Evidence map›Paper›PMID 25292405›Full record

Observational studyPeritoneal dialysis international : journal of the International Society for Peritoneal Dialysis2015

The Impact of Timing of Dialysis Initiation on Mortality in Patients with Peritoneal Dialysis.

Hyung Wook Kim, Su-Hyun Kim, Young Ok Kim, Dong Chan Jin, Ho Chul Song, Euy Jin Choi, Yong-Lim Kim, Yon-Su Kim, Shin-Wook Kang, Nam-Ho Kim and 2 more

Abstract readObservational Study
In one paragraph

Observational study in Peritoneal dialysis international : journal of the International Society for Peritoneal Dialysis, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

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

12 authors.

Hyung Wook KimDepartment of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea Department of Internal Medicine, St. Vincent's Hospital, Suwon, Korea.
Su-Hyun KimDepartment of Internal Medicine, College of Medicine, Chung-Ang University, Seoul, Korea.
Young Ok KimDepartment of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Dong Chan JinDepartment of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Ho Chul SongDepartment of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Euy Jin ChoiDepartment of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Yong-Lim KimDepartment of Internal Medicine, School of Medicine, Kyungpook National University, Korea.
Yon-Su KimDepartment of Internal Medicine, College of Medicine, Seoul National University, Seoul, Korea.
Shin-Wook KangDepartment of Internal Medicine, College of Medicine, Yonsei University, Seoul, Korea.
Nam-Ho KimDepartment of Internal Medicine, Chonnam National University Medical School, Gwangju, Korea.
Chul Woo YangDepartment of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Yong Kyun KimDepartment of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea MRC for Cell Death Disease Research Center, The Catholic University of Korea, Seoul, Korea drkimyk@catholic.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelled♦

backgroundThe impact of timing of dialysis initiation on mortality is controversial in patients with peritoneal dialysis (PD). In this study, we analyzed the impact of timing of dialysis initiation on mortality in the incident PD population. ♦

methodsIncident patients with PD were selected from the Clinical Research Center (CRC) registry for end-stage renal disease (ESRD), a prospective cohort study on dialysis in Korea. Patients were categorized into 3 groups according to the estimated glomerular filtration rate (eGFR) at the initiation of PD using the Modification of Diet in Renal Disease (MDRD) equation. Group A was defined as eGFR < 5 mL/min/1.73m(2), group B as eGFR 5 - 10 mL/min/1.73m(2), and group C as eGFR > 10 mL/min/1.73m(2). Cox regression analysis was used to calculate the adjusted hazard ratio (HR) of mortality with group B as the reference. The primary outcome was all-cause mortality. ♦

resultsA total of 495 incident PD patients were included. The number of patients in group A was 109, group B was 279, and group C was 107. The median follow-up period was 23 months. Multivariate Cox regression analysis showed that group A had a significantly higher risk of all-cause mortality compared with group B (HR 4.13, 95% confidence interval [CI], 1.55 - 11.03, p = 0.005) after adjustment for age, gender, cause of ESRD, serum albumin level, diabetes mellitus, and cardiovascular disease. There was no significant difference in mortality between group C and group B (HR 1.50, 95% CI, 0.59 - 3.80, p = 0.398) after adjustment for clinical variables. ♦

conclusionAn eGFR < 5 mL/min/1.73m(2) at the initiation of PD was a significant risk factor for death, while an eGFR >10 mL/min/1.73m(2) at the initiation of PD was not associated with improved survival compared with an eGFR of 5 - 10 mL/min/1.73m(2) at the initiation of PD.

Indexed as

Peritoneal DialysisAdultAgedCohort StudiesFemaleGlomerular Filtration RateHumansKidney Failure, ChronicMaleMiddle AgedProportional Hazards ModelsRepublic of KoreaRisk FactorsTime Factorsend-stage renal diseaseglomerular filtration ratemortalityPeritoneal dialysissurvival

Identifiers

PMID25292405
PMCPMC4690625

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Registered trials

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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.