for conventional risk factors. Time-dependent receiver-operating-characteristic (ROC) curve analysis indicated that the use of CCA-mean-IMT, CCA-max-IMT, and Max-IMT in addition to the conventional risk factors improved significantly the prediction of occurrence of CVD. Increments in the CCA-mean-IMT (hazard ratio [HR] 2.37 for every 0.1-mm/year increment [95% confidence interval [CI]: 1.63-3.47], p<0.001), Max-IMT (HR 1.51 for every 0.1-mm/year increment [95% CI: 1.07-2.14], p=0.020), and Mean-GSM (HR 0.22 for every 10-U/year increment [95% CI: 0.06-0.76], p=0.016) during the observation period were also prognostic factors for CVD even after adjusting for the baseline value of the respective measure.

conclusionsAddition of carotid ultrasonography measures to conventional risk factors significantly improved the stratification of patients by cardiovascular risk. Changes over time in carotid ultrasonography measures may be used as therapeutic outcome measures.

Indexed as

AgedCardiovascular DiseasesCarotid Intima-Media ThicknessDiabetes ComplicationsDiabetes MellitusFemaleFollow-Up StudiesHumansLongitudinal StudiesMaleMiddle AgedPrognosisRisk AssessmentROC CurveUltrasonographyCardiovascular diseasesCarotid plaqueDiabetes mellitusIMTTissue characterization

Identifiers

PMID29445076
PMCPMC6193187
OpenAlexW2791536956

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.