Evidence map›Paper›PMID 33755269›Full record

ArticleHuman brain mapping2021

Human immune deficiency virus-related structural alterations in the brain are dependent on age.

Jing Zhao, Zhe Ma, Feng Chen, Li Li, Meiji Ren, Aixin Li, Bin Jing, Hongjun Li

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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  7. Review
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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 at 1 institution in 1 country.

Jing ZhaoSchool of Biological Science and Medical Engineering, Beihang University, Beijing, China.
Zhe MaDepartment of Radiology, Henan Cancer Hospital, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Feng ChenDepartment of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing, China.
Li LiDepartment of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing, China.
Meiji RenDepartment of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing, China.
Aixin LiCenter for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, China.
Bin JingSchool of Biomedical Engineering, Capital Medical University, Beijing, China.
Hongjun LiSchool of Biological Science and Medical Engineering, Beihang University, Beijing, China.ORCID 0000-0001-5887-5684
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, it is still unknown whether human immune deficiency virus (HIV)-related structural alterations in the brain are dependent on age. With people living with HIV at different ages, we aim to investigate age-specific structural alterations in HIV patients. Eighty-three male HIV patients and eighty-three age-matched male controls were enrolled, and high-resolution T1 weighted images were collected and analyzed with four morphological metrics. Then, statistical analyses were respectively conducted to ascertain HIV effects, age effects, and medication effects in brain structure of HIV patients, and the relationship with neuropsychological evaluations were further explored. Finally, discriminative performances of these structural abnormalities were quantitatively testified with three machine learning models. Compared with healthy controls, HIV patients displayed lower gray matter volumes (GMV), lower gyrification index, deeper sulcus depth, and larger cortical thickness (CTH). Age-specific differences were found in GMV and CTH: young-aged HIV patients displayed more obvious morphological alterations than middle-aged HIV patients when comparing corresponding age-matched healthy controls. Furthermore, age-specific long-term medication effect of combination antiretroviral therapy were also presented. Additionally, several subcortical structural changes were negatively associated with language, attention and motor functions. Finally, three machine learning models demonstrated young-aged HIV patients were easier to be recognized than middle-aged HIV patients. Our study indicated young-aged HIV patients were more vulnerable to HIV infection in brain structure than middle-aged patients, and future studies should not ignore the age effect in studying the HIV-related abnormalities.

Indexed as

AdultAge FactorsCerebral CortexGray MatterHIV InfectionsHumansMachine LearningMagnetic Resonance ImagingMaleMiddle Agedage effectcARTHIVmachine learningstructural MRI

Identifiers

PMID33755269
PMCPMC8193536
OpenAlexW3138921356

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.