Evidence map›Paper›PMID 35236943›Full record

ArticleHypertension research : official journal of the Japanese Society of Hypertension2022

Effect of blood pressure trajectory and variability on new-onset chronic kidney disease in patients with type 2 diabetes.

Cheng-Chieh Lin, Chia-Ing Li, Chiu-Shong Liu, Chih-Hsueh Lin, Mu-Cyun Wang, Shing-Yu Yang, Tsai-Chung Li

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Article in Hypertension research : official journal of the Japanese Society of Hypertension, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 2023 update and perspectives.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
    Review
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

7 authors at 3 institutions in 1 country.

Cheng-Chieh Lin *School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan, ROC.
Chia-Ing Li *School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan, ROC.
Chiu-Shong LiuSchool of Medicine, College of Medicine, China Medical University, Taichung, Taiwan, ROC.
Chih-Hsueh LinSchool of Medicine, College of Medicine, China Medical University, Taichung, Taiwan, ROC.
Mu-Cyun WangDepartment of Geriatrics and Gerontology, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan, ROC.
Shing-Yu YangDepartment of Public Health, College of Public Health, China Medical University, Taichung, Taiwan, ROC.
Tsai-Chung LiDepartment of Public Health, College of Public Health, China Medical University, Taichung, Taiwan, ROC. tcli@mail.cmu.edu.tw.
China Medical University · TWChina Medical University Hospital · TWNational Taiwan University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to evaluate the effects of BP trajectory and variability on chronic kidney disease (CKD) incidence in patients with type 2 diabetes. This retrospective longitudinal study included 4,560 participants with type 2 diabetes, aged ≥30 years, free of CKD, with ≥3 years of follow-up, and who attended the Diabetes Care Management Program in 2001-2013. The follow-up period ended in 2016. The adverse outcome was a new-onset CKD event, which was determined using eGFR and albuminuria. Cox proportional hazards models were used to assess the associations. At the end of the follow-up, 1255 participants had developed CKD, with a mean follow-up of 4.3 ± 3.2 years. Three trajectory subgroups of BP, i.e., Cluster 1: "moderate-stable" for SBP and "moderate-downward" for DBP, Cluster 2: "low-upward-downward" for both SBP and DBP, and Cluster 3: "high-downward-upward" for both SBP and DBP, were generated. The BP variability was grouped into three classes on the basis of tertiles. For the BP trajectory, patients in Cluster 3 of DBP had a higher CKD risk than those in Cluster 1 (HR = 1.24, 95% CI = 1.03-1.50). For the BP variability, patients in Tertile 3 had a significantly higher CKD risk than those in Tertile 1 (SBP: 1.28, 1.11-1.47; DBP: 1.17, 1.02-1.34). Persons with type 2 diabetes who achieved a small reduction in DBP after participating in the education program but rebounded and those who had the highest variation in both SBP and DBP faced the highest increase in CKD risk.

Indexed as

Diabetes Mellitus, Type 2HypertensionRenal Insufficiency, ChronicBlood PressureFemaleHumansLongitudinal StudiesMaleRetrospective StudiesRisk FactorsBlood pressure trajectoryBlood pressure variabilityChronic kidney diseaseType 2 diabetes

Identifiers

PMID35236943
OpenAlexW4214911139

What OpenQuestion holds

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Read underepoch 390

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.