Evidence map›Paper›PMID 30310274›Full record

ArticleInternational journal of chronic obstructive pulmonary disease

Li-Chuan Tan, Wen-Jie Yang, Wei-Ping Fu, Ping Su, Jing-Kui Shu, Lu-Ming Dai

Abstract readComparative Study
In one paragraph

Article in International journal of chronic obstructive pulmonary disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Pharmacometabolomics by NMR in Oncology: A Systematic Review.Pharmaceuticals (Basel, Switzerland) · 2021
    Review
  5. Article
  6. 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.

Li-Chuan TanDepartment of Respiratory and Critical Care Medicine, First Affiliated Hospital of Kunming Medical University, Kunming 650032, People's Republic of China, dailuming6622@hotmail.com.
Wen-Jie YangDepartment of Respiratory, Baoshan People's Hospital, Baoshan 678000, People's Republic of China.
Wei-Ping FuDepartment of Respiratory and Critical Care Medicine, First Affiliated Hospital of Kunming Medical University, Kunming 650032, People's Republic of China, dailuming6622@hotmail.com.
Ping SuDepartment of Respiratory, Baoshan People's Hospital, Baoshan 678000, People's Republic of China.
Jing-Kui ShuDepartment of Respiratory and Critical Care Medicine, First Affiliated Hospital of Kunming Medical University, Kunming 650032, People's Republic of China, dailuming6622@hotmail.com.
Lu-Ming DaiDepartment of Respiratory and Critical Care Medicine, First Affiliated Hospital of Kunming Medical University, Kunming 650032, People's Republic of China, dailuming6622@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeterogeneity of COPD results in different therapeutic effects for different patients receiving the same treatment. COPD patients need to be individually treated according to their own characteristics. The purpose of this study was to explore the differences in different CT phenotypic COPD by molecular metabolites through the use of metabolomics.

methodsAccording to the characteristics of CT imaging, 42 COPD patients were grouped into phenotype E (n=20) or phenotype M (n=24). Each COPD patient received tiotropium bromide powder for inhalation for a therapeutic period of 3 months. All subjects were assigned into phenotype E in pre-therapy (EB, n=20), phenotype E in post-therapy (EA, n=20), phenotype M in pre-therapy (MB, n=22), phenotype M in post-therapy (MA, n=22), or normal control (N, n=24). The method of metabolomics based on

resultsPatients with COPD phenotype E responded better to tiotropium bromide than patients with COPD phenotype M in terms of pulmonary function and COPD assessment test scores. There were differences in metabolites in COPD patients vs normal control people. Differences were also observed between different COPD phenotypic patients receiving the treatment in comparison with those who did not receive treatment. The changes of metabolites involved lactate, phenylalanine, fructose, glycine, asparagine, citric acid, pyruvic acid, proline, acetone, ornithine, lipid, pyridoxine, maltose, betaine, lipoprotein, and so on. These identified metabolites covered the metabolic pathways of amino acids, carbohydrates, lipids, genetic materials, and vitamin.

conclusionThe efficacy of tiotropium bromide on COPD phenotype E is better than that of phenotype M. Metabolites detected by

Indexed as

PhenotypeAdministration, InhalationAdultAgedBronchodilator AgentsCase-Control StudiesFemaleHumansMagnetic Resonance SpectroscopyMaleMetabolomicsMiddle AgedPrognosisPulmonary Disease, Chronic ObstructiveReference ValuesRespiratory Function TestsBronchodilator AgentsTiotropium BromideCOPDCT phenotypingindividualized treatmentmetabolomicstiotropium bromide

Identifiers

PMID30310274
PMCPMC6166752

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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.