Evidence map›Paper›PMID 35261628›Full record

ArticleExperimental and therapeutic medicine2022

Serum metabonomics as a diagnostic approach for cancer-related fatigue.

Haiming Wang, Tong Zhao, Can Lv, Zhan Zhang, Fanfu Fang, Bai Li

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2022. 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
0.7field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Review
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 at 3 institutions in 1 country.

Haiming WangDepartment of Integrated Chinese and Western Medicine, School of Chinese Medicine & School of Integrated Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210023, P.R. China.
Tong ZhaoDepartment of Integrated Chinese and Western Medicine, School of Chinese Medicine & School of Integrated Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu 210023, P.R. China.
Can LvDepartment of Rehabilitation Medicine, Changhai Hospital of Shanghai, The Second Military Medical University, Shanghai 200433, P.R. China.
Zhan ZhangDepartment of Rehabilitation Medicine, Changhai Hospital of Shanghai, The Second Military Medical University, Shanghai 200433, P.R. China.
Fanfu FangDepartment of Rehabilitation Medicine, Changhai Hospital of Shanghai, The Second Military Medical University, Shanghai 200433, P.R. China.
Bai LiDepartment of Rehabilitation Medicine, Changhai Hospital of Shanghai, The Second Military Medical University, Shanghai 200433, P.R. China.
Second Military Medical University · CNNanjing University of Chinese Medicine · CNChanghai Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present study, differences in metabolic pathways between patients with and without cancer-related fatigue (CRF) were examined to identify metabolic serum biomarkers of CRF. In this preliminary study, metabolic profiling was applied to analyze the serum samples from 14 patients with CRF and 11 non-CRF individuals (non-fatigue cancer survivors) by ultra-performance liquid chromatography coupled with mass spectrometry. Orthogonal partial least-squares discriminant analysis was adopted to evaluate the differences between the CRF and non-CRF groups. The CRF group was characterized by increases in phosphatidylethanolamine (PE; 18:0/0:0), LysoPE (0:0/20:4 and 0:0/16:0), lysophosphatidylcholine (LysoPC; 20:4, 22:4 and 16:0) and LysoPC/PC, phosphatidylserine (21:0/0:0), glycerophosphocholine and N-docosahexaenoyl γ-aminobutyric acid. Furthermore, decreases in anandamide, uric acid, dihydrouracil, LysoPE (0:0/22:5), 2,5,7,8-tetramethyl-2(2'-carboxyethyl)-6-hydroxychroman, 19(R)-hydroxy-prostaglandin F1α, N-(3α,12α-dihydroxy-5β-cholan-24-oyl)-glycine, ketoleucine, indoxyl sulfate, α-N-phenylacetyl-L-glutamine and 1-linoleoyl-glycerophosphocholine were detected. These data indicate a possible disturbance in the metabolism of phospholipids and adjustments in the endocannabinoid system. The metabonomic approach may be helpful to determine the pathophysiological mechanisms of CRF and the identification of potential biomarkers for the accurate diagnosis of CRF. All clinical data were obtained from the 'Research on the efficacy of traditional Chinese medicine comprehensive intervention in cancer-related fatigue' (TCM-CRF) project. Medical Ethical Approval for TCM-CRF was approved by the Chinese Ethics Committee of Registering Clinical Trials. The approval number for the TCM-CRF study was ChiECRCT-2013038, and the TCM-CRF study was completed.

Indexed as

cancer-related fatiguediagnostic approachmetabolic profilingserumUPLC/MS

Identifiers

PMID35261628
PMCPMC8855500
OpenAlexW4210861409

What OpenQuestion holds

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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.