Evidence map›Paper›PMID 42237978›Full record

ArticleSaudi medical journal2026

An Investigation of the Correlation Between Total Intracranial Volume and Body Mass Index.

Walaa M Alsharif, Fahad H Alhazmi, Ali D Almutairi, Rahaf M Alharbi, Lana M Alsaedi, Razan A Alharbi, Amirah F Alsaedi, Abdulaziz A Qurashi, Adnan A Alahmadi, Khalid M Alshamrani and 4 more

Abstract read
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In one paragraph

Article in Saudi medical journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Walaa M AlsharifDepartment of Diagnostic Radiology, College of Applied Medical Sciences, Taibah University, Al Madinah Al Munawara, Saudi Arabia.ORCID 0000-0001-7607-3255
Fahad H AlhazmiDepartment of Diagnostic Radiology, College of Applied Medical Sciences, Taibah University, Al Madinah Al Munawara, Saudi Arabia.
Ali D AlmutairiMadinah Health Cluster, King Fahad Hospital, MRI Unit.
Rahaf M AlharbiDepartment of Diagnostic Radiology, College of Applied Medical Sciences, Taibah University, Al Madinah Al Munawara, Saudi Arabia.
Lana M AlsaediDepartment of Diagnostic Radiology, College of Applied Medical Sciences, Taibah University, Al Madinah Al Munawara, Saudi Arabia.
Razan A AlharbiDepartment of Diagnostic Radiology, College of Applied Medical Sciences, Taibah University, Al Madinah Al Munawara, Saudi Arabia.
Amirah F AlsaediDepartment of Diagnostic Radiology, College of Applied Medical Sciences, Taibah University, Al Madinah Al Munawara, Saudi Arabia.
Abdulaziz A QurashiDepartment of Diagnostic Radiology, College of Applied Medical Sciences, Taibah University, Al Madinah Al Munawara, Saudi Arabia.
Adnan A AlahmadiRadiologic Sciences Department, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
Khalid M AlshamraniCollege of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Jeddah, Saudi Arabia.
Faisal A AlrehilyDepartment of Diagnostic Radiology, College of Applied Medical Sciences, Taibah University, Al Madinah Al Munawara, Saudi Arabia.
Shrooq T AldaheryApplied Radiologic Technology, College of Applied Medical Sciences, University of Jeddah, Saudi Arabia.
Osamah M AbdulaalDepartment of Diagnostic Radiology, College of Applied Medical Sciences, Taibah University, Al Madinah Al Munawara, Saudi Arabia.
Reem M ElkadyDepartment of Diagnostic Radiology, College of Applied Medical Sciences, Taibah University, Al Madinah Al Munawara, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Total intracranial volume (TICV) is an important covariate in brain volumetric analysis that can vary significantly between participants. This study aimed to investigate the association between body mass index (BMI) and TICV. Methods: 152 healthy volunteers were recruited. The BMI was calculated, and T1-weighted images were acquired to estimate brain volumetric values. The data were analyzed using Results: Male participants have significantly higher GM, WM, CSF, TICV, cerebellum GM, cortical GM, subcortical GM and cerebrum GM volumes compared to female. There were significant differences in GM, TICV, cerebellum GM, cortical GM, subcortical GM and cerebrum GM volumes between BMI subgroups. Dunn-Bonferroni tests revealed that participants with a normal BMI had significantly higher volumes of GM, TICV, cerebellum GM, cortical GM and cerebrum GM compared to individuals with overweight and obese. In addition, subcortical GM volume was significantly higher in participants with normal BMI compared to individuals with obesity. Pearson's correlation analysis revealed that age and BMI are significantly negatively correlated with GM, cerebellum GM, cortical GM, subcortical GM and cerebrum GM. Moreover, BMI was found to be significantly negatively correlated with TICV. The GLM analysis revealed that the association between age, biological sex and BMI had a significant influence on TICV. Conclusion: Brain volumetric measurements were found to be influenced by age, biological sex and BMI and need to be regressed out from volumetric analysis.

Indexed as

Body Mass IndexBrainAdultFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedObesityOrgan SizeYoung AdultBody mass indexBrain volumeIntracranial volumeMagnetic resonance imagingObesity

Identifiers

PMID42237978
PMCPMC13227460

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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.