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The establishment of the objective diagnostic markers and personalized medical intervention in patients with major depressive disorder: rationale and protocol

Overview of attention for article published in BMC Psychiatry, July 2016
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Title
The establishment of the objective diagnostic markers and personalized medical intervention in patients with major depressive disorder: rationale and protocol
Published in
BMC Psychiatry, July 2016
DOI 10.1186/s12888-016-0953-z
Pubmed ID
Authors

Xiaozhen Lv, Tianmei Si, Gang Wang, Huali Wang, Qi Liu, Changqing Hu, Jing Wang, Yunai Su, Yu Huang, Hui Jiang, Xin Yu

Abstract

Major depressive disorders (MDD) is a common mental disorder with high prevalence, frequent relapse and associated with heavy disease burden. Heritability, environment and their interaction play important roles in the development of MDD. MDD patients usually display a wide variation in clinical symptoms and signs, while the diagnosis of MDD is relatively subjective. The treatment response varies substantially between different subtypes of MDD patients and only half respond adequately to the first antidepressant. This study aims to define subtypes of MDD, develop multi-dimension diagnostic test and combined predictors for improving the diagnostic accuracy and promoting personalized intervention in MDD patients. This is a multi-center, multi-stage and prospective study. The first stage of this study is a case-control study, aims to explore the risk factors for developing MDD and then define the subtypes of MDD using 1200 MDD patients and 1200 healthy controls with a set of questionnaire. The second stage is a diagnostic test, aims to indentify and replicate the potential indicators to assist MDD diagnosis using 600 MDD patients and 300 healthy controls from the first stage with a set of questionnaire, neuropsychological assessment and a series of biomarkers. The third stage is a 96-week longitudinal study, including 8-week acute period treatment and 88-week stable period treatment, aims to identify overall predictors of treatment effectiveness on MDD at week 8 post treatment and to explore the predictors on MDD prognosis in the following 2 years using 600 MDD patients from the first stage with a set of questionnaire, neuropsychological assessment and a series of biomarkers. The primary outcome measure is the change of the total score of 17-Item Hamilton Rating Scale for Depression. This study will provide strong and suitable evidence for enhancing the accuracy of MDD diagnosis and promoting personalized treatment for MDD patients in clinical practice. ClinicalTrials.gov: NCT02023567 ; registration date: December 2013.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 <1%
Brazil 1 <1%
Unknown 112 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 15%
Student > Ph. D. Student 14 12%
Student > Bachelor 11 10%
Researcher 8 7%
Student > Doctoral Student 6 5%
Other 19 17%
Unknown 39 34%
Readers by discipline Count As %
Psychology 22 19%
Medicine and Dentistry 20 18%
Nursing and Health Professions 6 5%
Neuroscience 4 4%
Agricultural and Biological Sciences 2 2%
Other 15 13%
Unknown 45 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 July 2016.
All research outputs
#18,465,988
of 22,880,691 outputs
Outputs from BMC Psychiatry
#3,894
of 4,703 outputs
Outputs of similar age
#272,643
of 355,956 outputs
Outputs of similar age from BMC Psychiatry
#86
of 115 outputs
Altmetric has tracked 22,880,691 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,703 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 355,956 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.