Evidence map›Paper›PMID 36229769›Full record

ArticleBMC neurology2022

Retinal microvasculature and cerebral hemodynamics in patients with internal carotid artery stenosis.

Junfeng Liu, Jincheng Wan, William Robert Kwapong, Wendan Tao, Chen Ye, Ming Liu, Bo Wu

Open access · goldAbstract read
In one paragraph

Article in BMC neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  7. Article
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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

7 authors at 2 institutions in 1 country.

Junfeng Liu *Department of Neurology, West China Hospital, Sichuan University, No. 37, GuoXue Xiang, Chengdu, Sichuan Province, 610041, People's Republic of China.
Jincheng Wan *Department of Neurology, West China Hospital, Sichuan University, No. 37, GuoXue Xiang, Chengdu, Sichuan Province, 610041, People's Republic of China.
William Robert KwapongDepartment of Neurology, West China Hospital, Sichuan University, No. 37, GuoXue Xiang, Chengdu, Sichuan Province, 610041, People's Republic of China.
Wendan TaoDepartment of Neurology, West China Hospital, Sichuan University, No. 37, GuoXue Xiang, Chengdu, Sichuan Province, 610041, People's Republic of China.
Chen YeDepartment of Neurology, West China Hospital, Sichuan University, No. 37, GuoXue Xiang, Chengdu, Sichuan Province, 610041, People's Republic of China.
Ming LiuDepartment of Neurology, West China Hospital, Sichuan University, No. 37, GuoXue Xiang, Chengdu, Sichuan Province, 610041, People's Republic of China. wyplmh@hotmail.com.
Bo WuDepartment of Neurology, West China Hospital, Sichuan University, No. 37, GuoXue Xiang, Chengdu, Sichuan Province, 610041, People's Republic of China. dragonwbtxf@hotmail.com.
Sichuan University · CNMinda Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the relationship between retinal microvasculature and cerebral hemodynamics in patients with internal carotid artery (ICA) stenosis.

methodsPatients with unilateral moderate or severe ICA stenosis(≥50%) from West China hospital, Sichuan university were consecutively and prospectively recruited enrolled in the current study. En face angiograms of the superficial vascular complex (SVC), deep vascular complex (DVC), superficial vascular plexus (SVP), intermediate capillary plexus (ICP), and deep capillary plexus (DCP) were generated by automatic segmentation using swept-source optical coherence tomography angiography (SS-OCTA) to assess the retinal microvascular perfusion. The cerebral blood flow perfusion on bilateral middle cerebral artery territories measured at the basal ganglia level was assessed by brain computed tomography perfusion (CTP). CTP data were postprocessed to generate maps of different perfusion parameters including cerebral blood flow (CBF), cerebral blood volume (CBV), time to peak (TTP), mean transit time (MTT) and permeability surface(PS). Relative perfusion parameters (rPS, rCBF, etc.) were calculated as the ratio of the value on the contralateral side to that on the ipsilateral side.

resultsIn the final analysis, 31 patients were included, of whom 11 patients had a moderate ICA stenosis (50-69%) and 20 with a severe ICA stenosis(≥70%). A total of 55 eyes were analyzed in the study, 27 eyes from the ipsilateral side (ie, side with stenosis) and 28 eyes from the contralateral side. In the patients with ICA stenosis, there was a strong correlation between the retinal microvascular perfusion of SVC with rCBV(B = 0.45, p = 0.03), rCBF(B = 0.26, p = 0.02) and rPS(B = 0.45, p < 0.001) after adjustment for age, sex and vascular risk factors. Similar correlations were also found between microvasculature in SVP and cerebral perfusion changes. There were no any significant associations of microvascular perfusion in both DVC and DCP with CTP parameters(all p > 0.05).

conclusionsRetinal perfusion changes in superficial vascular layer (SVC and SVP) were correlated with brain hemodynamic compromise in patients with unilateral moderate or severe ICA stenosis(≥50%). Given the limited size of our study, future studies with larger sample size are needed to confirm our findings.

Indexed as

Carotid StenosisCarotid Artery, InternalCerebrovascular CirculationConstriction, PathologicHemodynamicsHumansMicrovesselsCerebral hemodynamicsComputed tomography perfusionInternal carotid artery stenosisRetinal microvasculatureSwept-source optical coherence tomography angiography

Identifiers

PMID36229769
PMCPMC9559035
OpenAlexW4304845451

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.