Evidence map›Paper›PMID 26285034›Full record

ArticlePloS one2015

Glycemic Control and Mortality in Diabetic Patients Undergoing Dialysis Focusing on the Effects of Age and Dialysis Type: A Prospective Cohort Study in Korea.

Ji In Park, Eunjin Bae, Yong-Lim Kim, Shin-Wook Kang, Chul Woo Yang, Nam-Ho Kim, Jung Pyo Lee, Dong Ki Kim, Kwon Wook Joo, Yon Su Kim and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Peritoneal dialysis versus haemodialysis for people commencing dialysis.The Cochrane database of systematic reviews · 2024
    Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Observational
  7. Review
  8. Burnt Out? The Phenomenon of Type 2 Diabetes Mellitus in End-Stage Renal Disease.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2020
    Article
  9. Article
  10. Article
  11. Review
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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

11 authors at 6 institutions in 1 country.

Ji In ParkDepartment of Internal Medicine, Kangwon National University College of Medicine, Chuncheon, Korea; Clinical Research Center of End Stage Renal Disease in Korea, Daegu, Korea.
Eunjin BaeClinical Research Center of End Stage Renal Disease in Korea, Daegu, Korea; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Yong-Lim KimClinical Research Center of End Stage Renal Disease in Korea, Daegu, Korea; Department of Internal Medicine, Kyungpook National University School of Medicine, Daegu, Korea.
Shin-Wook KangClinical Research Center of End Stage Renal Disease in Korea, Daegu, Korea; Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
Chul Woo YangClinical Research Center of End Stage Renal Disease in Korea, Daegu, Korea; Department of Internal Medicine, The Catholic University of Korea College of Medicine, Seoul, Korea.
Nam-Ho KimClinical Research Center of End Stage Renal Disease in Korea, Daegu, Korea; Department of Internal Medicine, Chonnam National University Medical School, Gwangju, Korea.
Jung Pyo LeeClinical Research Center of End Stage Renal Disease in Korea, Daegu, Korea; Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea.
Dong Ki KimClinical Research Center of End Stage Renal Disease in Korea, Daegu, Korea; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Kwon Wook JooClinical Research Center of End Stage Renal Disease in Korea, Daegu, Korea; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Yon Su KimClinical Research Center of End Stage Renal Disease in Korea, Daegu, Korea; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Hajeong LeeClinical Research Center of End Stage Renal Disease in Korea, Daegu, Korea; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Seoul National University · KRCatholic University of Korea · KRChonnam National University · KRKangwon National University · KRKyungpook National University · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundActive glycemic control has been proven to delay the onset and slow the progression of diabetic retinopathy, nephropathy, and neuropathy in diabetic patients, but the optimal level is obscure in end-stage renal disease. In this study, we evaluated the effect of hemoglobin A1c (HbA1c) on mortality of diabetic patients on dialysis, focusing on age and dialysis type.

methodsOf 3,302 patients enrolled in the prospective cohort for end-stage renal disease in Korea between August 2008 and October 2013, 1,239 diabetic patients who had been diagnosed with diabetes or having HbA1c≥6.5% at the time of enrollment were analyzed. Age was categorized as <55, 55-64 and ≥65 years old. Age, sex, modified Charlson comorbidity index, hemoglobin, primary renal disease, body mass index, and dialysis duration were adjusted.

resultsA total of 873 patients received hemodialysis (HD) and 366 underwent peritoneal dialysis (PD). During the mean follow-up of 19.1 months, 141 patients died. Patients with poor glucose control (HbA1c≥8%) showed worse survival than patients with HbA1c<8% (hazard ratio [HR], 2.2; 95% confidence interval [CI], 1.48-3.29; P<0.001). Subgroup analysis divided by age revealed that HbA1c≥8% was a predictor of mortality in age <55 (HR, 4.3; 95% CI, 1.78-10.41; P = 0.001) and age 55-64 groups (HR, 3.3; 95% CI, 1.56-7.05; P = 0.002), but not in age ≥65 group. Combining dialysis type and age, poor glucose control negatively affected survival only in age < 55 group among HD patients, but it was significant in age < 55 and age 55-64 groups in PD patients. Deaths from infection were more prevalent in the PD group, and poor glucose control tended to correlate with more deaths from infection in PD patients (P = 0.050).

conclusionsIn this study, the effect of glycemic control differed according to age and dialysis type in diabetic patients. Thus, the target of glycemic control should be customized; further observational studies may strengthen the clinical relevance.

Indexed as

AdolescentAdultAgedAge FactorsBlood GlucoseDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansHyperglycemiaHypoglycemiaKidney Failure, ChronicMaleMiddle AgedPeritoneal DialysisProspective StudiesBlood GlucoseGlycated Hemoglobin

Identifiers

PMID26285034
PMCPMC4540490
OpenAlexW1182750803

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.