Evidence map›Paper›PMID 33093616›Full record

ArticleJournal of human hypertension2021

Relationship between blood pressure and kidney diseases in large randomized controlled trials: secondary analyses using SPRINT and ACCORD-BP trials.

Ling Wang, Kevin Pezeshkian, Supratik Rayamajhi, Khader Herzallah, Abdullah Al-Abcha, Adesuwa Olomu, Karen Kelly-Blake, Eunice Yu, Donna H Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of human hypertension, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Diabetic kidney disease-Recent updates.Journal of diabetes · 2024
    Article
  3. 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 1 institution in 1 country.

Ling WangDepartment of Medicine, College of Human Medicine, Michigan State University, East Lansing, MI, USA. wangli35@msu.edu.ORCID 0000-0003-2452-6691
Kevin PezeshkianDepartment of Microbiology & Molecular Genetics, College of Natural Science, Michigan State University, East Lansing, MI, USA.
Supratik RayamajhiDepartment of Medicine, College of Human Medicine, Michigan State University, East Lansing, MI, USA.
Khader HerzallahDepartment of Medicine, College of Human Medicine, Michigan State University, East Lansing, MI, USA.
Abdullah Al-AbchaDepartment of Medicine, College of Human Medicine, Michigan State University, East Lansing, MI, USA.ORCID 0000-0002-9025-7453
Adesuwa OlomuDepartment of Medicine, College of Human Medicine, Michigan State University, East Lansing, MI, USA.
Karen Kelly-BlakeDepartment of Medicine, College of Human Medicine, Michigan State University, East Lansing, MI, USA.
Eunice YuPrimary Care Henry Ford Medical Group, Detroit, MI, USA.
Donna H WangDepartment of Medicine, College of Human Medicine, Michigan State University, East Lansing, MI, USA.
Michigan State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension is a risk factor for acute kidney injury. In this study, we aimed to identify the optimal blood pressure (BP) targets for CKD and non-CKD patients. We analyzed the data of the Systolic Blood Pressure Intervention Trial (SPRINT) and the Action to Control Cardiovascular Risk in Diabetes Blood Pressure trial (ACCORD BP) to determine the nonlinear relationship between BP and renal disease development using the Generalized Additive Model (GAM). Optimal systolic BP/diastolic BP (SBP/DBP) with lowest renal risk were estimated using GAM. Logistic regression was employed to find odds ratios (ORs) of adverse renal outcomes by three BP groups (high/medium/low). Both study trials have demonstrated a "U"-shaped relationship between BP and renal outcomes. For non-CKD patients in SPRINT trial, risk of 30% reduction in eGFR among intensive group patients with DBP ≤ 70 mmHg was significantly higher than the group with DBP between 71 and 85 mmHg (OR = 2.31, 95% CI = 1.51-3.53). For non-CKD patients in ACCORD trial, risk of doubling of serum creatinine (SCr) or >20 mL/min decrease in eGFR among intensive group patients with DBP ≤ 70 mmHg was significantly higher than the group with DBP between 71 and 85 mmHg (OR = 1.49, 95% CI = 1.12-1.99). For CKD patients in SPRINT trial, there are no significant differences in renal outcomes by different SBP/DBP levels. Our analysis of both SPRINT and ACCORD datasets demonstrated that lower-than-optimal DBP may lead to poor renal outcomes in non-CKD patients. Healthcare providers should be cautious of too low DBP level in intensive BP management due to poor renal outcomes for non-CKD patients.

Indexed as

HypertensionKidney DiseasesAntihypertensive AgentsBlood PressureGlomerular Filtration RateHumansRandomized Controlled Trials as TopicAntihypertensive Agents

Identifiers

PMID33093616
OpenAlexW3094161500

What OpenQuestion holds

Textmetadata
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.