Evidence map›Paper›PMID 35414581›Full record

ArticleBMJ case reports2022

Heart failure decompensation alerts in a patient's home using an automated, AI-driven, point-of-care device.

Oriane Elisabeth Chausiaux, Melanie Keyser, Gareth Paul Williams, Michał Nieznański, Philip James Downer, Rebecca Ellen Garnett, Rhiannon Berry, Shamus Louis Godfrey Husheer

Abstract readCase Reports
In one paragraph

Article in BMJ case 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
–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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Exploring the alleviating effects ofFrontiers in microbiology · 2024
    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.

Oriane Elisabeth ChausiauxRinggold ID 612142 Heartfelt Technologies Ltd, Cambridge, UK oriane@hftech.org.
Melanie KeyserRinggold ID 612142 Heartfelt Technologies Ltd, Cambridge, UK.
Gareth Paul WilliamsRinggold ID 612142 Heartfelt Technologies Ltd, Cambridge, UK.
Michał NieznańskiRinggold ID 612142 Heartfelt Technologies Ltd, Cambridge, UK.
Philip James DownerRinggold ID 612142 Heartfelt Technologies Ltd, Cambridge, UK.
Rebecca Ellen GarnettDepartment of Primary Health Care Sciences, University of Oxford, Oxford, UK.
Rhiannon BerryDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Shamus Louis Godfrey HusheerRinggold ID 612142 Heartfelt Technologies Ltd, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure (HF) is a major challenge worldwide and needs continuous monitoring of patients even after hospital discharge. This case report summarises the data collected and experience gained from the first usage of an automated, point-of-care device (Heartfelt device) in a patient's home in the UK. The device monitors the onset of peripheral oedema and alerts clinicians if an increase in volume outside an expected normal range for the patient is detected. This may provide a reliable method of remotely and automatically monitoring HF patients in the home for those who do not reliably use weighing scales. The device successfully provided data for about 15 months and generated alerts in advance, which supported decisions for the patient's care. The rate of data acquisition was very high and consistent throughout this period. The patient was satisfied with the device and agreed that it helped in her decision to seek medical attention.

Indexed as

Heart FailurePoint-of-Care SystemsArtificial IntelligenceFemaleHumansPatient DischargeCardiovascular medicineGeneral practice / family medicineHeart failure

Identifiers

PMID35414581
PMCPMC9006839

What OpenQuestion holds

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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.