Evidence map›Paper›PMID 22702659›Full record

ArticleBMC nephrology2012

The effects of living distantly from peritoneal dialysis units on peritonitis risk, microbiology, treatment and outcomes: a multi-centre registry study.

Yeoungjee Cho, Sunil V Badve, Carmel M Hawley, Stephen P McDonald, Fiona G Brown, Neil Boudville M, Kathryn J Wiggins, Kym M Bannister, Philip Clayton, David W Johnson

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC nephrology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Review
  8. Continuous Quality Improvement Initiatives to Sustainably Reduce Peritoneal Dialysis-Related Infections in Australia and New Zealand.Peritoneal dialysis international : journal of the International Society for Peritoneal Dialysis · 2016
    Review
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Article
  15. Center-Specific Factors Associated with Peritonitis Risk-A Multi-Center Registry Analysis.Peritoneal dialysis international : journal of the International Society for Peritoneal Dialysis
    Article
  16. Outcomes of a peritoneal dialysis program in remote communities within Colombia.Peritoneal dialysis international : journal of the International Society for Peritoneal Dialysis
    Observational
  17. Dialysis modality after renal transplant failure.Peritoneal dialysis international : journal of the International Society for Peritoneal Dialysis
    Article
  18. Is female sex really a risk factor for infectious death in peritoneal dialysis?Peritoneal dialysis international : journal of the International Society for Peritoneal Dialysis
    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

10 authors at 6 institutions in 1 country.

Yeoungjee ChoAustralia and New Zealand Dialysis and Transplant Registry, Adelaide, Australia.
Sunil V Badve
Carmel M Hawley
Stephen P McDonald
Fiona G Brown
Neil Boudville M
Kathryn J Wiggins
Kym M Bannister
Philip Clayton
David W Johnson
Australia and New Zealand Dialysis and Transplant Registry · AUThe University of Queensland · AUQueen Elizabeth Hospital · AURoyal Adelaide Hospital · AURoyal Prince Alfred Hospital · AUThe University of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of the study was to determine whether distance between residence and peritoneal dialysis (PD) unit influenced peritonitis occurrence, microbiology, treatment and outcomes.

methodsThe study included all patients receiving PD between 1/10/2003 and 31/12/2008, using ANZDATA Registry data.

results365 (6%) patients lived ≥100 km from their nearest PD unit (distant group), while 6183 (94%) lived <100 km (local group). Median time to first peritonitis in distant patients (1.34 years, 95% CI 1.07-1.61) was significantly shorter than in local patients (1.68 years, 95% CI 1.59-1.77, p = 0.001), whilst overall peritonitis rates were higher in distant patients (incidence rate ratio 1.32, 95% CI 1.20-1.46). Living ≥100 km away from a PD unit was independently associated with a higher risk of S. aureus peritonitis (adjusted odds ratio [OR] 1.64, 95% CI 1.09-2.47). Distant patients with first peritonitis episodes were less likely to be hospitalised (64% vs 73%, p = 0.008) and receive antifungal prophylaxis (4% vs 10%, p = 0.01), but more likely to receive vancomycin-based antibiotic regimens (52% vs 42%, p < 0.001). Using multivariable logistic regression analysis of peritonitis outcomes, distant patients were more likely to be cured with antibiotics alone (OR 1.55, 95% CI 1.03-2.24). All other outcomes were comparable between the two groups.

conclusionsLiving ≥100 km away from a PD unit was associated with increased risk of S. aureus peritonitis, modified approaches to peritonitis treatment and peritonitis outcomes that were comparable to, or better than patients living closer to a PD unit. Staphylococcal decolonisation should receive particular consideration in remote living patients.

Indexed as

Health Services AccessibilityPeritoneal DialysisAdultAgedAnti-Bacterial AgentsAustraliaDrug Therapy, CombinationFemaleHumansMaleMiddle AgedPeritonitisRegistriesRisk FactorsStaphylococcal InfectionsStaphylococcus aureusAnti-Bacterial Agents

Identifiers

PMID22702659
PMCPMC3444345
OpenAlexW2013522883

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.