Evidence map›Paper›PMID 40450646›Full record

ArticleClinical pharmacokinetics2025

Utilizing Opportunistic Computed Tomography Imaging to Refine Lean Body Weight Estimates in Patients with Obesity.

Radin Alikhani, Steven Horbal, Amy E Rothberg, Manjunath P Pai

Abstract read
In one paragraph

Article in Clinical pharmacokinetics, 2025. 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

4 authors.

Radin AlikhaniDepartment of Clinical Pharmacy, College of Pharmacy, University of Michigan, 428 Church St, Ann Arbor, MI, 48108, USA.ORCID 0000-0003-0614-8359
Steven HorbalMichigan Clinical Outcomes Research and Reporting Program, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-9331-2120
Amy E RothbergDepartment of Internal Medicine-Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-0243-9135
Manjunath P PaiDepartment of Clinical Pharmacy, College of Pharmacy, University of Michigan, 428 Church St, Ann Arbor, MI, 48108, USA. amitpai@umich.edu.ORCID 0000-0001-7119-5034

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAVID P OLSON · 2013 to 2026
$24.3M
Pilot and Feasibility (P and F) ProgramP30DK089503 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Karen Eileen Peterson · 2010 to 2026
$20.3M
Michigan Nutrition Obesity Research Center, Medical School, University of Michigan NIH P30DK089503NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK089503
6 · The paper itself

Abstract

introductionWhile dual-energy X-ray absorptiometry (DEXA) is the gold standard for measuring lean body weight (LBW), computed tomography (CT) provides muscle composition and distribution metrics that can refine LBW for better weight-based dosing. We explored how existing computed tomography (CT) images could be utilized to better estimate LBW.

methodsSixty-three adult patients (71.4% female) with a median age of 53.4 years and mean BMI of 36.84 having both DEXA and CT scans were retrospectively analyzed to assess the relationship between CT-based skeletal muscle variables and DEXA-derived LBW.

resultsLinear regression results revealed significant correlations. CT-derived skeletal muscle area (SMA) strongly predicted DEXA-derived LBW (p value < 0.05 and R DISCUSSIONS/

conclusionThis study demonstrates opportunistic CT scan data may improve an existing equation for LBW that has been predictive of select drug pharmacokinetic parameters. Improving LBW estimation may enable improved personalized drug dosing strategies in patients with obesity and other populations that benefit from using LBW over total body weight.

Indexed as

Body WeightObesityTomography, X-Ray ComputedAbsorptiometry, PhotonAdultAgedBody CompositionBody Mass IndexFemaleHumansMaleMiddle AgedMuscle, SkeletalRetrospective Studies

Identifiers

PMID40450646
PMCPMC12185603

What Socratic holds

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LicenceCC BY-NC
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 Socratic graph.