Evidence map›Paper›PMID 26838992›Full record

ArticlePeritoneal dialysis international : journal of the International Society for Peritoneal Dialysis

First Report of Laribacter hongkongensis Peritonitis in Continuous Ambulatory Peritoneal Dialysis.

Patrick C Y Woo, Rosana W S Poon, Chuen-Hing Foo, Kelvin K W To, Susanna K P Lau

Open access · greenAbstract readCase Reports
In one paragraph

Article in Peritoneal dialysis international : journal of the International Society for Peritoneal Dialysis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

1 citing paper in PubMed, 10 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 2 countries.

Patrick C Y WooDepartment of Microbiology, The University of Hong Kong, Hong Kong Research Centre of Infection and Immunology, The University of Hong Kong, Hong Kong State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong skplau@hku.hk pcywoo@hku.hk.
Rosana W S PoonDepartment of Microbiology, The University of Hong Kong, Hong Kong.
Chuen-Hing FooDepartment of Microbiology, The University of Hong Kong, Hong Kong.
Kelvin K W ToDepartment of Microbiology, The University of Hong Kong, Hong Kong Research Centre of Infection and Immunology, The University of Hong Kong, Hong Kong State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong.
Susanna K P LauDepartment of Microbiology, The University of Hong Kong, Hong Kong Research Centre of Infection and Immunology, The University of Hong Kong, Hong Kong State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong skplau@hku.hk pcywoo@hku.hk.
Chinese University of Hong Kong · CNUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The most common pathogens associated with peritonitis in patients on continuous ambulatory peritoneal dialysis (CAPD) are gram-positive bacteria, which constitute 60 - 80% of all isolates. With the advancement of molecular technologies for bacterial identification, cases of CAPD-related peritonitis caused by bacteria previously not known to be associated with this clinical condition have been reported. Here we report the first case of CAPD-related peritonitis due to Laribacter hongkongensis.

Indexed as

AgedHumansMaleNeisseriaceae InfectionsPeritoneal Dialysis, Continuous AmbulatoryPeritonitisCAPDLaribacter hongkongensisperitonitis

Identifiers

PMID26838992
PMCPMC4737574
OpenAlexW2336865480

What OpenQuestion holds

Textmetadata
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.