Evidence map›Paper›PMID 38474739›Full record

ArticleNutrients2024

Combined Plasma DHA-Containing Phosphatidylcholine PCaa C38:6 and Tetradecanoyl-Carnitine as an Early Biomarker for Assessing the Mortality Risk among Sarcopenic Patients.

Hung-Yao Ho, Yuan-Ho Chen, Chi-Jen Lo, Hsiang-Yu Tang, Su-Wei Chang, Chun-Ming Fan, Yu-Hsuan Ho, Gigin Lin, Chih-Yung Chiu, Chih-Ming Lin and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  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

11 authors.

Hung-Yao HoMetabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan 333, Taiwan.ORCID 0000-0001-5990-6622
Yuan-Ho ChenGraduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan 333, Taiwan.ORCID 0009-0001-9629-4642
Chi-Jen LoMetabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan 333, Taiwan.ORCID 0000-0003-4439-8033
Hsiang-Yu TangMetabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan 333, Taiwan.ORCID 0000-0002-2536-6370
Su-Wei ChangDepartment of Artificial Intelligence, College of Intelligent Computing, Chang Gung University, Taoyuan 333, Taiwan.ORCID 0000-0002-7309-9932
Chun-Ming FanMetabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan 333, Taiwan.ORCID 0009-0007-9628-8182
Yu-Hsuan HoDepartment of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan 333, Taiwan.
Gigin LinClinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital at Linkou, Taoyuan 333, Taiwan.ORCID 0000-0001-7246-1058
Chih-Yung ChiuClinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital at Linkou, Taoyuan 333, Taiwan.ORCID 0000-0002-6454-968X
Chih-Ming LinDivision of Internal Medicine, Chang Gung Memorial Hospital at Taipei, Taipei 105, Taiwan.
Mei-Ling ChengMetabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan 333, Taiwan.ORCID 0000-0003-2006-133X

Funding

Chang Gung Memorial Hospital BMRP819, BMRP564, CMRPD1L0161, CMRPD1L0162, CMRPD1M0351, CMRPD1J0263, CMRPD1M0341 and CLRPG3K0023Chang Gung Memorial Hospital CMRPD1M0352, CMRPD1N0151, CMRPD1M0342, CMRPD1N0071,112-2320-B-182-020-MY3Ministry of Education (Taiwan region) EMRPD1K0441, EMRPD1K0481, and EMRPD1L0421National Science and Technology Council (Taiwan region) 110-2320-B-182-017-MY3 and 111-2320-B-182-011The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE)(Taiwan region) and the National Science and Technology Council (NSTC)(Taiwan region) MOST 111-2634-F-182-001
6 · The paper itself

Abstract

The coming of the hyper-aged society in Taiwan prompts us to investigate the relationship between the metabolic status of sarcopenic patients and their most adverse outcome-death. We studied the association between any plasma metabolites and the risk for mortality among older Taiwanese sarcopenic patients. We applied a targeted metabolomic approach to study the plasma metabolites of adults aged ≥65 years, and identified the metabolic signature predictive of the mortality of sarcopenic patients who died within a 5.5-year follow-up period. Thirty-five sarcopenic patients who died within the follow-up period (

Indexed as

HypertensionSarcopeniaAdultBiomarkersCarnitineDocosahexaenoic AcidsHumansPhosphatidylcholinesBiomarkersCarnitineDocosahexaenoic AcidsPhosphatidylcholinesDHAhypertensionmetabolomicsmortalityphosphatidylcholinesarcopenia

Identifiers

PMID38474739
PMCPMC10933763

What Socratic holds

Textmetadata
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 Socratic graph.