Evidence map›Paper›PMID 38283288›Full record

ArticleFrontiers in public health2023

Continuous monitoring of eating and sleeping behaviors in the home environments of older adults: a case study demonstration.

Aditya Narayan, Margo Goncharova, Max Goncharov, Andrew Gostine, Nirav R Shah, Robert M Kaplan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in public health, 2023. 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

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.

Aditya NarayanStanford University School of Medicine, Palo Alto, CA, United States.
Margo GoncharovaArtisight, Chicago, IL, United States.
Max GoncharovArtisight, Chicago, IL, United States.
Andrew GostineArtisight, Chicago, IL, United States.
Nirav R ShahDepartment of Medicine, Clinical Excellence Research Center, Stanford University, Palo Alto, CA, United States.
Robert M KaplanDepartment of Medicine, Clinical Excellence Research Center, Stanford University, Palo Alto, CA, United States.

Funding

Continuous ADL monitoring using computer vision to maintain independence and improve HRQoL in older adults at risk for AD/ADRDR21AG073357 · NIA · CHERRY LABS, INC. · PI HENG, JIUNN BENJAMIN, KAPLAN, ROBERT M · 2022 to 2023
$378k
NIA NIH HHS R21 AG073357
6 · The paper itself

Abstract

Accurate observation of patient functioning is necessary for rigorous clinical research and for improving the quality of patient care. However, clinic or laboratory environments systematically differ from the contexts of everyday life. Further, assessments that are completed in a single institutional session may not be generalizable. Here, we describe a computer vision methodology that measures human functioning continuously in the environments where patients live, sleep, and eat.

Indexed as

Activities of Daily LivingHome EnvironmentAgedHumansSleepactivities of daily livingaging in place seniorsartifical inteligencecomputer visiondigital health

Identifiers

PMID38283288
PMCPMC10811267

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.