Evidence map›Paper›PMID 35740596›Full record

ArticleCancers2022

Metabolic Biomarkers Assessed with PET/CT Predict Sex-Specific Longitudinal Outcomes in Patients with Diffuse Large B-Cell Lymphoma.

Shama Jaswal, Vanessa Sanders, Priyanka Pullarkat, Stephanie Teja, Amber Salter, Marcus P Watkins, Norman Atagu, Daniel R Ludwig, Joyce Mhlanga, Vincent M Mellnick and 8 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

18 authors at 1 institution in 1 country.

Shama JaswalDepartment of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Vanessa SandersDepartment of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Priyanka PullarkatWashington University School of Medicine, St. Louis, MO 63110, USA.
Stephanie TejaDepartment of Medicine, Division of Medical Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Amber SalterDivision of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA.ORCID 0000-0002-1088-110X
Marcus P WatkinsDepartment of Medicine, Division of Medical Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.ORCID 0000-0002-1224-3478
Norman AtaguWashington University School of Medicine, St. Louis, MO 63110, USA.
Daniel R LudwigDepartment of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.ORCID 0000-0002-8131-3003
Joyce MhlangaDepartment of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.ORCID 0000-0002-6136-265X
Vincent M MellnickDepartment of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Linda R PetersonDepartment of Medicine, Division of Cardiology, Washington University School of Medicine, St. Louis, MO 63110, USA.ORCID 0000-0001-8766-4552
Nancy L BartlettDepartment of Medicine, Division of Medical Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Brad S KahlDepartment of Medicine, Division of Medical Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Todd A FehnigerDepartment of Medicine, Division of Medical Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.ORCID 0000-0002-8705-2887
Armin GhobadiDepartment of Medicine, Division of Medical Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Amanda F CashenDepartment of Medicine, Division of Medical Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Neha Mehta-ShahDepartment of Medicine, Division of Medical Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Joseph E IppolitoDepartment of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA.ORCID 0000-0003-1913-5573
Washington University in St. Louis · US

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Paul Calabresi K12 Career Development Award for Clinical OncologyK12CA167540 · NCI · WASHINGTON UNIVERSITY · PI John F. Dipersio, Ramaswamy Govindan · 2012 to 2026
$11.7M
Transdisciplinary Research in Energetics and Cancer (TREC) Training GrantR25CA203650 · NCI · YALE UNIVERSITY · PI IRWIN, MELINDA L · 2016 to 2025
$2.9M
CHARACTERIZATION OF SEXUAL DIMORPHISM IN GLIOMA METABOLISMR00CA218869 · NCI · WASHINGTON UNIVERSITY · PI IPPOLITO, JOSEPH EDWARD · 2018 to 2020
$747k
Understanding Sex Disparities in Gliomas Through Sex Differences in Mitochondrial ActivityR21CA242221 · NCI · WASHINGTON UNIVERSITY · PI IPPOLITO, JOSEPH EDWARD · 2019 to 2020
$376k
NCATS NIH HHS UL1 TR002345NCI NIH HHS K12 CA167540NCI NIH HHS R00 CA218869NCI NIH HHS R21 CA242221NCI NIH HHS R25 CA203650
6 · The paper itself

Abstract

In many cancers, including lymphoma, males have higher incidence and mortality than females. Emerging evidence demonstrates that one mechanism underlying this phenomenon is sex differences in metabolism, both with respect to tumor nutrient consumption and systemic alterations in metabolism, i.e., obesity. We wanted to determine if visceral fat and tumor glucose uptake with fluorodeoxyglucose-positron emission tomography/computed tomography (FDG-PET/CT) could predict sex-dependent outcomes in patients with diffuse large B-cell lymphoma (DLBCL). We conducted a retrospective analysis of 160 patients (84 males; 76 females) with DLBCL who had imaging at initial staging and after completion of therapy. CT-based relative visceral fat area (rVFA), PET-based SUVmax normalized to lean body mass (SULmax), and end-of-treatment FDG-PET 5PS score were calculated. Increased rVFA at initial staging was an independent predictor of poor OS only in females. At the end of therapy, increase in visceral fat was a significant predictor of poor survival only in females. Combining the change in rVFA and 5PS scores identified a subgroup of females with visceral fat gain and high 5PS with exceptionally poor outcomes. These data suggest that visceral fat and tumor FDG uptake can predict outcomes in DLBCL patients in a sex-specific fashion.

Indexed as

body compositionCTDLBCLFDG-PETglucose metabolismlymphomasex differencesvisceral fat

Identifiers

PMID35740596
PMCPMC9221486
OpenAlexW4282940353

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.