Evidence map›Paper›PMID 38481507›Full record

ArticleKidney international reports2024

Novel Colorimetric and Light Scatter Methods to Identify and Manage Peritoneal Dialysis-Associated Peritonitis at the Point-of-Care.

Nishal Govindji-Bhatt, Stephnie M Kennedy, Michael G Barker, Darren Kell, Duncan Henderson, Nicholas Goddard, Ana Yepes Garcia, Adam S Milner, Tom Willett, Ryan Griffiths and 16 more

Open access · goldAbstract read
In one paragraph

Article in Kidney international reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. The future of peritoneal dialysis.Clinical kidney journal · 2024
    Article
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

26 authors at 10 institutions in 1 country.

Nishal Govindji-BhattMicrobiosensor Ltd., The Incubator Building, Manchester, UK.
Stephnie M KennedyMicrobiosensor Ltd., The Incubator Building, Manchester, UK.
Michael G BarkerMicrobiosensor Ltd., The Incubator Building, Manchester, UK.
Darren KellMicrobiosensor Ltd., The Incubator Building, Manchester, UK.
Duncan HendersonMicrobiosensor Ltd., The Incubator Building, Manchester, UK.
Nicholas GoddardMicrobiosensor Ltd., The Incubator Building, Manchester, UK.
Ana Yepes GarciaMicrobiosensor Ltd., The Incubator Building, Manchester, UK.
Adam S MilnerMicrobiosensor Ltd., The Incubator Building, Manchester, UK.
Tom WillettMicrobiosensor Ltd., The Incubator Building, Manchester, UK.
Ryan GriffithsMicrobiosensor Ltd., The Incubator Building, Manchester, UK.
Peter FosterMicrobiosensor Ltd., The Incubator Building, Manchester, UK.
William KilgallonMicrobiosensor Ltd., The Incubator Building, Manchester, UK.
Rachel CantDivision of Pharmacy and Optometry, School of Health Sciences, The University of Manchester, Manchester, UK.
Christopher G KnightMicrobiosensor Ltd., The Incubator Building, Manchester, UK.
David LewisSalford Royal NHS Foundation Trust, Salford, UK.
Richard CorbettImperial College Healthcare NHS Trust, Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK.
Habib AkbaniBradford Teaching Hospitals NHS Foundation Trust, St Luke's Hospital, Bradford, UK.
Graham WoodrowLeeds Teaching Hospitals NHS Trust, St James's University Hospital, Leeds, UK.
Bhrigu SoodEpsom and St Helier Hospitals NHS Trust, Surrey, UK.
Osasuyi IyasereJohn Walls Renal Unit, University Hospitals of Leicester NHS Trust, Leicester, UK.
Simon DaviesUniversity Hospital of North Midlands NHS Trust, Stoke-on-Trent, UK.
Junaid QaziManchester University NHS Foundation Trust, Manchester UK.
Anand VardhanManchester University NHS Foundation Trust, Manchester UK.
Laura GillisSheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
Martin WilkieSheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
Curtis B DobsonMicrobiosensor Ltd., The Incubator Building, Manchester, UK.
University of Manchester · GBManchester University NHS Foundation Trust · GBSheffield Teaching Hospitals NHS Foundation Trust · GBImperial College Healthcare NHS Trust · GBLeeds Teaching Hospitals NHS Trust · GBSalford Royal NHS Foundation Trust · GBSt Helier Hospital · GBSt. Luke's Hospital · GBUniversity Hospitals of Leicester NHS Trust · GBUniversity Hospitals of North Midlands NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Peritoneal dialysis (PD)-related peritonitis (PDRP) is a common cause of transfer to hemodialysis, patient morbidity, and is a risk factor for mortality. Associated patient anxiety can deter selection of PD for renal replacement therapy. Diagnosis relies on hospital laboratory tests; however, this might be achieved earlier if such information was available at the point-of-care (POC), thereby significantly improving outcomes. The presence of culturable microbes and the concentration of leukocytes in effluent both aid peritonitis diagnosis, as specified in the International Society for Peritoneal Dialysis (ISPD) diagnostic guidelines. Here, we report the development of 2 new methods providing such information in simple POC tests. Methods: One approach uses a tetrazolium-based chemical reporting system, primarily focused on detecting bacterial contamination and associated vancomycin-sensitivity. The second approach uses a novel forward light-scatter device (QuickCheck) to provide an instant quantitative cell count directly from PD patient effluent. Results: The tetrazolium approach detected and correctly distinguished laboratory isolates, taking 10 hours to provide non-quantitative results. We compared the technical performance of the light scatter leukocyte counting approach with spectrophotometry, hemocytometer counting and flow cytometry (Sysmex) using patient effluent samples. QuickCheck had high accuracy (94%) and was the most precise (coefficient of variation <4%), showing minimal bias, overall performing similarly to flow cytometry. Conclusion: These complementary new approaches provide a simple means to obtain information to assist diagnosis at the POC. The first provides antibiotic sensitivity following 10 hours incubation, whereas the second optical approach (QuickCheck), provides instant accurate total leukocyte count.

Indexed as

diagnosisleukocyteperitoneal dialysisperitonitis

Identifiers

PMID38481507
PMCPMC10927466
OpenAlexW4390431397

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.