Evidence map›Paper›PMID 29097412›Full record

SynthesisAJNR. American journal of neuroradiology2018

Brain Structural Changes following HIV Infection: Meta-Analysis.

E E O'Connor, Timothy A Zeffiro, Thomas A Zeffiro

Abstract readMeta-Analysis
In one paragraph

Synthesis in AJNR. American journal of neuroradiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 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

46 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  19. Dopamine, Immunity, and Disease.Pharmacological reviews · 2023
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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

3 authors.

E E O'ConnorFrom the Department of Radiology (E.E.O.), University of Maryland Medical System, Baltimore, Maryland erin.oconnor@umm.edu.ORCID 0000-0002-9483-1117
Timothy A ZeffiroNeurometrika (Timothy A. Zeffiro, Thomas A. Zeffiro), Potomac, Maryland.ORCID 0000-0002-4345-6943
Thomas A ZeffiroNeurometrika (Timothy A. Zeffiro, Thomas A. Zeffiro), Potomac, Maryland.ORCID 0000-0002-0846-4577

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNumerous studies have used structural neuroimaging to measure HIV effects on brain macroarchitecture. While many have reported changes in total brain volume, gray matter volume, white matter volume, CSF volume, and basal ganglia volume following HIV infection, quantitative inconsistencies observed across studies are large. PURPOSE: Our aim was to evaluate the consistency and temporal stability of serostatus effects on a range of structural neuroimaging measures. DATA SOURCES: PubMed, reference lists, and corresponding authors. STUDY SELECTION: The meta-analysis included 19 cross-sectional studies reporting HIV effects on cortical and subcortical volume from 1993 to 2016. DATA ANALYSIS: Random-effects meta-analysis was used to estimate individual study standardized mean differences and study heterogeneity. Meta-regression was used to examine the effects of the study publication year. DATA SYNTHESIS: Meta-analysis revealed standardized mean differences related to the serostatus of -0.65 ( LIMITATIONS: Many studies pooled participants with varying durations of treatment, disease, and comorbidities. Image-acquisition methods changed with time.

conclusionsWhile published studies of HIV effects on brain structure had substantial variations that are likely to result from changes in HIV treatment practice during the study period, quantitative neurostructural measures can reliably detect the effects of HIV infection during treatment, serving as reliable biomarkers.

Indexed as

BrainCross-Sectional StudiesHIV InfectionsHumansMagnetic Resonance ImagingMaleNeuroimaging

Identifiers

PMID29097412
PMCPMC7410705

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.