Evidence map›Paper›PMID 36155491›Full record

ArticlePloS one2022

Association of poorly controlled HbA1c with increased risk of progression to end-stage kidney disease and all-cause mortality in patients with diabetes and chronic kidney disease.

Sheng-Jen Chen, Hsiu-Yin Chiang, Pei-Shan Chen, Shih-Ni Chang, Sheng-Hsuan Chen, Min-Yen Wu, Hung-Chieh Yeh, I-Wen Ting, Hsiu-Chen Tsai, Pei-Chun Chen and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
0.4field-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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Trial
  4. Article
  5. Article
  6. Article
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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 1 institution in 1 country.

Sheng-Jen ChenDepartment of Education, China Medical University Hospital and College of Medicine, China Medical University, Taichung, Taiwan.
Hsiu-Yin ChiangBig Data Center, China Medical University Hospital, Taichung, Taiwan.
Pei-Shan ChenBig Data Center, China Medical University Hospital, Taichung, Taiwan.
Shih-Ni ChangBig Data Center, China Medical University Hospital, Taichung, Taiwan.
Sheng-Hsuan ChenBig Data Center, China Medical University Hospital, Taichung, Taiwan.
Min-Yen WuBig Data Center, China Medical University Hospital, Taichung, Taiwan.
Hung-Chieh YehDivision of Nephrology, Department of Internal Medicine, China Medical University Hospital and College of Medicine, China Medical University, Taichung, Taiwan.
I-Wen TingDivision of Nephrology, Department of Internal Medicine, China Medical University Hospital and College of Medicine, China Medical University, Taichung, Taiwan.
Hsiu-Chen TsaiBig Data Center, China Medical University Hospital, Taichung, Taiwan.
Pei-Chun ChenDepartment of Public Health, China Medical University, Taichung, Taiwan.ORCID 0000-0002-8713-8816
Chin-Chi KuoBig Data Center, China Medical University Hospital, Taichung, Taiwan.
China Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycosylated hemoglobin (HbA1c) targets for patients with chronic kidney disease (CKD) and type 2 diabetes remain controversial. To evaluate whether baseline HbA1c and HbA1c trajectories are associated with the risk of end-stage kidney disease (ESKD) and all-cause mortality, we recruited adult patients with CKD and type 2 diabetes from a "Pre-ESKD Program" at a medical center in Taiwan from 2003 to 2017. Group-based trajectory modeling was performed to identify distinct patient groups that contained patients with similar longitudinal HbA1c patterns. Cox proportional hazard models were used to estimate hazard ratios (HRs) of ESKD and mortality associated with baseline HbA1c levels and HbA1c trajectories. In the analysis related to baseline HbA1c (n = 4543), the adjusted HRs [95% confidence interval (CI)] of all-cause mortality were 1.06 (0.95-1.18) and 1.25 (95% CI, 1.07-1.46) in patients with an HbA1c level of 7%-9% (53-75 mmol/mol) and >9% (>75 mmol/mol), respectively, as compared with those with an HbA1c level < 7% (<53 mmol/mol). In the trajectory analysis (n = 2692), three distinct longitudinal HbA1c trajectories were identified: nearly optimal (55.9%), moderate to stable (34.2%), and poor control (9.9%). Compared with the "nearly optimal" HbA1c trajectory group, the "moderate-to-stable" group did not have significantly higher mortality, but the "poorly controlled" group had 35% higher risk of mortality (adjusted HR = 1.35, 95% CI = 1.06-1.71). Neither baseline levels of HbA1c nor trajectories were associated with ESKD risk. In conclusion, in patients with CKD and type 2 diabetes, poor glycemic control was associated with an elevated risk of mortality but not associated with a risk of progression to ESKD.

Indexed as

Diabetes Mellitus, Type 2HyperglycemiaKidney Failure, ChronicRenal Insufficiency, ChronicAdultGlycated HemoglobinHumansGlycated Hemoglobin

Identifiers

PMID36155491
PMCPMC9512200
OpenAlexW4297259956

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.