Evidence map›Paper›PMID 36882429›Full record

ArticleScientific reports2023

Metabolomic profiling of overnight peritoneal dialysis effluents predicts the peritoneal equilibration test type.

Hyo Jin Kim, Munki Choo, Hyuk Nam Kwon, Kyung Don Yoo, Yunmi Kim, Bodokhsuren Tsogbadrakh, Eunjeong Kang, Sunghyouk Park, Kook-Hwan Oh

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
0.5field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Live Metabolomics with NMR.Analytical chemistry · 2026
    Review
  2. Review
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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

9 authors at 6 institutions in 2 countries.

Hyo Jin Kim *Department of Internal Medicine, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Korea.
Munki Choo *Natural Product Research Institute, College of Pharmacy, Seoul National University, Seoul, Korea.
Hyuk Nam KwonNatural Product Research Institute, College of Pharmacy, Seoul National University, Seoul, Korea.
Kyung Don YooDepartment of Internal Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea.
Yunmi KimDepartment of Internal Medicine, Inje University Busan Paik Hospital, Busan, Korea.
Bodokhsuren TsogbadrakhLaboratory Animal Team, Korea Institute of Radiological and Medical Sciences, Seoul, Korea.
Eunjeong KangTransplantation Center, Seoul National University Hospital, Seoul, Korea.
Sunghyouk ParkNatural Product Research Institute, College of Pharmacy, Seoul National University, Seoul, Korea. psh@snu.ac.kr.
Kook-Hwan OhDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea. khoh@snu.ac.kr.
Seoul National University · KRSeoul National University Hospital · KRInje University Busan Paik Hospital · KRKorea Institute of Radiological and Medical Sciences · KRPusan National University Hospital · KRUlsan College · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study primarily aimed to evaluate whether peritoneal equilibration test (PET) results can be predicted through the metabolomic analysis of overnight peritoneal dialysis (PD) effluents. From a total of 125 patients, overnight PD effluents on the day of the first PET after PD initiation were analyzed. A modified 4.25% dextrose PET was performed, and the PET type was categorized according to the dialysate-to-plasma creatinine ratio at the 4-h dwell time during the PET as follows: high, high average, low average, or low transporter. Nuclear magnetic resonance (NMR)-based metabolomics was used to analyze the effluents and identify the metabolites. The predictive performances derived from the orthogonal projection to latent structure discriminant analysis (OPLS-DA) modeling of the NMR spectrum were estimated by calculating the area under the curve (AUC) using receiver operating characteristic curve analysis. The OPLS-DA score plot indicated significant metabolite differences between high and low PET types. The relative concentrations of alanine and creatinine were greater in the high transporter type than in the low transporter type. The relative concentrations of glucose and lactate were greater in the low transporter type than in the high transporter type. The AUC of a composite of four metabolites was 0.975 in distinguish between high and low PET types. Measured PET results correlated well with the total NMR metabolic profile of overnight PD effluents.

Indexed as

MetabolomicsPeritoneal DialysisCreatinineDialysis SolutionsHumansLactic AcidMembrane Transport ProteinsCreatinineDialysis SolutionsLactic AcidMembrane Transport Proteins

Identifiers

PMID36882429
PMCPMC9992441
OpenAlexW4323360044

What OpenQuestion holds

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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.