Evidence map›Paper›PMID 33285054›Full record

ArticleCancer research and treatment2021

Baseline Total Metabolic Tumor Volume and Total Lesion Glycolysis Measured on 18F-FDG PET-CT Predict Outcomes in T-Cell Lymphoblastic Lymphoma.

Xiaoyan Feng, Xin Wen, Ling Li, Zhenchang Sun, Xin Li, Lei Zhang, Jingjing Wu, Xiaorui Fu, Xinhua Wang, Hui Yu and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Cancer research and treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 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

15 authors at 1 institution in 1 country.

Xiaoyan FengDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xin WenDepartment of Nuclear Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Ling LiDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhenchang SunDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xin LiDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Lei ZhangDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jingjing WuDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiaorui FuDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xinhua WangDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Hui YuDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xinran MaDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xudong ZhangDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xinli XieDepartment of Nuclear Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xingmin HanDepartment of Nuclear Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Mingzhi ZhangDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThere is no optimal prognostic model for T-cell lymphoblastic lymphoma (T-LBL). Here, we discussed the predictive value of total metabolic tumor volume (TMTV) and total lesion glycolysis (TLG) measured on 18F-fluorodeoxyglucose positron emission tomography-computed tomography (PET-CT) in T-LBL. MATERIALS AND

methodsThirty-seven treatment naïve T-LBL patients with PET-CT scans were enrolled. TMTV was obtained using the 41% maximum standardized uptake value (SUVmax) threshold method, and TLG was measured as metabolic tumor volume multiplied by the mean SUV. Progression-free survival (PFS) and overall survival (OS) were analyzed by Kaplan-Meier curves and compared by the log-rank test.

resultsThe optimal cutoff values for SUVmax, TMTV, and TLG were 12.7, 302 cm3, and 890, respectively. A high SUVmax, TMTV, and TLG indicated a shorten PFS and OS. On multivariable analysis, TMTV ≥ 302 cm3, and central nervous system (CNS) involvement predicted inferior PFS, while high SUVmax, TLG and CNS involvement were associated with worse OS. Subsequently, we generated a risk model comprising high SUVmax, TMTV or TLG and CNS involvement, which stratified the population into three risk groups, which had significantly different median PFS of not reached, 14 months, and 7 months for low-risk group, mediate-risk group, and high-risk group, respectively (p < 0.001). Median OS were not reached, 27 months, and 13 months, respectively (p < 0.001).

conclusionBaseline SUVmax, TMTV, and TLG measured on PET-CT are strong predictors of worse outcome in T-LBL. A risk model integrating these three parameters with CNS involvement identifies patients at high risk of disease progression.

Indexed as

AdolescentAdultAgedChildDisease ProgressionFemaleFluorodeoxyglucose F18HumansKaplan-Meier EstimateMaleMiddle AgedPositron Emission Tomography Computed TomographyPrecursor T-Cell Lymphoblastic Leukemia-LymphomaPrognosisProgression-Free SurvivalRadiopharmaceuticalsFluorodeoxyglucose F18RadiopharmaceuticalsPositron emission tomography–computed tomographyPrognosisT-cell lymphoblastic lymphomaTotal lesion glycolysisTotal metabolic tumor volume

Identifiers

PMID33285054
PMCPMC8291183
OpenAlexW3109099111

What OpenQuestion holds

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LicenceCC BY-NC
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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.