Evidence map›Paper›PMID 33162855›Full record

ArticleFocus (American Psychiatric Publishing)2020

Real-Time Monitoring: A Key Element in Personalized Health and Precision Health.

John Zulueta, Alex D Leow, Olusola Ajilore

Abstract read
In one paragraph

Article in Focus (American Psychiatric Publishing), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Digital Neuropsychology beyond Computerized Cognitive Assessment: Applications of Novel Digital Technologies.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. NNDC Special Issue: Challenges of Mood Disorders Care.Focus (American Psychiatric Publishing) · 2020
    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

3 authors.

John ZuluetaDepartment of Psychiatry, College of Medicine (all authors), and Department of Bioengineering and Computer Science, College of Engineering (Leow), all at the University of Illinois at Chicago.
Alex D LeowDepartment of Psychiatry, College of Medicine (all authors), and Department of Bioengineering and Computer Science, College of Engineering (Leow), all at the University of Illinois at Chicago.
Olusola AjiloreDepartment of Psychiatry, College of Medicine (all authors), and Department of Bioengineering and Computer Science, College of Engineering (Leow), all at the University of Illinois at Chicago.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current management of psychiatric disorders relies heavily on retrospective, subjective reports provided by patients and their families. Consequently, psychiatric services are often provisioned inefficiently and with suboptimal outcomes. Recent advances in computing and sensor technologies have enabled the development of real-time monitoring systems for the diagnosis and management of psychiatric disorders. The state of these technologies is rapidly evolving, with passive monitoring and predictive modeling as two areas that have great potential to affect psychiatric care. Although outpatient psychiatry probably stands to benefit the most from the use of real-time monitoring technologies, there are also several ways in which inpatient psychiatry may also benefit. As the capabilities of these technologies increase and their use becomes more common, many ethical and legal issues will need to be considered. The role of governmental regulatory bodies and nongovernmental organizations in providing oversight of the implementation of these technologies is an active area of discussion.

Indexed as

Biological MarkersmHealthpatient-specific modelingphenotype

Identifiers

PMID33162855
PMCPMC7587889

What OpenQuestion holds

Textmetadata
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.