Evidence map›Paper›PMID 36536860›Full record

ArticleInfection and drug resistance2022

Metabonomic Analysis of Metabolites Produced by

Yangyanqiu Wang, Yin Jin, Xiaowei Ji, Man Huang, Bo Xie

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Infection and drug resistance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Yangyanqiu WangDepartment of General Intensive Care Unit, Huzhou Central Hospital, Huzhou Hospital Affiliated to Zhejiang University School of Medicine, Huzhou, People's Republic of China.
Yin JinDepartment of Clinical Laboratory, Huzhou Central Hospital, Huzhou Hospital Affiliated to Zhejiang University School of Medicine, Huzhou, People's Republic of China.
Xiaowei JiDepartment of General Intensive Care Unit, Huzhou Central Hospital, Huzhou Hospital Affiliated to Zhejiang University School of Medicine, Huzhou, People's Republic of China.
Man HuangDepartment of General Intensive Care Unit, The Second Affiliated Hospital of Zhejiang University, Hangzhou, People's Republic of China.
Bo XieDepartment of General Intensive Care Unit, Huzhou Central Hospital, Huzhou Hospital Affiliated to Zhejiang University School of Medicine, Huzhou, People's Republic of China.
Huzhou Central Hospital · CNZhejiang University · CNSecond Affiliated Hospital of Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: To analyze the metabolites of the most common sepsis-related pathogen and their correlation with clinical indicators. Methods: Information of bacterial-infection patients in Huzhou Central hospital was retrospectively investigated and analyzed. The most common pathogen inducing sepsis was selected. Then, the metabolic profiles of pathogens from blood were detected by liquid chromatography/mass spectrometry. Cluster and classification analysis, KEGG pathway enrichment analysis, multidimensional OPLS-DA, Results: Conclusion: The different metabolic profile of

Indexed as

bacteriaEscherichia coliLC/MS analysismetabolomicssepsis

Identifiers

PMID36536860
PMCPMC9759013
OpenAlexW4311208984

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.