Evidence map›Paper›PMID 31866552›Full record

ArticleIndian pacing and electrophysiology journal

Assessment of diagnostic accuracy of SanketLife - A wireless, pocket-sized ECG biosensor, in comparison to standard 12 lead ECG in the detection of cardiovascular diseases in a tertiary care setting.

Siva Kumar, C M Nagesh, Manmohan Singh, Anbu Pandian, David Delurgio, Bobby Khan, Robin Chaudhary, Prashant Gupta

Open access · goldAbstract read
In one paragraph

Article in Indian pacing and electrophysiology journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Artificial intelligence-powered advancements in atrial fibrillation diagnostics: a systematic review.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2025
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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 5 institutions in 2 countries.

Siva KumarDept of Cardiology, Sri Jayadeva Institute of Cardiology, Bangalore, Karnataka, India.
C M NageshDept of Cardiology, Sri Jayadeva Institute of Cardiology, Bangalore, Karnataka, India.
Manmohan SinghDept of Public Health, FINER Health, Gurugram, Haryana, India. Electronic address: manmohansinghdr@gmail.com.
Anbu PandianTexas A&M Health Science Center, Temple, TX, USA.
David DelurgioEmory University School of Medicine, Atlanta, GA, USA.
Bobby KhanThe University of Central Florida, Orlando, FL, USA.
Robin ChaudharyDept of Electrophysiology, Agatsa Private Limited, Noida, Uttar Pradesh, India.
Prashant GuptaDept of Data Science, Agatsa Private Limited, Noida, Uttar Pradesh, India.
Sri Jayadeva Institute of Cardiovascular Sciences and Research · INEmory University · USShree Guru Gobind Singh Tricentenary University · INTexas A&M Health Science Center · USUniversity of Central Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe SanketLife is a low cost, portable, pocket sized 12 lead ECG mechanised by SanketLife app running on compatible iOS and Android phones that connect wirelessly via Bluetooth technology to the device.

objectiveThe current study was conducted to assess the diagnostic accuracy of SanketLife ECG in comparison to standard 12 lead ECG (GE-2000) in detection of cardiovascular diseases. RESEARCH DESIGN AND

methodsThis was a prospective diagnostic test accuracy trial conducted in outpatient settings of a tertiary cardiac care centre in India. A total of 100 patients, attended cardiology OPD, were included in the study. Consecutive ECGs were taken by 12 lead standard ECG as well as by SanketLife ECG. Diagnostic accuracy variables such as sensitivity, specificity, negative and positive predictive value, negative and positive likelihood ratios were estimated. Ethical permission was taken from the Institutional ethical committee. RESULTS &

conclusionThe analysis showed a high degree of agreement and accuracy of SanketLife in detecting major cardiovascular conditions (Major Minnesota codes) such as Left and right bundle branch block, ST-segment elevation and ST-segment depression, AV conduction block. SanketLife showed high sensitivity (98.15%) and specificity (100%) in diagnosing major cardiovascular conditions.

Indexed as

12-LeadAccuracyAgreementMinnesotaSanketLifeSensitivity

Identifiers

PMID31866552
PMCPMC7082670
OpenAlexW2996021761

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.