Evidence map›Paper›PMID 35431791›Full record

ArticleFrontiers in neuroscience2022

Study of Sex Differences in Unmedicated Patients With Major Depressive Disorder by Using Resting State Brain Functional Magnetic Resonance Imaging.

Lan Mei, Yuting Wang, Chunyang Liu, Jingping Mou, Yizhi Yuan, Lihua Qiu, Qiyong Gong

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 10% 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.

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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 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

7 authors at 4 institutions in 1 country.

Lan MeiDepartment of Radiology, The Second People's Hospital of Yibin, Yibin, China.
Yuting WangDepartment of Radiology, The Second People's Hospital of Yibin, Yibin, China.
Chunyang LiuDepartment of Radiology, Southwest Medical University, Luzhou, China.
Jingping MouDepartment of Radiology, Southwest Medical University, Luzhou, China.
Yizhi YuanDepartment of Radiology, The Second People's Hospital of Yibin, Yibin, China.
Lihua QiuDepartment of Radiology, The Second People's Hospital of Yibin, Yibin, China.
Qiyong GongHuaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
Southwest Medical University · CNWest China Hospital of Sichuan University · CNChengdu Medical College · CNSecond People’s Hospital of Yibin · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Some important clinical characteristics of major depressive disorder (MDD) differ between sexes. We explored abnormal spontaneous neuronal activity in MDD patients using the amplitude of low-frequency fluctuation (ALFF) and its relationship to clinical manifestations in male and female patients, to seek the neural mechanisms underlying sex-related differences in depression. Twenty-five male MDD patients, 36 female MDD patients, and 25 male and 36 female matched healthy controls (HC) were included. The ALFF difference was investigated among four groups, and partial correlation analysis was used to explore a possible clinical relevance. The main effect results of sex difference were located in the bilateral caudate nucleus and posterior cingulate gyrus.

Indexed as

amplitude of low-frequency fluctuationbrain activityfunctional magnetic brain imaging (fMRI)major depressive disorder (MDD)sex difference

Identifiers

PMID35431791
PMCPMC9008299
OpenAlexW4220919152

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.