Evidence map›Paper›PMID 28661268›Full record

ArticleThe Journal of international medical research2017

Attentional bias scores in patients with depression and effects of age: a controlled, eye-tracking study.

Shengfu Lu, Jiying Xu, Mi Li, Jia Xue, Xiaofeng Lu, Lei Feng, Bingbing Fu, Gang Wang, Ning Zhong, Bin Hu

Abstract read
In one paragraph

Article in The Journal of international medical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. EEG-based mild depression recognition using convolutional neural network.Medical & biological engineering & computing · 2019
    Article
  14. Article
  15. Article
  16. 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

10 authors.

Shengfu Lu1 Beijing Advanced Innovation Centre for Future Internet Technology, Beijing University of Technology, Beijing, China.
Jiying Xu1 Beijing Advanced Innovation Centre for Future Internet Technology, Beijing University of Technology, Beijing, China.
Mi Li1 Beijing Advanced Innovation Centre for Future Internet Technology, Beijing University of Technology, Beijing, China.
Jia Xue1 Beijing Advanced Innovation Centre for Future Internet Technology, Beijing University of Technology, Beijing, China.
Xiaofeng Lu1 Beijing Advanced Innovation Centre for Future Internet Technology, Beijing University of Technology, Beijing, China.
Lei Feng5 Mood Disorders Centre & China Clinical Research Centre for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Bingbing Fu5 Mood Disorders Centre & China Clinical Research Centre for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Gang Wang5 Mood Disorders Centre & China Clinical Research Centre for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Ning Zhong1 Beijing Advanced Innovation Centre for Future Internet Technology, Beijing University of Technology, Beijing, China.
Bin Hu9 Ubiquitous Awareness and Intelligent Solutions Laboratory, Lanzhou University, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective To compare the attentional bias of depressed patients and non-depressed control subjects and examine the effects of age using eye-tracking technology in a free-viewing set of tasks. Methods Patients with major depressive disorder (MDD) and non-depressed control subjects completed an eye-tracking task to assess attention of processing negative, positive and neutral facial expressions. In this cross-sectional study, the tasks were separated in two types (neutral versus happy faces and neutral versus sad faces) and assessed in two age groups ('young' [18-30 years] and 'middle-aged' [31-55 years]). Results Compared with non-depressed control subjects ( n = 75), patients with MDD ( n = 90) had a significant reduced positive attentional bias and enhanced negative attentional bias irrespective of age. The positive attentional bias in 'middle-aged' patients with MDD was significantly lower than in 'young' patients, although there was no difference between the two age groups in negative attentional bias. Conclusions These results confirm that there are emotional attentional biases in patients with MDD and that positive attentional biases are influenced by age.

Indexed as

AdolescentAdultAttentionBiasCase-Control StudiesDepressionEye MovementsFacial ExpressionFemaleHumansMaleMiddle AgedYoung Adultattentional biasDepressioneye-tracking

Identifiers

PMID28661268
PMCPMC5718726

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.