Evidence map›Paper›PMID 34157941›Full record

ArticleRenal failure2021

Peritoneal dialysis-related peritonitis caused by gram-negative organisms: ten-years experience in a single center.

Ying Zeng, Linsen Jiang, Ying Lu, Zhi Wang, Kai Song, Huaying Shen, Sheng Feng

Open access · goldAbstract read
In one paragraph

Article in Renal failure, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

23 citing papers in PubMed, 30 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Ying ZengDepartment of Nephrology, The Second Affiliated Hospital of Soochow University, Suzhou, P.R. China.ORCID https://orcid.org/0000-0001-7887-6828
Linsen JiangDepartment of Nephrology, The Second Affiliated Hospital of Soochow University, Suzhou, P.R. China.
Ying LuDepartment of Nephrology, The Second Affiliated Hospital of Soochow University, Suzhou, P.R. China.
Zhi WangDepartment of Nephrology, The Second Affiliated Hospital of Soochow University, Suzhou, P.R. China.
Kai SongDepartment of Nephrology, The Second Affiliated Hospital of Soochow University, Suzhou, P.R. China.
Huaying ShenDepartment of Nephrology, The Second Affiliated Hospital of Soochow University, Suzhou, P.R. China.
Sheng FengDepartment of Nephrology, The Second Affiliated Hospital of Soochow University, Suzhou, P.R. China.
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesConcerns are increasing about the clinical characteristics of gram- negative bacterial peritonitis for providing reference for clinical diagnosis, treatment and prevention.

methodsA retrospective analysis was performed examining patients who developed peritoneal dialysis-related peritonitis (PDRP) from 1 January 2009 to 31 December 2018.

resultsAmong 898 PD patients, 677 episodes of peritonitis occurred in 344 patients. Over 10 years, the proportion of gram-negative bacterial peritonitis increased from 0% to 26.15% (

conclusionsOver 10 years, the proportion of gram-negative bacterial peritonitis increased, with

Indexed as

Drug Resistance, MicrobialAdultAnti-Bacterial AgentsC-Reactive ProteinEscherichia coliFemaleGram-Negative BacteriaHumansKidney Failure, ChronicLeukocyte CountLogistic ModelsMaleMiddle AgedMultivariate AnalysisPeritoneal DialysisPeritonitisAnti-Bacterial AgentsC-Reactive ProteinEscherichia coligram-negative organismsPeritoneal dialysisperitonitis

Identifiers

PMID34157941
PMCPMC8237835
OpenAlexW3174587057

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.