Evidence map›Paper›PMID 31683849›Full record

ArticleJournal of clinical medicine2019

Cerebral White Matter Hyperintensity as a Healthcare Quotient.

Kaechang Park, Kiyotaka Nemoto, Yoshinori Yamakawa, Fumio Yamashita, Keitaro Yoshida, Masashi Tamura, Atsushi Kawaguchi, Tetsuaki Arai, Makoto Sasaki

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

9 authors at 5 institutions in 1 country.

Kaechang ParkResearch Organization for Regional Alliance, Kochi University of Technology, Kochi 782-0003, Japan. park.kaechang@kochi-tech.ac.jp.
Kiyotaka NemotoDepartment of Psychiatry, Faculty of Medicine, University of Tsukuba, Tsukuba 305-8575, Japan. kiyotaka@nemotos.net.ORCID 0000-0001-8623-9829
Yoshinori YamakawaImPACT Program of Council for Science, Technology and Innovation (Cabinet Office, Government of Japan), Tokyo 100-8974, Japan. yamakawa@bi-lab.org.ORCID 0000-0002-7995-1794
Fumio YamashitaDivision of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Morioka 028-3694, Japan. fyamashi@iwate-med.ac.jp.
Keitaro YoshidaDepartment of Psychiatry, Faculty of Medicine, University of Tsukuba, Tsukuba 305-8575, Japan. keicima0154@gmail.com.
Masashi TamuraDepartment of Psychiatry, Faculty of Medicine, University of Tsukuba, Tsukuba 305-8575, Japan. tamuramas@gmail.com.
Atsushi KawaguchiCenter for Comprehensive Community Medicine, Faculty of Medicine, Saga University, Saga 849-8501, Japan. akawa@cc.saga-u.ac.jp.
Tetsuaki AraiDepartment of Psychiatry, Faculty of Medicine, University of Tsukuba, Tsukuba 305-8575, Japan. 4632tetsu@md.tsukuba.ac.jp.
Makoto SasakiDivision of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Morioka 028-3694, Japan. masasaki@iwate-med.ac.jp.ORCID 0000-0002-3108-4361
University of Tsukuba · JPIwate Medical University · JPGovernment of Japan · JPKochi University of Technology · JPSaga University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To better understand the risk factors and optimal therapeutic strategies of cerebral white matter hyperintensity (WMH), we examined a large population of adults with and without various vascular risk factors (VRFs) or vascular risk conditions (VRCs), such as hypertension (HT), diabetes mellitus (DM), and dyslipidemia (DLP), including the comorbidities. We assessed two participant groups having no medical history of stroke or dementia that underwent brain checkup using magnetic resonance imaging (MRI): 5541 participants (2760 men, 2781 women) without VRCs and 1969 participants (1169 men, 800 women) who had received drug treatments for VRCs and the combination of comorbidities. For data analysis, we constructed WMH-brain healthcare quotient (WMH-BHQ) based on the percentile rank of WMH volume. This metric has an inverse relation to WMH. Multiple linear regression analysis of 5541 participants without VRCs revealed that age, systolic blood pressure (SBP), Brinkman index (BI), and female sex were significant factors lowering WMH-BHQ, whereas body mass index (BMI), male sex, fasting blood sugar, and triglyceride levels were increasing factors. The Kruskal-Wallis test and Dunn tests showed that WMH-BHQs significantly increased or decreased with BMI or SBP and with BI classification, respectively. Regarding the impact of impaired fasting glucose and abnormal lipid metabolism, there were almost no significant relationships. For 1969 participants who had HT, DM, and DLP, as well as their comorbidities, we found that DLP played a substantial role in increasing WMH-BHQ for some comorbidities, whereas the presence of HT and DM alone tended to decrease it. Cerebral WMH can be used as a healthcare quotient for quantitatively evaluating VRFs and VRCs and their comorbidities.

Indexed as

chronichealthcare quotientMRIwhite matter hyperintensity

Identifiers

PMID31683849
PMCPMC6912319
OpenAlexW2985034965

What OpenQuestion holds

Textmetadata
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.