Evidence map›Paper›PMID 36645062›Full record

ArticleRenal failure2023

The effect of rural and urban life on peritonitis rates in chronic peritoneal patients.

Erdem Çankaya, Murat Altunok, Aycan Mutlu Yağanoğlu

Open access · goldAbstract read
In one paragraph

Article in Renal failure, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
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, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  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

3 authors at 1 institution in 1 country.

Erdem ÇankayaDepartment of Nephrology, Medical Faculty, Atatürk University, Erzurum, Turkey.ORCID 0000-0003-3971-3318
Murat AltunokDepartment of Nephrology, Medical Faculty, Atatürk University, Erzurum, Turkey.ORCID 0000-0001-6122-6829
Aycan Mutlu YağanoğluDepartment of Animal Science, Faculty of Agrıculture, Atatürk University, Erzurum, Turkey.ORCID 0000-0002-0163-6989
Atatürk University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt has been reported that living far from the peritoneal dialysis (PD) unit is a risk factor for peritonitis. Considering that PD units are urban located; the question of whether living in a rural area compared to an urban area is a risk factor for peritonitis has arisen.

methodsFrom March 2010 to August 2020, 335 episodes of peritonitis in 202 PD patients followed in a single center were evaluated retrospectively. People living in areas with a population <1000 were defined as living in rural areas regardless of their distance from the PD center. Cox regression analysis was used to identify independent factors associated with peritonitis.

resultsA total of 202 PD patients were followed during 791 patient-years (mean follow-up of 3.9 years per patient). Total patients had 335 episodes of peritonitis and the rate of peritonitis was 0.42 episodes per year (episodes/patient-year). Cox regression analysis revealed that living environment (urban

conclusionsIn Turkey, we report that living in a rural area in our region is not a risk factor for peritonitis. It is not the right approach for both the physician and the patient to be reluctant in the choice of PD due to the concern of peritonitis in rural areas.

Indexed as

Kidney Failure, ChronicPeritoneal DialysisPeritonitisHumansRetrospective StudiesRisk FactorsTreatment OutcomePeritoneal dialysisperitonitis raterural areaurban area

Identifiers

PMID36645062
PMCPMC9848302
OpenAlexW4316468442

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.