Evidence map›Paper›PMID 29611066›Full record

ArticleLasers in medical science2018

Application of wavelet analysis to detect dysfunction in cerebral blood flow autoregulation during experimental hyperhomocysteinaemia.

Valery V Aleksandrin, Alexander V Ivanov, Edward D Virus, Polina O Bulgakova, Aslan A Kubatiev

Abstract read
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In one paragraph

Article in Lasers in medical science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-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

12 citing papers in PubMed, 21 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

5 authors at 1 institution in 1 country.

Valery V AleksandrinDepartment of Molecular and Cell Pathophysiology, Federal State Budgetary Scientific Institution "Institute of General Pathology and Pathophysiology", Moscow, Russia. aleksandrin-54@mail.ru.
Alexander V IvanovDepartment of Molecular and Cell Pathophysiology, Federal State Budgetary Scientific Institution "Institute of General Pathology and Pathophysiology", Moscow, Russia.
Edward D VirusDepartment of Molecular and Cell Pathophysiology, Federal State Budgetary Scientific Institution "Institute of General Pathology and Pathophysiology", Moscow, Russia.
Polina O BulgakovaDepartment of Molecular and Cell Pathophysiology, Federal State Budgetary Scientific Institution "Institute of General Pathology and Pathophysiology", Moscow, Russia.
Aslan A KubatievDepartment of Molecular and Cell Pathophysiology, Federal State Budgetary Scientific Institution "Institute of General Pathology and Pathophysiology", Moscow, Russia.
Research Institute of General Pathology and Pathophysiology, the Russian Academy of Medical Sciences · RU

Funding

Russian Science Foundation under Grant 16-15-10340 16-15-10340
6 · The paper itself

Abstract

The purpose of the present study was to investigate the use of laser Doppler flowmetry (LDF) signals coupled with spectral wavelet analysis to detect endothelial link dysfunction in the autoregulation of cerebral blood flow in the setting of hyperhomocysteinaemia (HHcy). Fifty-one rats were assigned to three groups (intact, control, and HHcy) according to the results of biochemical assays of homocysteine level in blood plasma. LDF signals on the rat brain were recorded by LAKK-02 device to measure the microcirculatory blood flow. The laser operating wavelength and output power density were1064 nm and 0.051 W/mm

Indexed as

HomeostasisWavelet AnalysisAnimalsBrainCerebrovascular CirculationChronic DiseaseHemodynamicsHemorrhageHumansHyperhomocysteinemiaLaser-Doppler FlowmetryMaleRatsSkinCerebral blood flowHyperhomocysteinaemiaLaser Doppler flowmetryWavelet analysis

Identifiers

PMID29611066
OpenAlexW2795986855

What OpenQuestion holds

Textmetadata
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.