Evidence map›Paper›PMID 32708829›Full record

ArticleMetabolites2020

Exploring Metabolic Signature of Protein Energy Wasting in Hemodialysis Patients.

Fatin Athirah Pauzi, Sharmela Sahathevan, Ban-Hock Khor, Sreelakshmi Sankara Narayanan, Nor Fadhlina Zakaria, Faridah Abas, Tilakavati Karupaiah, Zulfitri Azuan Mat Daud

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 13 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

8 authors at 3 institutions in 1 country.

Fatin Athirah PauziDepartment of Dietetics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang 43400, Malaysia.
Sharmela SahathevanDietetics Program, School of Healthcare Sciences, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur 50300, Malaysia.
Ban-Hock KhorDepartment of Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras 56000, Wilayah Persekutuan Kuala Lumpur, Malaysia.ORCID 0000-0003-1359-9342
Sreelakshmi Sankara NarayananSchool of BioScience, Taylor's University, Subang Jaya 47500, Malaysia.
Nor Fadhlina ZakariaDepartment of Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang 43400, Malaysia.ORCID 0000-0002-2126-7391
Faridah AbasDepartment of Food Science, Faculty of Food Science and Technology, Universiti Putra Malaysia, Serdang 43400, Malaysia.ORCID 0000-0002-8110-9424
Tilakavati KarupaiahSchool of BioScience, Taylor's University, Subang Jaya 47500, Malaysia.ORCID 0000-0001-5808-8074
Zulfitri Azuan Mat DaudDepartment of Dietetics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang 43400, Malaysia.ORCID 0000-0002-4017-107X
Universiti Putra Malaysia · MYNational University of Malaysia · MYTaylor's University · MY

Funding

Ministry of Higher Education, Malaysia FRGS/1/2016/SKK06/UPM/02/4, Vote:5524914
6 · The paper itself

Abstract

End-stage renal disease patients undergoing maintenance hemodialysis (HD) are vulnerable to the protein energy wasting (PEW) syndrome. Identification and diagnosis of PEW relies on clinical processes of judgment dependent on fulfilling multiple criteria drawn from serum biochemistry, weight status, predictive muscle mass, dietary energy and protein intakes. Therefore, we sought to explore the biomarkers' signature with plasma metabolites of PEW by using

Indexed as

1H-NMRhemodialysismetabolic pathwaysmetabolomicsplasma metabolitesprotein energy wasting

Identifiers

PMID32708829
PMCPMC7408592
OpenAlexW3042687162

What OpenQuestion 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 OpenQuestion graph.