Evidence map›Paper›PMID 39632091›Full record

ArticleeNeuro2024

Genetically Supported Causality between Brain Structural Connectome and Sleep Duration in Children: A Two-Sample Mendelian Randomization Study.

Ruijie Zhang, Liyan Luo, Lu Zhang, Xinao Lin, Chuyan Wu, Feng Jiang, Jimei Wang

Abstract read
In one paragraph

Article in eNeuro, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Causal Mediation Analysis of the Effect of Dietary Habits on Sleep Apnea Risk.Combinatorial chemistry & high throughput screening · 2026
    Article
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.

Ruijie ZhangDepartment of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200011, China.
Liyan LuoDepartment of Neonatology, Dali Bai Autonomous Prefecture Maternal and Child Health Care Hospital, Dali 671000, China.
Lu ZhangDepartment of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200011, China.
Xinao LinDepartment of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200011, China.
Chuyan WuDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Feng JiangDepartment of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200011, China wjm821920@163.com dxyjiang@163.com.
Jimei WangDepartment of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai 200011, China wjm821920@163.com dxyjiang@163.com.ORCID 0000-0002-6755-8709

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Certain structural brain connections have been confirmed to influence sleep duration in children. However, the causal relationships between all brain regions and children's sleep duration remain unclear. A two-sample Mendelian randomization analysis was conducted using data from genome-wide association studies (GWAS) to examine the relationships between 206 structural connections and sleep duration in children. Sensitivity analyses were employed to validate the findings and assess the robustness of the causal inferences. Stronger connectivity from the left hemisphere (LH) control network to the accumbens (

Indexed as

BrainConnectomeGenome-Wide Association StudyMendelian Randomization AnalysisSleepChildFemaleHumansMagnetic Resonance ImagingMaleNerve NetSleep DurationWhite Matterbrain networkschildrenMendelian randomizationsleep durationstructural connectivity

Identifiers

PMID39632091
PMCPMC11654012

What OpenQuestion holds

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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.