Evidence map›Paper›PMID 36237550›Full record

ArticleFrontiers in medicine2022

Short-term blood pressure variability and outcomes in non-dialysis chronic kidney disease.

Ge Wang, Kai Ma, Zhilan Ma, Xiaoyan Guo, Yan Wang, Lan Ma, Chenchen Qi, Yan Li, Xiaoling Zhou

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Asian expert consensus on high-quality hypertension management.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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

9 authors at 4 institutions in 1 country.

Ge WangDepartment of Nephrology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Kai MaDepartment of Chest Surgery, Xi'an International Medical Center Hospital, Xi'an, China.
Zhilan MaDepartment of Nephrology, General Hospital of Ningxia Medical University, Yinchuan, China.
Xiaoyan GuoDepartment of Nephrology, General Hospital of Ningxia Medical University, Yinchuan, China.
Yan WangDepartment of Nephrology, General Hospital of Ningxia Medical University, Yinchuan, China.
Lan MaDepartment of Nephrology, General Hospital of Ningxia Medical University, Yinchuan, China.
Chenchen QiDepartment of Nephrology, NO215.Hospital of Shaanxi Nuclear Industry, Xianyang, China.
Yan LiDepartment of Nephrology, The First People's Hospital of Yinchuan, Yinchuan, China.
Xiaoling ZhouDepartment of Nephrology, General Hospital of Ningxia Medical University, Yinchuan, China.
Ningxia Medical University · CNSecond Affiliated Hospital of Xi'an Jiaotong University · CNXi'an Chest Hospital · CNYinchuan First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Blood pressure variability (BPV) is associated with cardiovascular and all-cause mortality, and has been demonstrated in dialysis patients, but has been poorly studied and remains controversial in non-dialysis chronic kidney disease (CKD) patients. We investigated the effect of short-term BPV on prognosis in this population. Methods: A total of 245 stage 1-4 CKD patients with 24-h ambulatory blood pressure recordings were recruited. BPV was evaluated by standard deviation, coefficient of variation, and variation independent of the mean, respectively. All subjects were followed up to the composite end-point event or until January 15, 2020. Patients were divided into two groups based on 24-h median variation independent of the mean, and demographics, laboratory indicators and echocardiogram results were compared. Logistic regression was used to analyze the risk factors for increased BPV. Multivariate Cox regression and Kaplan-Meier survival analysis were used to explore the relationship between BPV and renal prognosis and major cardiovascular events. Results: The mean age was 42.07 ± 12.66 years, with 141 males (57.55%). Multivariate Logistic regression analysis showed that high BMI (OR 1.110, Conclusions: In non-dialysis CKD, short-term BPV was associated with major cardiovascular disease but not renal progression. BMI, hypertension, potassium balance, and left ventricular end-diastolic diameter influenced short-term BPV.

Indexed as

ambulatory blood pressure monitoringblood pressure variabilitycardiovascular diseasechronic kidney diseaserenal outcome

Identifiers

PMID36237550
PMCPMC9550867
OpenAlexW4297369576

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.