Evidence map›Paper›PMID 40498167›Full record

ArticleAnnals of hematology2025

Feasibility analysis of metabolic parameters based on baseline

Fan Ge, Tingting Wu, Xinyue Yang, Mengye Peng, Chen Yang, Kezheng Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of hematology, 2025. 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
–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

1 citing paper in PubMed.

  1. Can we obtain prognostic information from healthy tissue uptake and volume in baselineEuropean journal of nuclear medicine and molecular imaging · 2026
    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

6 authors.

Fan Ge *PET-CT/MRI Department, Harbin Medical University Cancer Hospital, No.150 Haping Road, Harbin, Heilongjiang, China.
Tingting Wu *Department of Radiology, The First People's Hospital of Shuangliu District, West China Airport Hospital of Sichuan University, No. 120 of Chengbei Street, Dongsheng Town, Shuangliu District, Sichuan, Chengdu, 610200, China.
Xinyue YangPET-CT/MRI Department, Harbin Medical University Cancer Hospital, No.150 Haping Road, Harbin, Heilongjiang, China.
Mengye PengPET-CT/MRI Department, Harbin Medical University Cancer Hospital, No.150 Haping Road, Harbin, Heilongjiang, China.
Chen YangPET-CT/MRI Department, Harbin Medical University Cancer Hospital, No.150 Haping Road, Harbin, Heilongjiang, China.
Kezheng WangPET-CT/MRI Department, Harbin Medical University Cancer Hospital, No.150 Haping Road, Harbin, Heilongjiang, China. wangkezheng9954001@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to evaluate the predictive value of intra-tumoral

methodsWe retrospectively included 245 patients with DLBCL who underwent

resultsClinicopathological and PET/CT data from 245 patients were reviewed. 153 patients (62.4%) experienced relapse after treatment. Comparing relapsed and non-relapse patients, all

conclusionsHF1 and HF2 obtained by the linear regression slope of MTV and TLG may be a novel and useful prognostic marker in DLBCL, which can achieve survival-risk stratification of patients. In addition, multiparametric models have the potential to effectively predict the risk of recurrence in patients.

Indexed as

Fluorodeoxyglucose F18Lymphoma, Large B-Cell, DiffuseNeoplasm Recurrence, LocalPositron Emission Tomography Computed TomographyAdultAgedAged, 80 and overFeasibility StudiesFemaleGlycolysisHumansMaleMiddle AgedPrognosisRadiopharmaceuticalsRetrospective StudiesFluorodeoxyglucose F18Radiopharmaceuticals[18F]FDG PET/CTDiffuse large B-cell lymphomaHeterogeneity factorMetabolic parametersProgression-free survival

Identifiers

PMID40498167
PMCPMC12334437

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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.