Evidence map›Paper›PMID 26986162›Full record

ArticleMedicine2016

Glycemic Control Modifies Difference in Mortality Risk Between Hemodialysis and Peritoneal Dialysis in Incident Dialysis Patients With Diabetes: Results From a Nationwide Prospective Cohort in Korea.

Mi Jung Lee, Young Eun Kwon, Kyoung Sook Park, Youn Kyung Kee, Chang-Yun Yoon, In Mee Han, Seung Gyu Han, Hyung Jung Oh, Jung Tak Park, Seung Hyeok Han and 6 more

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
3.2field-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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Peritoneal dialysis versus haemodialysis for people commencing dialysis.The Cochrane database of systematic reviews · 2024
    Pooled it
  3. Propensity score matched mortality comparisons of peritoneal and in-centre haemodialysis: systematic review and meta-analysis.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2020
    Pooled it
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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

16 authors at 2 institutions in 1 country.

Mi Jung LeeFrom the Department of Internal Medicine, CHA Bundang Medical Center, CHA University, Seongnam-si (MJL); Department of Internal Medicine (MJL, YEK, KSP, YKK, C-YY, IMH, SGH, HJO, JTP, SHH, T-HY, S-WK); Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul (T-HY, S-WK); Department of Internal Medicine, Kyungpook National University School of Medicine, Daegu (Y-LK); Department of Internal Medicine, Seoul National University College of Medicine (YSK); Department of Internal Medicine, Catholic University of Korea College of Medicine, Seoul (CWY); Department of Internal Medicine, Chonnam National University Medical School, Gwangju (N-HK); and Clinical Research Centre for End-Stage Renal Disease, Daegu, Korea (Y-LK, YSK, CWY, N-HK, S-WK).
Young Eun Kwon
Kyoung Sook Park
Youn Kyung Kee
Chang-Yun Yoon
In Mee Han
Seung Gyu Han
Hyung Jung Oh
Jung Tak Park
Seung Hyeok Han
Tae-Hyun Yoo
Yong-Lim Kim
Yon Su Kim
Chul Woo Yang
Nam-Ho Kim
Shin-Wook Kang
The Yeats Society of Korea · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although numerous studies have tried to elucidate the best dialysis modality in end-stage renal disease patients with diabetes, results were inconsistent and varied with the baseline characteristics of patients. Furthermore, none of the previous studies on diabetic dialysis patients accounted for the impact of glycemic control. We explored whether glycemic control had modifying effect on mortality between hemodialysis (HD) and peritoneal dialysis (PD) in incident dialysis patients with diabetes. A total of 902 diabetic patients who started dialysis between August 2008 and December 2013 were included from a nationwide prospective cohort in Korea. Based on the interaction analysis between hemoglobin A1c (HbA1c) and dialysis modalities for patient survival (P for interaction = 0.004), subjects were stratified into good and poor glycemic control groups (HbA1c< or ≥8.0%). Differences in survival rates according to dialysis modalities were ascertained in each glycemic control group after propensity score matching. During a median follow-up duration of 28 months, the relative risk of death was significantly lower in PD compared with HD in the whole cohort and unmatched patients (whole cohort, hazard ratio [HR] = 0.65, 95% confidence interval [CI] = 0.47-0.90, P = 0.01; patients with available HbA1c [n = 773], HR = 0.64, 95% CI = 0.46-0.91, P = 0.01). In the good glycemic control group, there was a significant survival advantage of PD (HbA1c <8.0%, HR = 0.59, 95% CI = 0.37-0.94, P = 0.03). However, there was no significant difference in survival rates between PD and HD in the poor glycemic control group (HbA1c ≥8.0%, HR = 1.21, 95% CI = 0.46-2.76, P = 0.80). This study demonstrated that the degree of glycemic control modified the mortality risk between dialysis modalities, suggesting that glycemic control might partly contribute to better survival of PD in incident dialysis patients with diabetes.

Indexed as

AgedDiabetes MellitusFemaleFollow-Up StudiesGlycated HemoglobinHumansKidney Failure, ChronicMaleMiddle AgedPeritoneal DialysisPropensity ScoreProspective StudiesRenal DialysisRepublic of KoreaRisk FactorsSurvival RateGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID26986162
PMCPMC4839943
OpenAlexW2338490056

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.