Evidence map›Paper›PMID 33391050›Full record

ArticleFrontiers in psychiatry2020

Monitoring Changes in Depression Severity Using Wearable and Mobile Sensors.

Paola Pedrelli, Szymon Fedor, Asma Ghandeharioun, Esther Howe, Dawn F Ionescu, Darian Bhathena, Lauren B Fisher, Cristina Cusin, Maren Nyer, Albert Yeung and 4 more

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 7 pooled it
–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

71 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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11 more citing papers are in PubMed but not listed here.

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

14 authors.

Paola Pedrelli *The Depression Clinical and Research Program, Massachusetts General Hospital, Boston, MA, United States.
Szymon Fedor *The Media Lab, Massachusetts Institute of Technology, Cambridge, MA, United States.
Asma GhandehariounThe Media Lab, Massachusetts Institute of Technology, Cambridge, MA, United States.
Esther HoweDepartment of Psychology, University of California, Berkeley, Berkeley, CA, United States.
Dawn F IonescuJanssen Research and Development, San Diego, CA, United States.
Darian BhathenaThe Media Lab, Massachusetts Institute of Technology, Cambridge, MA, United States.
Lauren B FisherThe Depression Clinical and Research Program, Massachusetts General Hospital, Boston, MA, United States.
Cristina CusinThe Depression Clinical and Research Program, Massachusetts General Hospital, Boston, MA, United States.
Maren NyerThe Depression Clinical and Research Program, Massachusetts General Hospital, Boston, MA, United States.
Albert YeungThe Depression Clinical and Research Program, Massachusetts General Hospital, Boston, MA, United States.
Lisa SangermanoThe Depression Clinical and Research Program, Massachusetts General Hospital, Boston, MA, United States.
David MischoulonThe Depression Clinical and Research Program, Massachusetts General Hospital, Boston, MA, United States.
Johnathan E AlpertDepartment of Psychiatry and Behavioral Sciences, Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, NY, United States.
Rosalind W PicardThe Media Lab, Massachusetts Institute of Technology, Cambridge, MA, United States.

Funding

Leveraging Artificial Intelligence for the assessment of severity of depressive symptomsR01MH118274 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI PEDRELLI, PAOLA, PICARD, ROSALIND W · 2019 to 2023
$2.5M
NIMH NIH HHS R01 MH118274
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligenceassessmentdepressiondigital phenotypingsensors

Identifiers

PMID33391050
PMCPMC7775362

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.