Evidence map›Paper›PMID 32041385›Full record

ArticleTurkish journal of medical sciences2020

Long-term clinical outcomes of peritoneal dialysis patients: 9-year experience of a single centre in Turkey

Nihan Tekkarişmaz, Dilek Torun

Abstract read
In one paragraph

Article in Turkish journal of medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

2 authors.

Nihan TekkarişmazDepartment of Nephrology, Faculty of Medicine, Başkent University, Adana, TurkeyORCID 0000-0001-7631-7395
Dilek TorunDepartment of Nephrology, Faculty of Medicine, Başkent University, Adana, TurkeyORCID 0000-0002-6267-3695

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/aim: The aim of this study was to evaluate the clinical outcomes and identify the predictors of mortality in peritoneal dialysis patients. Materials and methods: Medical records of all incident peritoneal dialysis (PD) patients followed up between January 2011 and May 2019 were reviewed retrospectively. All patients were followed up until death, renal transplantation, transfer to haemodialysis or the end of the study. Results: A total of 242 patients were included in the study. The incidence of peritonitis was 0.18 (ranging from 0 to 14.9) episodes per patient year. Death occurred in 28% (n: 68) of cases. Age, diabetes mellitus, malignancy and refractory heart failure were independent risk factors for all-cause mortality according to multivariate analysis. The presence of comorbid disease and diabetes mellitus and patients aged > 65 years were associated with increased risk of mortality and decreased patient survival. Peritonitis history was associated with increased risk of mortality. Between peritonitis and peritonitis-free group, there was no significant difference in Kaplan-Meier curves in terms of patient survival. Conclusion: This is the first study to define 9-year mortality predictors in PD patients in our centre. Although peritonitis is the most feared complication of PD, our study showed that peritonitis did not reduce patient survival.

Indexed as

Peritoneal DialysisAdultAgedDiabetes MellitusFemaleHumansKidney TransplantationMaleMiddle AgedPeritonitisRenal DialysisRetrospective StudiesTurkeymortalitypatient survivalPeritoneal dialysisperitonitistechnique survival

Identifiers

PMID32041385
PMCPMC7164764

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.