Evidence map›Paper›PMID 35875083›Full record

ArticleFrontiers in oncology2022

Rapid Standardized CT-Based Method to Determine Lean Body Mass SUV for PET-A Significant Improvement Over Prediction Equations.

Terence A Riauka, Vickie E Baracos, Rebecca Reif, Freimut D Juengling, Don M Robinson, Marguerite Wieler, Alexander J B McEwan

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

7 authors at 2 institutions in 2 countries.

Terence A RiaukaDivision of Medical Physics, Department of Oncology, University of Alberta, Edmonton, AB, Canada.
Vickie E BaracosDivision of Palliative Care Medicine, Department of Oncology, University of Alberta, Edmonton, AB, Switzerland.
Rebecca ReifDivision of Oncologic Imaging, Department of Oncology, University of Alberta, Edmonton, AB, Canada.
Freimut D JuenglingDivision of Oncologic Imaging, Department of Oncology, University of Alberta, Edmonton, AB, Canada.
Don M RobinsonDivision of Medical Physics, Department of Oncology, University of Alberta, Edmonton, AB, Canada.
Marguerite WielerDepartment of Physical Therapy, University of Alberta, Edmonton, AB, Canada.
Alexander J B McEwanDivision of Oncologic Imaging, Department of Oncology, University of Alberta, Edmonton, AB, Canada.
University of Alberta · CAUniversity of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Methods: Whole-body Results: This consecutive sample of patients undergoing usual care (men, n = 96; women, n = 99) varied in body mass (38-127 kg) and in Body Mass Index (BMI) (14.7-47.2 kg/m2). LBM Conclusions: CT-based LBM determinations incorporate the patient's current body composition at the time of a PET/CT study, and the information garnered can provide care teams with information with which to more accurately determine FDG uptake values, allowing comparability over multiple scans and treatment courses and will provide a robust basis for the use of PET Response Criteria in Solid Tumors (PERCIST) in clinical trials.

Indexed as

LBMPETPET/CTSULSUV

Identifiers

PMID35875083
PMCPMC9302197
OpenAlexW4284707901

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.