Evidence map›Paper›PMID 29934976›Full record

Trial reportESC heart failure2018

Prospective evaluation of integrated device diagnostics for heart failure management: results of the TRIAGE-HF study.

Sean A Virani, Vinod Sharma, Mary McCann, Jodi Koehler, Bernice Tsang, Shelley Zieroth

Open access · goldAbstract readClinical TrialMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Trial report in ESC heart failure, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

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  7. Artificial intelligence in heart failure.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2026
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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

6 authors at 4 institutions in 2 countries.

Sean A ViraniUniversity of British Columbia, 9th Floor-Cardiology, 2775 Laurel Street, Vancouver, BC, V5Z 1M9, Canada.
Vinod SharmaMedtronic Plc., Minneapolis, MN, USA.
Mary McCannMedtronic Plc., Minneapolis, MN, USA.
Jodi KoehlerMedtronic Plc., Minneapolis, MN, USA.
Bernice TsangSouthlake Regional Health Centre, Newmarket, ON, Canada.
Shelley ZierothUniversity of Manitoba, Winnipeg, MB, Canada.
Medtronic (United States) · USSouthlake Regional Health Center · CAUniversity of British Columbia · CAUniversity of Manitoba · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe primary aim of the TRIAGE-HF trial was to correlate cardiac implantable electronic device-generated heart failure risk status (HFRS) with signs, symptoms, and patient behaviours classically associated with worsening heart failure (HF). METHODS AND

resultsTRIAGE-HF enrolled 100 subjects with systolic HF implanted with a Medtronic high-performance device and followed up at three Canadian HF centres. Study follow-up was up to 8 months. The HFRS assigned each subject's overall risk of HF hospitalization in the next 30 days and also highlighted abnormal device parameters contributing to a patient's risk status at the time of remote data transmission. Subjects with a high HFRS were contacted by telephone to assess symptoms, and compliance with prescribed therapies, nutrition, and exercise. Clinician-assessed risk and HFRS-calculated risk were correlated at both study baseline and exit. Twenty-four high HFRS occurrences were observed among 100 subjects. Device parameters associated with increased risk of HF hospitalization included OptiVol index (n = 20), followed by low patient activity (n = 18) and elevated night heart rate (n = 12). High HFRS was associated with symptoms of worsening HF in 63% of cases (n = 15) increasing to 83% of cases (n = 20) when non-compliance with pharmacological therapies and lifestyle was considered.

conclusionsTRIAGE-HF is the first study to provide prospective data on the distribution of abnormal device parameters contributing to high HFRS. High HFRS has good predictive accuracy for patient-reported signs, symptoms, and behaviours associated with worsening HF status. As such, HFRS may be a useful tool for ambulatory HF monitoring to improve both patient-centred and health system level outcomes.

Indexed as

AlgorithmsAgedDiagnostic ImagingDisease ProgressionEquipment DesignFemaleFollow-Up StudiesHeart FailureHospitalizationHumansMalePrognosisProspective StudiesReproducibility of ResultsRisk AssessmentSeverity of Illness IndexHeart failureImplantable device diagnosticsRemote monitoringRisk scores

Identifiers

PMID29934976
PMCPMC6165932
OpenAlexW2809905427

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.