Evidence map›Paper›PMID 26452268›Full record

Trial reportPloS one2015

The Association of Four-Limb Blood Pressure with History of Stroke in Chinese Adults: A Cross-Sectional Study.

Hong Guo, Fengyu Sun, Lihang Dong, Huiying Chang, Xingbo Gu, Haiyu Zhang, Lijiang Sheng, Ye Tian

Open access · goldAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-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

7 citing papers in PubMed, 16 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

8 authors at 3 institutions in 1 country.

Hong GuoDepartment of Cardiology, The First Affiliated Hospital, Cardiovascular Institute, Harbin Medical University, Harbin 150001, P.R. China; Key Laboratory of Cardiovascular Medicine Research, Ministry of Education, Harbin Medical University, Harbin 150081, P.R. China; Heilongjiang Academy of Medical Sciences, Harbin Medical University, Harbin 150081, P.R. China.
Fengyu SunDepartment of Cardiology, The First Affiliated Hospital, Cardiovascular Institute, Harbin Medical University, Harbin 150001, P.R. China.
Lihang DongDepartment of Cardiology, The First Affiliated Hospital, Cardiovascular Institute, Harbin Medical University, Harbin 150001, P.R. China.
Huiying ChangDepartment of Cardiology, The First Affiliated Hospital, Cardiovascular Institute, Harbin Medical University, Harbin 150001, P.R. China.
Xingbo GuDepartment of Cardiology, The First Affiliated Hospital, Cardiovascular Institute, Harbin Medical University, Harbin 150001, P.R. China.
Haiyu ZhangDepartment of Cardiology, The First Affiliated Hospital, Cardiovascular Institute, Harbin Medical University, Harbin 150001, P.R. China.
Lijiang ShengDepartment of Cardiology, The First Affiliated Hospital, Cardiovascular Institute, Harbin Medical University, Harbin 150001, P.R. China.
Ye TianDepartment of Cardiology, The First Affiliated Hospital, Cardiovascular Institute, Harbin Medical University, Harbin 150001, P.R. China; Department of Pathophysiology, Key Laboratory of Cardiovascular Pathophysiology, Harbin Medical University, Harbin 150081, P.R. China; Key Laboratory of Cardiovascular Medicine Research, Ministry of Education, Harbin Medical University, Harbin 150081, P.R. China; Heilongjiang Academy of Medical Sciences, Harbin Medical University, Harbin 150081, P.R. China.
Harbin Medical University · CNFirst Affiliated Hospital of Harbin Medical University · CNHeilongjiang Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe investigated the association of ankle-brachial blood pressure index (ABI), interarm blood pressure (BP) difference and interankle BP difference, obtained by simultaneous four-limb BP measurement, with history of stroke in a Chinese adult population.

methodsThis cross-sectional study included 1485 participants aged ≥35 years in the framework of the China Hypertension Survey. We performed simultaneous four-limb BP measurement using oscillometric devices with the participants in the supine position and calculated ABI and interarm/interankle BP differences between the 4 limbs. Logistic regression analysis was used to estimate the association of these BP parameters and other factors with a history of stroke.

resultsIn univariate analyses, participants with ABI <0.9, interarm BP difference ≥15 mmHg, and interankle BP difference ≥10 mmHg had a higher prevalence of stroke than those without (p < 0.0001, p = 0.0152, p = 0.002, respectively). Multiple logistic regression analyses suggested, ABI <0.9 was independently associated with a history of stroke after adjustment for interarm BP difference ≥15 mmHg, interankle BP difference ≥10 mmHg, and traditional risk factors for stroke (p = 0.001). An interankle BP difference ≥10 mmHg was associated with prior stroke after the two variables of hypertension and ABI were removed from the logistic regression model (p = 0.0142). Net reclassification improvement analysis showed that inclusion of interankle BP difference ≥10 mmHg to the independent risk factors (age, family history of stroke, hypertension, and ABI) improved net reclassification by 11.92%.

conclusionABI <0.9 is an independent risk factor for stroke prevalence in Chinese adults and it just detected a small propotion of paticipants. The addition of interankle BP difference ≥10 mmHg to the independent risk factors for stroke may improve the prediction of stroke.

Indexed as

Ankle Brachial IndexBlood PressureAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsStroke

Identifiers

PMID26452268
PMCPMC4599855
OpenAlexW2283928271

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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.