Evidence map›Paper›PMID 40028531›Full record

ArticleHeliyon2025

Multiple metabolic analysis of [

Hao Jiao, Yongkang Qiu, Zhao Chen, Yongbai Zhang, Wenpeng Huang, Qi Yang, Lei Kang

Abstract read
In one paragraph

Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Hao JiaoDepartment of Nuclear Medicine, Peking University First Hospital, Beijing, 100034, China.
Yongkang QiuDepartment of Nuclear Medicine, Peking University First Hospital, Beijing, 100034, China.
Zhao ChenDepartment of Nuclear Medicine, Peking University First Hospital, Beijing, 100034, China.
Yongbai ZhangDepartment of Nuclear Medicine, Peking University First Hospital, Beijing, 100034, China.
Wenpeng HuangDepartment of Nuclear Medicine, Peking University First Hospital, Beijing, 100034, China.
Qi YangDepartment of Nuclear Medicine, Peking University First Hospital, Beijing, 100034, China.
Lei KangDepartment of Nuclear Medicine, Peking University First Hospital, Beijing, 100034, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to evaluate the value of [ Materials and methods: A retrospective review of 182 kidney disease patients and 32 controls was conducted. Patients were categorized into acute kidney disease (AKD), AKI on CKD (A/C), and chronic kidney disease (CKD) groups, further divided by CKD stage and disease etiology. Regions of interest (ROIs) were drawn in renal cortex, liver, aorta, and lesions. SUVmax and SUVmean were measured, and ratios of renal cortex SUVmax to liver and blood pool SUVmean were calculated. Results: Abnormal FDG uptake was observed in 84.6 % of patients, with significantly higher SUVmax in malignant versus benign lesions. Common malignancies included multiple myeloma, lymphoma, and lung cancer. PET/CT had 89.5 % sensitivity and 100 % specificity for tumor detection. SUVs differed significantly among AKD, A/C, CKD, and normal groups. Significant differences in SUVmax and SUVmean were also found between CKD stages and primary versus secondary kidney diseases. In CKD, increased SUVmax and SUVmean correlated with lower serum creatinine and blood urea nitrogen, and increased eGFR. Conclusion: For patients with kidney disease, [

Indexed as

[18F]FDGKidney diseaseMetabolic parameterPET/CTRenal function

Identifiers

PMID40028531
PMCPMC11870161

What OpenQuestion holds

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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.