Evidence map›Paper›PMID 29513648›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2018

Metabolic Profiling of Amino Acids Associated with Mortality in Patients with Acute Paraquat Poisoning.

Xiuxian Wan, Chunyu Zhou, Xin Kang, Dayong Hu, Wen Xue, Xinhua Li, Hui Bao, Ai Peng

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Xiuxian WanDepartment of Nephrology and Rheumatology, Affiliated Shanghai Tenth Clinical Medical College of Nanjing Medical University, Nanjing, Jiangsu, China (mainland).
Chunyu ZhouCenter for Nephrology and Clinical Metabolomics, Tongji University School of Medicine, Shanghai, China (mainland).
Xin KangCenter for Nephrology and Clinical Metabolomics, Tongji University School of Medicine, Shanghai, China (mainland).
Dayong HuCenter for Nephrology and Clinical Metabolomics, Tongji University School of Medicine, Shanghai, China (mainland).
Wen XueCenter for Nephrology and Clinical Metabolomics, Tongji University School of Medicine, Shanghai, China (mainland).
Xinhua LiCenter for Nephrology and Clinical Metabolomics, Tongji University School of Medicine, Shanghai, China (mainland).
Hui BaoDepartment of Nephrology and Rheumatology, Affiliated Shanghai Tenth Clinical Medical College of Nanjing Medical University, Nanjing, Jiangsu, China (mainland).
Ai PengDepartment of Nephrology and Rheumatology, Affiliated Shanghai Tenth Clinical Medical College of Nanjing Medical University, Nanjing, Jiangsu, China (mainland).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Paraquat is a major cause of fatal poisoning after ingestion in many parts of Asia and the Pacific nations. However, optimal prognostic indicators to evaluate patient mortality have not been unequivocally established. Following acute paraquat poisoning, a number of amino acids (AA), are abnormally expressed in metabolic pathways. However, the alterations in AA metabolite levels after paraquat poisoning remain unknown in humans. MATERIAL AND METHODS In the present study, 40 patients were enrolled, of whom 16 survived and 24 died. A metabolomics approach was used to assess changes in AA metabolites in plasma and its potential prognostic value following paraquat poisoning. Mass spectrometry (MS) based on metabolite identification was conducted. RESULTS Twenty-five AA levels in plasma were abnormally expressed in non-survivor patients. Among them, creatinine, indolelactate, and 3-(4-hydroxyphenyl)lactate were found to be highly correlated with paraquat death prediction. It was noted that the intensity levels of these 3 AA metabolites in the non-survivor group were substantially higher than in the survivor group. Furthermore, we examined receiver operating characteristic (ROC) curves for clinical validation. ROC results showed that 3-(4-hydroxyphenyl)lactate had the highest AUC of 0.84, while indolelactate and creatinine had AUCs of 0.75 and 0.83, respectively, suggesting that they can be used to predict the clinical outcome (although this methodology is expensive to implement). CONCLUSIONS Metabolic profiling of AA levels could be a reliable tool to identify effective indicators for the early high precision prognosis of paraquat poisoning.

Indexed as

Acute DiseaseAdultAmino AcidsCreatinineDemographyFemaleHumansIndoleacetic AcidsLactic AcidMaleMetabolomeMetabolomicsParaquatPoisoningPrincipal Component AnalysisSurvivorsAmino AcidsCreatinineindoleacetic acidIndoleacetic AcidsLactic AcidParaquat

Identifiers

PMID29513648
PMCPMC5854108

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.