Evidence map›Paper›PMID 32238337›Full record

ArticleJMIR mHealth and uHealth2020

An Automated Blood Pressure Display for Self-Measurement in Patients With Chronic Kidney Disease (iHealth Track): Device Validation Study.

Victoria Mazoteras-Pardo, Ricardo Becerro-De-Bengoa-Vallejo, Marta Elena Losa-Iglesias, Daniel López-López, César Calvo-Lobo, David Rodríguez-Sanz, Eva María Martínez-Jiménez, Patricia Palomo-López

Open access · goldAbstract readValidation Study
In one paragraph

Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Observational
  2. Review
  3. Review
  4. 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

8 authors at 5 institutions in 1 country.

Victoria Mazoteras-Pardo *Facultad de Enfermería, Fisioterapia y Podología, Universidad de Complutense de Madrid, Madrid, Spain.ORCID 0000-0001-5741-7606
Ricardo Becerro-De-Bengoa-Vallejo *Facultad de Enfermería, Fisioterapia y Podología, Universidad de Complutense de Madrid, Madrid, Spain.ORCID 0000-0003-1568-7602
Marta Elena Losa-Iglesias *Faculty of Health Sciences, Universidad Rey Juan Carlos, Alcorcón, Spain.ORCID 0000-0001-7588-2069
Daniel López-López *Research, Health and Podiatry Group, Faculty of Nursing and Podiatry, Departament of Health Sciences, Universidade da Coruña, Ferrol, Spain.ORCID 0000-0002-9818-6290
César Calvo-Lobo *Facultad de Enfermería, Fisioterapia y Podología, Universidad de Complutense de Madrid, Madrid, Spain.ORCID 0000-0002-6569-1311
David Rodríguez-Sanz *Facultad de Enfermería, Fisioterapia y Podología, Universidad de Complutense de Madrid, Madrid, Spain.ORCID 0000-0002-3629-6590
Eva María Martínez-Jiménez *Facultad de Fisioterapia y Enfermería, Departamento de Enfermería, Universidad Castilla la Mancha, Toledo, Spain.ORCID 0000-0003-0926-5200
Patricia Palomo-López *University Center of Plasencia, Universidad de Extremadura, Plasencia, Spain.ORCID 0000-0003-3821-949X
Universidad Complutense de Madrid · ESUniversidad de Extremadura · ESUniversidade da Coruña · ESUniversidad Rey Juan Carlos · ESUniversity of Castilla-La Mancha · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertension is a global public health issue and is closely related to chronic kidney disorder (CKD). In people with CKD, strict monitoring of blood pressure is an important part of therapy.

objectiveThe aim of this research was to validate the iHealth Track blood pressure monitoring device for patients with CKD according to the European Society of Hypertension International Protocol 2010 (ESH-IP2).

methodsIn total, 33 patients who received hemodialysis in Plasencia participated in the study. There were 9 successive measurements made, which conformed to the ESH-IP2. We calculated the differences between the standard reference device (Omron M3 Intellisense) and the test device (iHealth Track) for blood pressure and heart rate values. For 99 total comparisons of paired measurements, we classified differences into various categories (≤5 mmHg, ≤10 mmHg, and ≤15 mmHg for blood pressure; ≤3, ≤5, and ≤8 beats per minute for heart rate).

resultsIn 90 of 99 systolic blood pressure and 89 of 99 diastolic blood pressure comparisons between the devices, measurement differences were within 5 mmHg. In 81 of 99 heart rate comparisons between the devices, measurement differences were within 3 beats per minute. The mean differences between the test and reference standard measurements were 3.27 (SD 2.99) mmHg for systolic blood pressure, 3.59 (SD 4.55) mmHg for diastolic blood pressure, and 2.18 (SD 2.75) beats per minute for heart rate. We also observed that for both systolic and diastolic blood pressure, 31 of 33 participants had at least two of three comparisons between the devices with measurement differences less than 5 mmHg. For heart rate, 28 of 33 patients had at least two of three comparisons between the devices with measurement differences less than 3 beats per minute.

conclusionsTo our knowledge, this is the first study to show that iHealth Track meets the requirements of the ESH-IP2 in patients with CKD. Therefore, the iHealth Track is suitable for use in renal patients.

Indexed as

Blood Pressure Monitoring, AmbulatoryHypertensionRenal Insufficiency, ChronicAgedAged, 80 and overBlood PressureBlood Pressure DeterminationFemaleHumansMaleblood pressureheart rateiHealth TrackInternational Protocolvalidation

Identifiers

PMID32238337
PMCPMC7163421
OpenAlexW3004218007

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.