Evidence map›Paper›PMID 35982214›Full record

ArticleScientific reports2022

Utilising low-cost, easy-to-use microscopy techniques for early peritonitis infection screening in peritoneal dialysis patients.

Mark Buckup, Janelle M Kaneda, Alisha M Birk, Eleanor Glockner, Ross Venook, Aditya Jain, Shuchita Sharma, Cynthia Wong, Ken Sutha

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. 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
0.6field-weighted citation impact, top 35% 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, 4 citations in OpenAlex.

  1. Effect of Remote and Virtual Technology on Home Dialysis.Clinical journal of the American Society of Nephrology : CJASN · 2024
    Review
  2. 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

9 authors at 4 institutions in 1 country.

Mark Buckup *Department of Bioengineering, Stanford University, Palo Alto, CA, USA. mbuckup@alumni.stanford.edu.
Janelle M Kaneda *Department of Bioengineering, Stanford University, Palo Alto, CA, USA.
Alisha M BirkDepartment of Bioengineering, Stanford University, Palo Alto, CA, USA.
Eleanor GlocknerDepartment of Bioengineering, Stanford University, Palo Alto, CA, USA.
Ross VenookDepartment of Bioengineering, Stanford University, Palo Alto, CA, USA.
Aditya JainDepartment of Nephrology, The Mount Sinai Hospital, New York City, NY, USA.
Shuchita SharmaDepartment of Nephrology, The Mount Sinai Hospital, New York City, NY, USA.
Cynthia WongDepartment of Pediatrics, Division of Nephrology, Lucile Packard Children's Hospital, Stanford University, Palo Alto, CA, USA.
Ken SuthaDepartment of Pediatrics, Division of Nephrology, Lucile Packard Children's Hospital, Stanford University, Palo Alto, CA, USA.
Stanford University · USMount Sinai Hospital · USPalo Alto University · USLucile Packard Children's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peritoneal dialysis (PD) patients are at high risk for peritonitis, an infection of the peritoneum that affects 13% of PD users annually. Relying on subjective peritonitis symptoms results in delayed treatment, leading to high hospitalisation costs, peritoneal scarring, and premature transition to haemodialysis. We have developed and tested a low-cost, easy-to-use technology that uses microscopy and image analysis to screen for peritonitis across the effluent drain tube. Compared to other technologies, our prototype is made from off-the-shelf, low-cost materials. It can be set up quickly and key stakeholders believe it can improve the overall PD experience. We demonstrate that our prototype classifies infection-indicating and healthy white blood cell levels in clinically collected patient effluent with 94% accuracy. Integration of our technology into PD setups as a screening tool for peritonitis would enable earlier physician notification, allowing for prompt diagnosis and treatment to prevent hospitalisations, reduce scarring, and increase PD longevity. Our findings demonstrate the versatility of microscopy and image analysis for infection screening and are a proof of principle for their future applications in health care.

Indexed as

Peritoneal DialysisPeritonitisCicatrixHumansMicroscopyPeritoneum

Identifiers

PMID35982214
PMCPMC9388639
OpenAlexW4292491168

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.