Evidence map›Paper›PMID 29338059›Full record

ArticlePloS one2018

Hemodynamic characteristics of hyperplastic remodeling lesions in cerebral aneurysms.

Kazuhiro Furukawa, Fujimaro Ishida, Masanori Tsuji, Yoichi Miura, Tomoyuki Kishimoto, Masato Shiba, Hiroshi Tanemura, Yasuyuki Umeda, Takanori Sano, Ryuta Yasuda and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
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  3. Observational
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  15. Hemodynamics in aneurysm blebs with different wall characteristics.Journal of neurointerventional surgery · 2021
    Article
  16. Article
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  19. Combining data from multiple sources to study mechanisms of aneurysm disease: Tools and techniques.International journal for numerical methods in biomedical engineering · 2018
    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

12 authors at 3 institutions in 1 country.

Kazuhiro FurukawaDepartment of Neurosurgery, Mie University Graduate School of Medicine, Tsu, Mie, Japan.ORCID 0000-0001-5744-8306
Fujimaro IshidaDepartment of Neurosurgery, Mie Chuo Medical Center, National Hospital Organization, Tsu, Mie, Japan.
Masanori TsujiDepartment of Neurosurgery, Mie University Graduate School of Medicine, Tsu, Mie, Japan.
Yoichi MiuraDepartment of Neurosurgery, Suzuka Kaisei Hospital, Suzuka, Mie, Japan.
Tomoyuki KishimotoDepartment of Neurosurgery, Mie Chuo Medical Center, National Hospital Organization, Tsu, Mie, Japan.
Masato ShibaDepartment of Neurosurgery, Mie University Graduate School of Medicine, Tsu, Mie, Japan.
Hiroshi TanemuraDepartment of Neurosurgery, Ise Red Cross Hospital, Ise, Mie, Japan.
Yasuyuki UmedaDepartment of Neurosurgery, Mie University Graduate School of Medicine, Tsu, Mie, Japan.
Takanori SanoDepartment of Neurosurgery, Ise Red Cross Hospital, Ise, Mie, Japan.
Ryuta YasudaDepartment of Neurosurgery, Mie University Graduate School of Medicine, Tsu, Mie, Japan.
Shinichi ShimosakaDepartment of Neurosurgery, Mie Chuo Medical Center, National Hospital Organization, Tsu, Mie, Japan.
Hidenori SuzukiDepartment of Neurosurgery, Mie University Graduate School of Medicine, Tsu, Mie, Japan.
Mie University · JPMie Chuo Medical Center · JPIse Red Cross Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND & PURPOSE: Hyperplastic remodeling (HR) lesions are sometimes found on cerebral aneurysm walls. Atherosclerosis is the results of HR, which may cause an adverse effect on surgical treatment for cerebral aneurysms. Previous studies have demonstrated that atherosclerotic changes had a correlation with certain hemodynamic characteristics. Therefore, we investigated local hemodynamic characteristics of HR lesions of cerebral aneurysms using computational fluid dynamics (CFD).

methodsTwenty-four cerebral aneurysms were investigated using CFD and intraoperative video recordings. HR lesions and red walls were confirmed on the intraoperative images, and the qualification points were determined on the center of the HR lesions and the red walls. The qualification points were set on the virtual operative images for evaluation of wall shear stress (WSS), normalized WSS (NWSS), oscillatory shear index (OSI), relative residence time (RRT), and aneurysm formation indicator (AFI). These hemodynamic parameters at the qualification points were compared between HR lesions and red walls.

resultsHR lesions had lower NWSS, lower AFI, higher OSI and prolonged RRT compared with red walls. From analysis of the receiver-operating characteristic curve for hemodynamic parameters, OSI was the most optimal hemodynamic parameter to predict HR lesions (area under the curve, 0.745; 95% confidence interval, 0.603-0.887; cutoff value, 0.00917; sensitivity, 0.643; specificity, 0.893; P<0.01). With multivariate logistic regression analyses using stepwise method, NWSS was significantly associated with the HR lesions.

conclusionsAlthough low NWSS was independently associated with HR lesions, OSI is the most valuable hemodynamic parameter to distinguish HR lesions from red walls.

Indexed as

HemodynamicsVascular RemodelingAneurysm, RupturedHumansIntracranial AneurysmIntraoperative Period

Identifiers

PMID29338059
PMCPMC5770072
OpenAlexW2783941418

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.