Evidence map›Paper›PMID 38111800›Full record

ReviewHealthcare technology letters2023

Neurotechnological solutions for post-traumatic stress disorder: A perspective review and concept proposal.

Richard Laugharne, Mohsen Farid, Christopher James, Anirban Dutta, Christopher Mould, Noelle Molten, Jonathan Laugharne, Rohit Shankar

Abstract readReview
In one paragraph

Review in Healthcare technology letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. 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

8 authors.

Richard LaugharnePsychoanalytica Community Interest Company St German UK.ORCID https://orcid.org/0000-0002-1183-6933
Mohsen FaridData Science Research Centre University of Derby Derby UK.
Christopher JamesSchool of Engineering University of Warwick Warwick UK.
Anirban DuttaBiomedical Engineering Department University of Lincoln Lincoln UK.
Christopher MouldHouse of Opportunity Salisbury UK.
Noelle MoltenTech4Dev Ogudu, Lagos Nigeria.
Jonathan LaugharnePAX Centre Perth Australia.
Rohit ShankarPsychoanalytica Community Interest Company St German UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-traumatic stress disorder (PTSD) is an anxiety condition caused by exposure to severe trauma. It is characterised by nightmares, flashbacks, hyper-vigilance and avoidance behaviour. These all lead to impaired functioning reducing quality of life. PTSD affects 2-5% of the population globally. Most sufferers cannot access effective treatment, leading to impaired psychological functioning reducing quality of life. Eye movement desensitisation and reprocessing (EMDR) is a non-invasive brain stimulation treatment that has shown significant clinical effectiveness in PTSD. Another treatment modality, that is, trauma-focused cognitive behavioural therapy is also an effective intervention. However, both evidence-based treatments are significantly resource intensive as they need trained therapists to deliver them. A concept of a neuro-digital tool for development is proposed to put to clinical practice of delivering EMDR to improve availability, efficiency and effectiveness of treatment. The evidence in using new technologies to measure sleep, geolocation and conversational analysis of social media to report objective outcome measures is explored. If achieved, this can be fed back to users with data anonymously collated to evaluate and improve the tool. Coproduction would be at the heart of product development so that the tool is acceptable and accessible to people with the condition.

Indexed as

biomedical communicationfeedbackhealth carelearning (artificial intelligence)patient carepatient rehabilitationpatient treatmentrisk analysis

Identifiers

PMID38111800
PMCPMC10725721

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.