Evidence map›Paper›PMID 31110950›Full record

ArticleInternet interventions2019

Smartphone-based emotion recognition skills training for alexithymia - A randomized controlled pilot study.

Christian Aljoscha Lukas, Hugo Trevisi Fuentes, Matthias Berking

Open access · goldAbstract read
In one paragraph

Article in Internet interventions, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Psychological Treatments for Alexithymia: A Systematic Review.Behavioral sciences (Basel, Switzerland) · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Social-specific impairment of negative emotion perception in alexithymia.Social cognitive and affective neuroscience · 2022
    Article
  10. Article
  11. Article
  12. Article
  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

3 authors at 1 institution in 1 country.

Christian Aljoscha LukasClinical Psychology and Psychotherapy, Friedrich-Alexander-University Erlangen-Nuremberg, Germany.
Hugo Trevisi FuentesClinical Psychology and Psychotherapy, Friedrich-Alexander-University Erlangen-Nuremberg, Germany.
Matthias BerkingClinical Psychology and Psychotherapy, Friedrich-Alexander-University Erlangen-Nuremberg, Germany.
Friedrich-Alexander-Universität Erlangen-Nürnberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeurobiological studies suggest that deficits in emotion recognition are common phenomena in alexithymia. Thus, effective treatments for alexithymia often include skills training in the domain of emotion recognition. Given that smartphone-based interventions (SBIs) offering skills training have been shown to be promising adjuncts to psychological treatments, a blended SBI facilitating the training of emotional skills might be effective in reducing alexithymia.

methodsIn this pilot trial,

resultsOn average, participating in the SBI was associated with a significant increase in computer-assessed emotion recognition skills compared to the control condition (

conclusionsStudy findings provide preliminary evidence that SBIs can improve emotion recognition skills in alexithymic individuals. Research using larger samples and targeting clinical populations is necessary to further evaluate the potential of MT-ALEX.

Indexed as

AlexithymiaEmotion recognitionMobile interventionSmartphoneTraining

Identifiers

PMID31110950
PMCPMC6510700
OpenAlexW2943527416

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.