Evidence map›Paper›PMID 33806839›Full record

ArticleCurrent oncology (Toronto, Ont.)2021

Body Composition as a Predictor of Toxicity and Prognosis in Patients with Diffuse Large B-Cell Lymphoma Receiving R-CHOP Immunochemotherapy.

Jiaxun Guo, Panpan Cai, Pengfei Li, Cong Cao, Jing Zhou, Lina Dong, Yan Yang, Qijia Xuan, Jingxuan Wang, Qingyuan Zhang

Open access · goldAbstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

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  13. Improving the prediction of chemotherapy dose-limiting toxicity in colon cancer patients using an AI-CT-based 3D body composition of the entire L1-L5 lumbar spine.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
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  14. Semiquantitative 2-[Frontiers in medicine · 2024
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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

10 authors at 2 institutions in 1 country.

Jiaxun GuoDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin 150040, China.
Panpan CaiDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin 150040, China.
Pengfei LiRadiology Department, Harbin Medical University Cancer Hospital, Harbin 150040, China.
Cong CaoDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin 150040, China.
Jing ZhouDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin 150040, China.
Lina DongDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin 150040, China.
Yan YangDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin 150040, China.
Qijia XuanDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin 150040, China.
Jingxuan WangDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin 150040, China.
Qingyuan ZhangDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin 150040, China.
Third Affiliated Hospital of Harbin Medical University · CNHarbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur study measured the body composition of Diffuse large B-cell lymphoma (DLBCL) patients receiving rituximab with cyclophosphamide, doxorubicin, vincristine and prednisone (R-CHOP) regimen by computed tomographic (CT) and assessed their correlation with treatment-related toxicity and other adverse outcomes.

methodsWe retrospectively analyzed 201 DLBCL patients who underwent pre-treatment abdominal CT examination. CT images were used to assess body composition metrics at the third lumbar vertebrae including fat tissues and muscle. Based on the skeletal muscle area (SMA) and density (SMD), skeletal muscle index (SMI), skeletal muscle gauge (SMG = SMI × SMD) and lean body mass (LBM) were calculated. Also analyzed were the toxicity, adverse events and survival.

resultsWe found that SMG, SMD, SMI and LBM were correlated with any grade 3-4 toxicity, dose reduction, hospitalization or termination of the treatment due to immunochemotherapy and worse survival. However, multivariate analysis demonstrated SMG [progression-free survival (PFS): hazard ratio (HR), 2.889; 95% CI, 1.401-5.959;

conclusionsSMG, SMD, SMI and LBM were identified as predictors of adverse reactions and poor survival. SMG was an innovative and valuable indicator of immunochemotherapy toxicity and other adverse outcomes. Additionally, it can be used to individualize antineoplastic drug dosing.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsLymphoma, Large B-Cell, DiffuseBody CompositionHumansPrognosisRetrospective Studiesdiffuse large B-cell lymphomaimmunochemotherapysarcopeniasurvivaltoxicity

Identifiers

PMID33806839
PMCPMC8025815
OpenAlexW3136678199

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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.