Evidence map›Paper›PMID 39872250›Full record

ArticleIndian journal of nephrology

Detections of Chemicals and Migratory Plastics in Peritoneal Dialysis Fluids.

Sanjay Kumar Panda, Rama Krishna Maloth, Vijayasarthi Upadyayalu, Ankita Mishra, Santosh Noronha

Abstract read
In one paragraph

Article in Indian journal of nephrology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sanjay Kumar PandaDepartment of Nephrology, Base Hospital Delhi Cantt, New Delhi, India.
Rama Krishna MalothDepartment of Analytical and Structural Chemistry, CSIR-Indian Institute of Chemical Technology, Hyderabad, Tarnaka, India.
Vijayasarthi UpadyayaluDepartment of Analytical and Structural Chemistry, CSIR-Indian Institute of Chemical Technology, Hyderabad, Tarnaka, India.
Ankita MishraDepartment of Chemical Engineering, Indian Institute of Technology, Hyderabad, Tarnaka, India.
Santosh NoronhaDepartment of Chemical Engineering, Indian Institute of Technology, Hyderabad, Tarnaka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Peritoneal dialysis (PD) is an important modality of renal replacement therapy (RRT). Peritonitis and ultrafiltration failure are complications that have a long-term impact on PD patients. Besides touch contamination, procedural errors and clinical reasons of peritonitis, contaminants, and constituents of peritoneal dialysis fluids (PDFs) have been implicated in causing peritonitis and ultrafiltration failure. This study was aimed to test the PDFs in India for the presence of migratory plastics. Materials and Methods: PDFs from the two manufacturers in India were tested using liquid chromatography mass spectrometry (LCMS) and gas chromatography mass spectrometry (GCMS) with headspace analysis (volatile compounds) and pyrolysis of plastics (polymer compounds). The storage conditions and handling were uniform. Results: The results revealed impurities of acetate compounds and aldehyde derivatives of glucose degradation products (GDPs) with contaminants and leachable plastics. There were high levels of GDP derivative in the form of 5-hydroxymethylfurfural compounds (5-HMF). The analysis revealed the presence of plastic softeners in very high concentrations. Conclusion: The study unmasks the presence of chemicals and GDPs that can be implicated in pathogenesis of sterile peritonitis and ultrafiltration failure. The study demonstrated the presence of leachable plastics. In conclusion, LCMS and GCMS studies can be used to test PDFs for unwanted chemicals prior to human use.

Indexed as

Chemical peritonitisGlucose degradation productsPeritoneal dialysis fluidsRenal replacement therapiesUltrafiltration failure

Identifiers

PMID39872250
PMCPMC11763172

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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.