Evidence map›Paper›PMID 35145441›Full record

ReviewFrontiers in psychiatry2021

Sleep Disturbances and Depression Are Co-morbid Conditions: Insights From Animal Models, Especially Non-human Primate Model.

Meng Li, Jieqiong Cui, Bonan Xu, Yuanyuan Wei, Chenyang Fu, Xiaoman Lv, Lei Xiong, Dongdong Qin

Abstract readReview
In one paragraph

Review in Frontiers in psychiatry, 2021. 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
–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

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

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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.

Meng LiSchool of Basic Medical Sciences, Yunnan University of Chinese Medicine, Kunming, China.
Jieqiong CuiSchool of Basic Medical Sciences, Yunnan University of Chinese Medicine, Kunming, China.
Bonan XuSchool of Basic Medical Sciences, Yunnan University of Chinese Medicine, Kunming, China.
Yuanyuan WeiSchool of Basic Medical Sciences, Yunnan University of Chinese Medicine, Kunming, China.
Chenyang FuSchool of Basic Medical Sciences, Yunnan University of Chinese Medicine, Kunming, China.
Xiaoman LvSchool of Basic Medical Sciences, Yunnan University of Chinese Medicine, Kunming, China.
Lei XiongSchool of Basic Medical Sciences, Yunnan University of Chinese Medicine, Kunming, China.
Dongdong QinSchool of Basic Medical Sciences, Yunnan University of Chinese Medicine, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence rates of depression are increasing year by year. As one of the main clinical manifestations of depression, sleep disorder is often the first complication. This complication may increase the severity of depression and lead to poor prognosis in patients. In the past decades, there have been many methods used to evaluate sleep disorders, such as polysomnography and electroencephalogram, actigraphy, and videography. A large number of rodents and non-human primate models have reproduced the symptoms of depression, which also show sleep disorders. The purpose of this review is to examine and discuss the relationship between sleep disorders and depression. To this end, we evaluated the prevalence, clinical features, phenotypic analysis, and pathophysiological brain mechanisms of depression-related sleep disturbances. We also emphasized the current situation, significance, and insights from animal models of depression, which would provide a better understanding for the pathophysiological mechanisms between sleep disturbance and depression.

Indexed as

animal modelbrain developmentdepressionnon-human primatesleep

Identifiers

PMID35145441
PMCPMC8821160

What OpenQuestion holds

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Registered trials

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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.