Evidence map›Paper›PMID 33081864›Full record

ReviewCNS spectrums2022

Obsessive-compulsive disorder-contamination fears, features, and treatment: novel smartphone therapies in light of global mental health and pandemics (COVID-19).

Baland Jalal, Samuel R Chamberlain, Trevor W Robbins, Barbara J Sahakian

Open access · hybridAbstract readReview
In one paragraph

Review in CNS spectrums, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
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  12. Variation in Obsessive-Compulsive Disorder Symptoms and Treatments: A Side Effect of COVID-19.International journal of environmental research and public health · 2021
    Review
  13. 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

4 authors at 1 institution in 1 country.

Baland JalalDepartment of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.ORCID 0000-0003-2033-0042
Samuel R ChamberlainDepartment of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.ORCID 0000-0001-7014-8121
Trevor W RobbinsBehavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom.
Barbara J SahakianDepartment of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
University of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review aims to shed light on the symptoms of obsessive-compulsive disorder (OCD) with a focus on contamination fears. In addition, we will briefly review the current therapies for OCD and detail what their limitations are. A key focus will be on discussing how smartphone solutions may provide approaches to novel treatments, especially when considering global mental health and the challenges imposed by rural environments and limited resources; as well as restrictions imposed by world-wide pandemics such as COVID-19. In brief, research that questions this review will seek to address include: (1) What are the symptoms of contamination-related OCD? (2) How effective are current OCD therapies and what are their limitations? (3) How can novel technologies help mitigate challenges imposed by global mental health and pandemics/COVID-19.

Indexed as

COVID-19Obsessive-Compulsive DisorderFearHumansMental HealthPandemicsSmartphonecontamination fearsCOVID-19.global mental healthObsessive–compulsive disordersmartphone therapies

Identifiers

PMID33081864
PMCPMC7691644
OpenAlexW3094398906

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.