Evidence map›Paper›PMID 40146454›Full record

ArticleDiscover oncology2025

Evaluating ΔMTV%, ΔD

Yali Cui, Yao Li, Wenhao Hu, Zhifang Wu, Sijin Li, Hongliang Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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.

Yali Cui *Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, 030001, Shanxi, People's Republic of China.
Yao Li *Department of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, 030001, Shanxi, People's Republic of China.
Wenhao HuDepartment of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, 030001, Shanxi, People's Republic of China.
Zhifang WuDepartment of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, 030001, Shanxi, People's Republic of China.
Sijin LiDepartment of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, 030001, Shanxi, People's Republic of China.
Hongliang WangDepartment of Nuclear Medicine, First Hospital of Shanxi Medical University, Taiyuan, 030001, Shanxi, People's Republic of China. hongliang0812@163.com.

Funding

Central leading local science and Technology Development Fund Project YDZJSX2022A058Four "Batches" Innovation Project of invigorating Medical through Science and Technology of Shanxi Province 2022XM38Fundamental Research Program of Shanxi Province 202303021221226National Natural Science Foundation 81471695National Natural Science Foundation 81971655National Natural Science Foundation 82001873National Natural Science Foundation 82027804The research was also supported by the Shanxi Province Higher Education "Billion Project" Science and Technology Guidance Project IDD/SXMU-2024-02
6 · The paper itself

Abstract

purposeTo investigate the value of MATERIALS AND

methodsData of 86 patients with pathologically confirmed DLBCL who underwent

resultsAmong 86 patients [(45 men, 41 women, age: 57.8 ± 12.2 years)], the median PFS was 22.5 (14.5, 46) months. Until the last follow-up date, progression or recurrence occurred in 14 patients, while 9 patients died. The ROC curves indicated that the optimal cutoff values for predicting PFS were 99.10%, 99.72%, and 96.47% for ΔMTV%, ΔTLG%, and ΔD

conclusionThe rate of change in metabolic and diffusion parameters on interim PET/CT can predict the prognosis of patients with DLBCL.

Indexed as

Diffuse large B-cell lymphomaMaximum tumor disseminationMetabolic tumor volumePositron emission computed tomographyPrognosis

Identifiers

PMID40146454
PMCPMC11950622

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.