Evidence map›Paper›PMID 29445283›Full record

ArticleNeuropsychiatric disease and treatment2018

Application value of selected serum indicators in the differential diagnosis of geriatric depression and transient depressive state.

Yuhao Xu, Shun Yao, Hong Wei, Xiaolan Zhu, Ming Yu, Yuefeng Li

Open access · goldAbstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

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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

2 citing papers in PubMed, 4 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Yuhao Xu *Department of Neurology, The Affiliated Hospital of Jiangsu University, Zhenjiang, People's Republic of China.
Shun Yao *Department of Radiology, The Affiliated Hospital of Jiangsu University, Zhenjiang, People's Republic of China.
Hong WeiDepartment of Neurology, The Affiliated Hospital of Jiangsu University, Zhenjiang, People's Republic of China.
Xiaolan ZhuDepartment of Central Laboratory, The Fourth Affiliated Hospital of Jiangsu University, Zhenjiang, People's Republic of China.
Ming YuDepartment of Neurology, The Affiliated Hospital of Jiangsu University, Zhenjiang, People's Republic of China.
Yuefeng LiDepartment of Radiology, The Affiliated Hospital of Jiangsu University, Zhenjiang, People's Republic of China.
Jiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTransient depressive state (TDS) is a transient, negative emotional state caused by certain events or situations. Because of the similarity in depressive symptoms between depression and TDS that arise within 2 weeks of their onset, it is difficult to distinguish TDS from depression. The aims of the present study were to investigate the application value of selected serum indicators in the differential diagnosis of geriatric depression and TDS in the early stage and to provide evidence for treatment. PATIENTS AND

methodsIn this study, a total of 274 elderly patients were divided into the depression group (n=144) and the TDS group (n=130). All participants' serum samples were collected, and 9 selected serum indicators were analyzed. Afterward, 90 patients with depression and 90 patients with TDS were used to build the diagnostic model. A binary logistic regression analysis was used to establish regression models, and the area under the receiver operating characteristic (ROC) curve was drawn. Finally, another 54 patients with depression and 40 patients with TDS were used to validate our model.

resultsFor the 9 screening serum indicators, the 3 serum indicators selected to build the regression model were BDNF (

conclusionThe logistic regression model and ROC curves based on serum levels of BDNF, IL-1β, and cortisol could distinguish depression from TDS in early stage, which could provide assistance to the differential diagnosis of geriatric depression and TDS.

Indexed as

CCMD-3depressionlogistic regressionROC curvetransient depressive state

Identifiers

PMID29445283
PMCPMC5810520
OpenAlexW2790651904

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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.