Evidence map›Paper›PMID 35778587›Full record

ArticleEndocrine2022

Interaction effect of blood glucose and pressure on the risk of chronic kidney disease: a population-based prospective cohort study.

Minzhen Wang, Miao Xia, Hongyan Yang, Desheng Zhang, Yanan Zhao, Yingqian He, Jing Liu, Lulu Zhang, Chun Yin, Yana Bai

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Endocrine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Guideline
  2. Combined effects of blood pressure and glucose status on the risk of chronic kidney disease.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
    Article
  3. Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Minzhen Wang *Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, Gansu, China.
Miao Xia *Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, Gansu, China.
Hongyan YangDepartment of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, Gansu, China.
Desheng ZhangWorkers' Hospital of Jinchuan Group Co, Ltd, Jinchang, 737100, Gansu, China.
Yanan ZhaoDepartment of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, Gansu, China.
Yingqian HeDepartment of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, Gansu, China.
Jing LiuDepartment of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, Gansu, China.
Lulu ZhangDepartment of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, Gansu, China.
Chun YinWorkers' Hospital of Jinchuan Group Co, Ltd, Jinchang, 737100, Gansu, China. yinchun0217@sina.com.
Yana BaiDepartment of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, 730000, Gansu, China. baiyana@lzu.edu.cn.
Lanzhou University · CNJinchuan (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the interaction effect of blood glucose and blood pressure on the risk of chronic kidney disease (CKD).

methods31,165 subjects were selected without CKD at baseline and had completed the first follow-up from "Jinchang cohort". Cox regression model and restricted cubic splines functions were used to evaluate the effects of blood glucose or pressure on the incidence of CKD and dose-response relationship after adjusting for confounding covariates. Synergic effect was assessed by the multiplicative or additive interaction scale.

resultsAmong 31,165 subjects, 1307 new-onset CKD were observed during 68905.78 person-years follow-up, and the incidence density was 18.97 per 1000 person-years. The risk of CKD gradually increased with the increase of blood pressure in diabetes, pre-diabetes and normal groups (P

conclusionsBlood glucose and pressure were independent risk factors in incidence of CKD, but there was only a negative multiplicative interaction between hypertension and diabetes, but no additive interaction effect between them.

Indexed as

Diabetes MellitusHypertensionRenal Insufficiency, ChronicBlood GlucoseBlood PressureCohort StudiesHumansProspective StudiesRisk FactorsBlood GlucoseBlood glucoseBlood pressureChronic kidney diseaseInteractionProspective cohort study

Identifiers

PMID35778587
OpenAlexW4283776844

What OpenQuestion holds

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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.