Evidence map›Paper›PMID 40837169›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine

Agreement of Automated Oscillometric Blood Pressure Measurement Device with the Manual Mercury Sphygmomanometer.

Sana Ahmed, Yamini Gusain, Renuka Pathak, Rishu Thakur, Geeta Trilok-Kumar

Abstract read
In one paragraph

Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

5 authors.

Sana AhmedInstitute of Home Economics, University of Delhi, New Delhi, India.
Yamini GusainInstitute of Home Economics, University of Delhi, New Delhi, India.
Renuka PathakInstitute of Home Economics, University of Delhi, New Delhi, India.
Rishu ThakurInstitute of Home Economics, University of Delhi, New Delhi, India.
Geeta Trilok-KumarTrivedi School of Biosciences, Ashoka University, Sonipat, Haryana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The usage of the manual mercury sphygmomanometer to measure blood pressure (BP) is universally regarded as the gold standard, but its use has decreased globally due to concerns about potential mercury toxicity. Automated BP devices have become more popular, though their accuracy in detecting hypertension hasn't been studied extensively. This cross-sectional study was conducted on 301 adult female students of the University of Delhi with the aim to assess the degree of agreement between standard manual mercury sphygmomanometer and automated BP monitor (Omron JPN1). Three consecutive BP readings were taken on the left arm by a certified medical doctor using both instruments. Bland Altman plots were created to assess the degree of agreement between the two BP devices and to test the accuracy of automated BP monitor in detecting hypertensive adults. The automated BP monitor underestimated the systolic BP measurement by 4 mmHg and diastolic BP measurement by 7 mmHg as determined by Bland Altman plot. Based on international validation protocols, a mean difference of < 5 ± 8 mmHg was established to assess the level of agreement between the two devices. The automatic BP monitor did not show complete agreement with the "gold standard" mercury sphygmomanometer. With growing restrictions on the use of mercury sphygmomanometers, its replacement with an equivalent mercury-free validated device is urgently needed.

Indexed as

Accuracyagreementautomatedblood pressure monitorsphygmomanometer

Identifiers

PMID40837169
PMCPMC12364266

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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.