Evidence map›Paper›PMID 25411961›Full record

Trial reportPloS one2014

Metabolomics evaluation of serum markers for cachexia and their intra-day variation in patients with advanced pancreatic cancer.

Yutaka Fujiwara, Takashi Kobayashi, Naoko Chayahara, Yoshinori Imamura, Masanori Toyoda, Naomi Kiyota, Toru Mukohara, Shin Nishiumi, Takeshi Azuma, Masaru Yoshida and 1 more

Open access · goldAbstract readClinical TrialComparative Study
In one paragraph

Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 pooled it
1.9field-weighted citation impact, top 15% 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

35 citing papers in PubMed, 3 syntheses or guidelines pooled it, 58 citations in OpenAlex.

  1. Cancer- and cardiac-induced cachexia: same fate through different inflammatory mediators?Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2022
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  10. Prognostic Implication of Plasma Metabolites in Gastric Cancer.International journal of molecular sciences · 2023
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  12. Article
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  15. Metabolomics and its Applications in Cancer Cachexia.Frontiers in molecular biosciences · 2022
    Review
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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

11 authors at 2 institutions in 1 country.

Yutaka FujiwaraDivision of Medical Oncology/Hematology, Kobe University Graduate School of Medicine, Kobe, Japan.
Takashi KobayashiDivision of Gastroenterology, Kobe University Graduate School of Medicine, Kobe, Japan.
Naoko ChayaharaDivision of Medical Oncology/Hematology, Kobe University Graduate School of Medicine, Kobe, Japan.
Yoshinori ImamuraDivision of Medical Oncology/Hematology, Kobe University Graduate School of Medicine, Kobe, Japan.
Masanori ToyodaDivision of Medical Oncology/Hematology, Kobe University Graduate School of Medicine, Kobe, Japan.
Naomi KiyotaDivision of Medical Oncology/Hematology, Kobe University Graduate School of Medicine, Kobe, Japan.
Toru MukoharaDivision of Medical Oncology/Hematology, Kobe University Graduate School of Medicine, Kobe, Japan; Cancer Center, Kobe University Hospital, Kobe, Japan.
Shin NishiumiDivision of Gastroenterology, Kobe University Graduate School of Medicine, Kobe, Japan.
Takeshi AzumaDivision of Gastroenterology, Kobe University Graduate School of Medicine, Kobe, Japan.
Masaru YoshidaDivision of Gastroenterology, Kobe University Graduate School of Medicine, Kobe, Japan; Division of Metabolomics Research, Kobe University Graduate School of Medicine, Kobe, Japan.
Hironobu MinamiDivision of Medical Oncology/Hematology, Kobe University Graduate School of Medicine, Kobe, Japan; Cancer Center, Kobe University Hospital, Kobe, Japan.
Kobe University · JPKobe University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCancer cachexia is a multifactorial syndrome characterized by progressive loss of weight and muscle atrophy. Using metabolomics, we investigated serum markers and their intra-day variation in advanced pancreatic cancer patients with cachexia.

methodsPatients were enrolled in two groups: those with or without cachexia. Blood samples collected at 6:30 AM, 11:30 AM, 4:30 PM, and 9:30 PM were analyzed using metabolomics, and serum levels of IL-6, TNF-α, and leptin were measured and compared between the two groups. Intra-day variation was then evaluated.

resultsTwenty-one patients were enrolled in total. In the cachexia group (n = 9), median body weight loss rate over 6 months was greater, performance status was poorer, and anorexia was more severe than in the non-cachexia group (n = 12). Each metabolites level showed substantial intra-day variation, and some of them displayed significant differences between the two groups. Levels of paraxanthine remained markedly lower in the cohort with cachexia at all measurement points. Besides, median IL-6 and TNF-α levels appeared higher and leptin concentration appeared lower in the cachexia group, albeit without statistical significance.

conclusionSome metabolites and some serological marker levels were affected by cancer cachexia. Although paraxanthine levels were consistently lower in patients with cachexia, we identified that many metabolites indicated large intra- and inter-day variation and that it might be necessary to pay attention to intra-day variation in metabolomics research.

Indexed as

AdultAgedBiomarkersCachexiaFemaleHumansInterleukin-6LeptinMaleMetabolomicsMiddle AgedPancreatic NeoplasmsSurvival AnalysisTheophyllineTumor Necrosis Factor-alpha1,7-dimethylxanthineBiomarkersIL6 protein, humanInterleukin-6LeptinTheophyllineTNF protein, humanTumor Necrosis Factor-alpha

Identifiers

PMID25411961
PMCPMC4239056
OpenAlexW2007617653

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.