Evidence map›Paper›PMID 41547774›Full record

ArticleBMC cancer2026

Prognostic value of diffusely increased FDG uptake in spleen and/ or bone marrow due to reticuloendothelial system activation in lymphoma patients.

Yuru Song, Jiaqi Sun, Jing Jiang, Ningjun Xu, Qian Zhao

Abstract read
In one paragraph

Article in BMC cancer, 2026. 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

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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. 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

5 authors.

Yuru SongDepartment of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China.
Jiaqi SunDepartment of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China.
Jing JiangDepartment of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China.
Ningjun XuDivision of Chinese Medicine, School of Pharmacy, Macau Uniersity of Science and Technology, Macau, China.
Qian ZhaoDepartment of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China. cecilia_hh@126.com.

Funding

National Natural Science Foundation of China 82360351
6 · The paper itself

Abstract

objectiveThe primary objective of this investigation was to evaluate the predictive utility of diffusely increased

methodsOur retrospective cohort comprised 629 treatment-naïve lymphoma patients with pathological confirmation who received diagnostic 18 F-FDG PET/CT scans between June 2018 and December 2024. The patients cohort with conditions affecting splenic/bone marrow metabolism (e.g., anemia) or focal uptake were excluded, leaving 142 patients. Based on liver uptake, spleen and bone marrow FDG uptake were classified into two groups: diffusely increased FDG uptake (dFDG, n = 67) and normal FDG uptake (nFDG, n = 75). Hematologic parameters (white blood cells, monocytes, neutrophils, platelets) and inflammatory markers (lactate dehydrogenase [LDH], β

resultsNo statistically significant differences were observed in age, sex, or B symptoms between groups. The dFDG group had more advanced staging (Stage III/IV: 83.6% vs. 52.0%, p < 0.001) and significantly higher inflammatory markers (LDH, β

conclusionDiffuse splenic FDG uptake strongly correlates with systemic inflammation. The SLR emerged as an independent predictor of progression-free survival in our lymphoma cohort. Diffuse bone marrow uptake may involve non-neoplastic factors and requires comprehensive clinicopathological assessment. This study provides new evidence for PET/CT-guided prognostic evaluation in lymphoma.

Indexed as

Bone MarrowFluorodeoxyglucose F18LymphomaMononuclear Phagocyte SystemSpleenAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPositron Emission Tomography Computed TomographyPrognosisRadiopharmaceuticalsRetrospective StudiesFluorodeoxyglucose F18RadiopharmaceuticalsBLRDiffuse uptakeLymphomaReticuloendothelial systemSLR

Identifiers

PMID41547774
PMCPMC12903582

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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.