Evidence map›Paper›PMID 31819044›Full record

ReviewTranslational psychiatry2019

The rise and fall of MRI studies in major depressive disorder.

Chuanjun Zhuo, Gongying Li, Xiaodong Lin, Deguo Jiang, Yong Xu, Hongjun Tian, Wenqiang Wang, Xueqin Song

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Translational psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05466851 (An Exploratory Study Examining Biopsychosocial Markers of Anxiety and Depression), which is not on this map. Cited by 56 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 2 pooled it
5.6field-weighted citation impact, top 3% 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.

NCT05466851 recruitingnot on this mapstarted 2023, after this paper: background citation

An Exploratory Study Examining Biopsychosocial Markers of Anxiety and Depression

TypeobservationalSponsorSingula InstituteRan2023 to 2032Enrolled200ConditionsDepression, Anxiety Disorders, Stress Related Disorder
3 · Its place in the literature

Who cites it

56 citing papers in PubMed, 2 syntheses or guidelines pooled it, 116 citations in OpenAlex.

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  19. Deconstructing depression by machine learning: the POKAL-PSY study.European archives of psychiatry and clinical neuroscience · 2024
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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 at 5 institutions in 1 country.

Chuanjun ZhuoDepartment of Psychiatry, The First Affiliated Hospital of Zhengzhou University, 450000, Zhengzhou, China. chuanjunzhuotjmh@163.com.ORCID http://orcid.org/0000-0002-3793-550X
Gongying LiDepartment of Psychiatry Pattern Recognition, Department of Genetics Laboratory of Schizophrenia, School of Mental Health, Jining Medical University, 272119, Jining, China.
Xiaodong LinDepartment of Psychiatry, Wenzhou Seventh People's Hospital, 325000, Wenzhou, China.
Deguo JiangDepartment of Psychiatry, Wenzhou Seventh People's Hospital, 325000, Wenzhou, China.
Yong XuDepartment of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.ORCID http://orcid.org/0000-0001-9679-2273
Hongjun TianDepartment of Psychiatric-Neuroimaging-Genetics and Co-Morbidity Laboratory (PNGC_Lab), Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin Medical University Mental Health Teaching Hospital, 300222, Tianjin, Shandong Province, China.
Wenqiang WangBiological Psychiatry of Co-Collaboration Laboratory of China and Canada, Xiamen Xianyue Hospital and University of Alberta, Xiamen Xianyue Hospital, 361000, Xiamen, China.
Xueqin SongDepartment of Psychiatry, The First Affiliated Hospital of Zhengzhou University, 450000, Zhengzhou, China. sxqzhll@126.com.
Shanxi Medical University · CNWenzhou City People's Hospital · CNFirst Affiliated Hospital of Zhengzhou University · CNJining Medical University · CNTianjin Anding Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural and functional brain alterations are common in patients with major depressive disorder (MDD). In this review, we assessed the recent literature (1995-2018) on the structural and functional magnetic resonance imaging (MRI) studies of MDD. Despite the growing number of MRI studies on MDD, reverse inference is not possible as MRI scans cannot be used to aid in the diagnosis or treatment planning of patients with MDD. Hence, researchers must develop "bridges" to overcome the reverse inference fallacy in order to build effective tools for MDD diagnostics. From our findings, we proposed that the "bridges" may be built using multidisciplinary technologies, such as artificial intelligence, multimodality imaging, and nanotheranostics, allowing for the further study of MDD at the biological level. In return, the "bridges" will aid in the development of future diagnostics for MDD and other mental disorders.

Indexed as

Magnetic Resonance ImagingMajor Depressive DisorderNeuroimagingHumans

Identifiers

PMID31819044
PMCPMC6901449
OpenAlexW2991970297

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.