Evidence map›Paper›PMID 35233077›Full record

SynthesisScientific reports2022

Diagnostic accuracy of mercurial versus digital blood pressure measurement devices: a systematic review and meta-analysis.

Malaisamy Muniyandi, Senthil Sellappan, Vidya Chellaswamy, Karunya Ravi, Sananthya Karthikeyan, Kannan Thiruvengadam, Jerard Maria Selvam, Nagarajan Karikalan

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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 3 institutions in 1 country.

Malaisamy MuniyandiDepartment of Health Economics, ICMR-National Institute for Research in Tuberculosis, No. 1, Sathyamoorthy Road, Chetpet, Chennai, 600031, India. muniyandi.m@nirt.res.in.
Senthil SellappanICMR-Regional Medical Research Centre, Port Blair, Andaman and the Nicobar Islands, India.
Vidya ChellaswamyDepartment of Health Economics, ICMR-National Institute for Research in Tuberculosis, No. 1, Sathyamoorthy Road, Chetpet, Chennai, 600031, India.
Karunya RaviDepartment of Health Economics, ICMR-National Institute for Research in Tuberculosis, No. 1, Sathyamoorthy Road, Chetpet, Chennai, 600031, India.
Sananthya KarthikeyanDepartment of Health Economics, ICMR-National Institute for Research in Tuberculosis, No. 1, Sathyamoorthy Road, Chetpet, Chennai, 600031, India.
Kannan ThiruvengadamDepartment of Health Economics, ICMR-National Institute for Research in Tuberculosis, No. 1, Sathyamoorthy Road, Chetpet, Chennai, 600031, India.
Jerard Maria SelvamDepartment of Public Health & Preventive Medicine, Government of Tamil Nadu, Chennai, India.
Nagarajan KarikalanDepartment of Health Economics, ICMR-National Institute for Research in Tuberculosis, No. 1, Sathyamoorthy Road, Chetpet, Chennai, 600031, India.
National Institute of Research in Tuberculosis · INGovernment of Tamil Nadu · INRegional Medical Research Centre · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to systematically review the diagnostic accuracy of a digital blood pressure measurement device compared to the gold standard mercury sphygmomanometer in published studies. Searches were conducted in PubMed, Cochrane, EBSCO, EMBASE and Google Scholar host databases using the specific search strategy and filters from 1st January 2000 to 3rd April 2021. We included studies reporting data on the sensitivity or specificity of blood pressure measured by digital devices and mercury sphygmomanometer used as the reference standard. Studies conducted among children, special populations, and specific disease groups were excluded. We considered published manuscripts in the English language only. The risk of bias and applicability concerns were assessed based on the author's judgment using the QUADAS2 manual measurement evaluation tool. Based on the screening, four studies were included in the final analysis. Sensitivity, specificity, diagnostic odds ratio (DOR), and 95% confidence interval were estimated. The digital blood pressure monitoring has a moderate level of accuracy and the device can correctly distinguish hypertension with a pooled estimate sensitivity of 65.7% and specificity of 95.9%. After removing one study, which had very low sensitivity and very high specificity, the pooled sensitivity estimate was 79%, and the specificity was 91%. The meta-analysis of DOR suggests that the digital blood pressure monitor had moderate accuracy with a mercury sphygmomanometer. This will provide the clinician and patients with accurate information on blood pressure with which diagnostic and treatment decisions could be made.

Indexed as

Blood Pressure DeterminationMercuryBlood PressureChildHumansSensitivity and SpecificitySphygmomanometersMercury

Identifiers

PMID35233077
PMCPMC8888622
OpenAlexW4214602362

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.