Evidence map›Paper›PMID 27898734›Full record

ArticlePloS one2016

Diagnostic Accuracy Study of an Oscillometric Ankle-Brachial Index in Peripheral Arterial Disease: The Influence of Oscillometric Errors and Calcified Legs.

Ángel Herráiz-Adillo, Vicente Martínez-Vizcaíno, Iván Cavero-Redondo, Celia Álvarez-Bueno, Miriam Garrido-Miguel, Blanca Notario-Pacheco

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
6.0field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 40 citations in OpenAlex.

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  15. Automated oscillometric blood pressure and pulse-wave acquisition for evaluation of vascular stiffness in atherosclerosis.Clinical research in cardiology : official journal of the German Cardiac Society · 2017
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  17. Validity and reliability of the ankle-brachial index by oscillometric blood pressure and automated ankle-brachial index.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2017
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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

6 authors at 3 institutions in 2 countries.

Ángel Herráiz-AdilloDepartment of Primary Care, Health Service of Castilla-La Mancha (SESCAM), Tragacete, Cuenca, Spain.ORCID http://orcid.org/0000-0002-2691-0315
Vicente Martínez-VizcaínoUniversidad de Castilla-La Mancha. Health and Social Research Center. Cuenca, Spain.
Iván Cavero-RedondoUniversidad de Castilla-La Mancha. Health and Social Research Center. Cuenca, Spain.
Celia Álvarez-BuenoUniversidad de Castilla-La Mancha. Health and Social Research Center. Cuenca, Spain.
Miriam Garrido-MiguelUniversidad de Castilla-La Mancha. Health and Social Research Center. Cuenca, Spain.
Blanca Notario-PachecoUniversidad de Castilla-La Mancha. Health and Social Research Center. Cuenca, Spain.
University of Castilla-La Mancha · ESServicio de Salud de Castilla La Mancha · ESUniversidad Autónoma de Chile · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeripheral arterial disease (PAD) is an indicator of widespread atherosclerosis. However, most individuals with PAD, in spite of being at high cardiovascular risk, are asymptomatic. This fact, together with the limitations of the Doppler ankle-brachial index (ABI), contributes to PAD underdiagnose. The aim of this study was to compare oscillometric ABI and Doppler ABI to diagnose peripheral arterial disease, and also to examine the influence of oscillometric errors and calcified legs on the PAD diagnoses. METHODS AND

findingsWe measured the ankle-brachial indexes of 90 volunteers (n = 180 legs, age 70 ± 14 years, 43% diabetics) using both oscillometer OMRON-M3 and Doppler. For concordance analyses we used the Bland and Altman method, and also estimated the intraclass correlation coefficient. Receiver Operating Characteristic Curves were used to examine the diagnostic performance of both methods. The ABI means were 1.06 ± 0.14 and 1.04 ± 0.16 (p = 0.034) measured by oscillometer and Doppler ABIs respectively, with limits of agreement of ± 0.20 and intraclass correlation coefficient = 0.769. Oscillometer yielded 23 "error" measurements, and also overestimated the measurements in low ankle pressures. Using Doppler as gold standard, oscillometer performance for diagnosis of PAD showed an Area Under Curve = 0.944 (sensitivity: 66.7%, specificity: 96.8%). Moreover, when considered calcified legs and oscillometric "error" readings as arteriopathy equivalents, sensitivity rose to 78.2%, maintaining specificity in 96%. The best oscillometer cut-off point was 0.96 (sensitivity: 87%, specificity: 91%, positive likelihood ratio: 9.66 and negative likelihood ratio: 0.14).

conclusionDespite its limitations, oscillometric ABI could be a useful tool for the diagnosis of PAD, particularly when considering calcified legs and oscillometric "errors" readings as peripheral arterial disease equivalents.

Indexed as

OscillometryAgedAnkleAnkle Brachial IndexArea Under CurveCalcification, PhysiologicDiagnostic ErrorsFemaleHumansLegMaleMiddle AgedPeripheral Arterial DiseaseRisk FactorsROC CurveUltrasonography, Doppler

Identifiers

PMID27898734
PMCPMC5127576
OpenAlexW2557669294

What OpenQuestion holds

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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.