Evidence map›Paper›PMID 35029537›Full record

ArticleJournal of medical Internet research2022

Fine Detection of Human Motion During Activities of Daily Living as a Clinical Indicator for the Detection and Early Treatment of Chronic Diseases: The E-Mob Project.

David Thivel, Alice Corteval, Jean-Marie Favreau, Emmanuel Bergeret, Ludovic Samalin, Frédéric Costes, Farouk Toumani, Christian Dualé, Bruno Pereira, Alain Eschalier and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 6 institutions in 2 countries.

David Thivel *Clermont Auvergne University, Aubiere, France.ORCID 0000-0003-4687-3555
Alice Corteval *Analgesia Foundation, Clermont-Ferrand, France.ORCID 0000-0002-2172-6375
Jean-Marie Favreau *Clermont Auvergne University, Aubiere, France.ORCID 0000-0002-2460-6336
Emmanuel Bergeret *Clermont Auvergne University, Aubiere, France.ORCID 0000-0001-5739-212X
Ludovic Samalin *Clermont Ferrand University Hospital, Clermont-Ferrand, France.ORCID 0000-0003-0740-4019
Frédéric Costes *Clermont Ferrand University Hospital, Clermont-Ferrand, France.ORCID 0000-0003-0323-1982
Farouk Toumani *Clermont Auvergne University, Aubiere, France.ORCID 0000-0002-5086-3301
Christian Dualé *Clermont Ferrand University Hospital, Clermont-Ferrand, France.ORCID 0000-0002-2333-7357
Bruno Pereira *Clermont Ferrand University Hospital, Clermont-Ferrand, France.ORCID 0000-0003-3778-7161
Alain Eschalier *Clermont Ferrand University Hospital, Clermont-Ferrand, France.ORCID 0000-0001-6778-1057
Nicole Fearnbach *Pennington Biomedical Research Center, Baton Rouge, LA, United States.ORCID 0000-0001-9208-830X
Martine Duclos *Clermont Ferrand University Hospital, Clermont-Ferrand, France.ORCID 0000-0002-7158-386X
Anne Tournadre *Clermont Ferrand University Hospital, Clermont-Ferrand, France.ORCID 0000-0002-5025-0214
Université Clermont Auvergne · FRUnité de Nutrition Humaine · FRPhysiopathologie et pharmacologie de la douleur et de la migraine · FRCentre Hospitalier Universitaire de Clermont-Ferrand · FRInstitut Pascal · FRPennington Biomedical Research Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methods to measure physical activity and sedentary behaviors typically quantify the amount of time devoted to these activities. Among patients with chronic diseases, these methods can provide interesting behavioral information, but generally do not capture detailed body motion and fine movement behaviors. Fine detection of motion may provide additional information about functional decline that is of clinical interest in chronic diseases. This perspective paper highlights the need for more developed and sophisticated tools to better identify and track the decomposition, structuration, and sequencing of the daily movements of humans. The primary goal is to provide a reliable and useful clinical diagnostic and predictive indicator of the stage and evolution of chronic diseases, in order to prevent related comorbidities and complications among patients.

Indexed as

Activities of Daily LivingMovementChronic DiseaseHumansdecompositionfine body motionindicatormovement behaviorssequencingstructuration

Identifiers

PMID35029537
PMCPMC8800083
OpenAlexW4205107849

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.