Evidence map›Paper›PMID 36963907›Full record

ArticleThe Lancet. Digital health2023

Machine learning COVID-19 detection from wearables.

Bret Nestor, Jaryd Hunter, Raghu Kainkaryam, Erik Drysdale, Jeffrey B Inglis, Allison Shapiro, Sujay Nagaraj, Marzyeh Ghassemi, Luca Foschini, Anna Goldenberg

2 registry-linked trialsAbstract read
In one paragraph

Article in The Lancet. Digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

NCT06207929 completednot on this mapstarted 2024, after this paper: background citation

Wearable Assisted Viral Evidence (WAVE) Study A Decentralized, Prospective Study Exploring the Relationship Between Passively-collected Data From Wearable Activity Devices and Respiratory Viral Infections

TypeobservationalSponsorEvidation HealthRan2024 to 2024Enrolled18,157ConditionsInfluenza, Human, COVID-19, Influenza A, Influenza B
NCT06229444 nacompletednot on this mapstarted 2024, after this paper: background citation

Predict + Protect: A Randomized Controlled Trial Exploring the Effectiveness of a Predictive Health Education Intervention on the Adoption of Protective Behaviors Related to Influenza-like Illness (ILI)

TypeinterventionalSponsorEvidation HealthRan2024 to 2024Enrolled17,043ConditionsInfluenza, Influenza A, Influenza B, COVID-19ArmsILI Predictive Alerts, Reactive Content, and Proactive Content, ILI Predictive Alerts, Reactive Content, Proactive Content, No Intervention
3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
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  7. Artificial intelligence in the neonatal intensive care unit: the time is now.Journal of perinatology : official journal of the California Perinatal Association · 2024
    Review
  8. 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

10 authors.

Bret NestorDepartment of Computer Science, University of Toronto, Toronto, ON M5S 3H5, Canada; Vector Institute, Toronto, ON, Canada; Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada.
Jaryd HunterGenetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada.
Raghu KainkaryamEvidation Health, San Mateo, CA, USA.
Erik DrysdaleGenetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada.
Jeffrey B InglisInterdepartmental Graduate Program in Dynamical Neuroscience, University of California, Santa Barbara, Santa Barbara, CA, USA.
Allison ShapiroEvidation Health, San Mateo, CA, USA.
Sujay NagarajDepartment of Computer Science, University of Toronto, Toronto, ON M5S 3H5, Canada; Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada.
Marzyeh GhassemiDepartment of Computer Science, University of Toronto, Toronto, ON M5S 3H5, Canada; Vector Institute, Toronto, ON, Canada; Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Luca FoschiniEvidation Health, San Mateo, CA, USA; Sage Bionetworks, Seattle, WA, USA.
Anna GoldenbergDepartment of Computer Science, University of Toronto, Toronto, ON M5S 3H5, Canada; Vector Institute, Toronto, ON, Canada; Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada; CIFAR, Toronto, ON, Canada. Electronic address: anna.goldenberg@utoronto.ca.

Funding

DIGITAL HEALTH SOLUTIONS FOR COVID-19: COVID-19 ONGOING MONITORING (COMMUNITY)75N91020C00034 · NCI · EVIDATION HEALTH, INC. · PI FOSCHINI, LUCA · 2020 to 2021
$800k
NCI NIH HHS 75N91020C00034
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19Wearable Electronic DevicesHumans

Identifiers

PMID36963907
PMCPMC10032660

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.