Evidence map›Paper›PMID 41001487›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Sensor Estimated Home 6-Minute Walk Distance and Cardiac Effort in Pulmonary Hypertension and Heart Failure.

Daniel Lachant, Nishit Agarwal, Kyle Norton, Deborah Haight, Sebastian Alphonse, Brett Meyer, Kevin Machado Gamboa, Paolo Depetrillo, Hailey Patterson, Becca Slepian and 3 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Daniel Lachant
Nishit Agarwal
Deborah Haight
Sebastian AlphonseORCID 0000-0002-7965-1732
Kevin Machado Gamboa
Paolo Depetrillo
Hailey Patterson
Becca Slepian
R James White
Melissa Ceruolo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sensor-based estimation of six-minute walk distance and Cardiac Effort, number of heartbeats during the walk divided by distance walked, can be measured in the home. This study aimed to evaluate 1) the impact of walking course length on walk distance and Cardiac Effort, and 2) assess changes over time in a cohort of pulmonary hypertension and heart failure participants. Methods: This was a prospective observational study conducted at two sites. Participants included pulmonary hypertension, heart failure, and healthy controls. All participants wore chest-based sensors capable of recording accelerometry and electrocardiographic data. At baseline visit, participants performed a six-minute walk test on both a 90-ft and a 30-ft course, separated by 30-minutes rest. Unsupervised home walk tests were performed on the following two days. All assessments were repeated eight weeks later. Walk distance and Cardiac Effort were measured using three methods: direct observation, lap count estimation, and a signal-derived method based on mean amplitude deviation. Comparisons between clinic and home-based measurements were made using paired t-tests, correlation analysis, and Bland-Altman testing. Results: Sixty-six participants were enrolled, including 42 with pulmonary hypertension or heart failure and 24 controls. Walk distance on the 90-foot course was 10.7 percent longer than on the 30-ft course. Home-based walk distance was similar to the 30-ft course but lower than the 90-ft course. Home Cardiac Effort was similar to in-clinic values and tracked with changes over time. Conclusion: Home-based functional testing incorporating Cardiac Effort may offer a simple and effective remote metric to improve management of patients with heart failure.

Identifiers

PMID41001487
PMCPMC12458489

What Socratic holds

Textmetadata
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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 Socratic graph.