Evidence map›Paper›PMID 36945425›Full record

ArticleResearch square2023

Cortical thickness of the inferior parietal lobule as a potential predictor of relapse in men with alcohol dependence.

Kebing Yang, Ruonan Du, Qingyan Yang, Rongjiang Zhao, Fengmei Fan, Song Chen, Xingguang Luo, Shuping Tan, Zhiren Wang, Ting Yu and 4 more

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Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Kebing YangPeking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital.
Ruonan DuPeking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital.
Qingyan YangPeking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital.
Rongjiang ZhaoPeking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital.
Fengmei FanPeking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital.
Song ChenPeking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital.
Xingguang LuoYale University School of Medicine.
Shuping TanPeking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital.
Zhiren WangPeking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital.
Ting YuPeking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital.
Baopeng TianPeking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital.
Thang M LeYale University School of Medicine.
Chiang-Shan R LiYale University School of Medicine.
Yunlong TanPeking University HuiLongGuan Clinical Medical School, Beijing Huilongguan Hospital.

Funding

Cerebral Correlates of Early Habitual DrinkingR01AA021449 · NIAAA · YALE UNIVERSITY · PI LI, CHIANG-SHAN RAY · 2013 to 2017
$1.2M
NIAAA NIH HHS R01 AA021449
6 · The paper itself

Abstract

Background: Alcohol dependence (AD) is a disorder with a high recurrence rate that leads to a considerable public health burden. The risk of relapse appears to be related to a complex interplay of multiple factors. Herein, we aimed to explore the potential neural predictors of relapse in Chinese male patients with AD. Methods: This study enrolled 58 male patients with AD who had undergone acute detoxification. General demographic information and clinical features were collected. Magnetic resonance imaging (MRI) data were used to measure cortical thickness across 34 regions of the brain. Patients were followed up at 6 months, and 51 patients completed the follow-up visit. These patients were divided into a relapser and an abstainer group. A binary logistic regression analysis was performed to investigate the potential risk factors of relapse. Results: Compared to abstainers, relapsers showed higher inattention and non-planning impulsivity on the 11th version of the Barratt Impulsive Scale. The cortical thicknesses of the inferior-parietal lobule were significantly greater in abstainers compared with those in relapsers. Furthermore, binary logistic regression analysis showed that the thickness of the inferior parietal lobule predicted relapse. Conclusions: Relapsers show poorer impulse control than abstainers, and MRI imaging shows a decreased thickness of the inferior parietal lobule in relapsers. Our results indicate the thickness of the inferior parietal lobule as a potential relapse predictor in male patients with AD.

Indexed as

Alcohol dependenceCortical thicknessInferior parietal lobulePredictorRelapse

Identifiers

PMID36945425
PMCPMC10029073

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