Evidence map›Paper›PMID 35448468›Full record

ArticleMetabolites2022

Serum Metabolites Associated with Blood Pressure in Chronic Kidney Disease Patients.

Fengyao Yan, Dan-Qian Chen, Jijun Tang, Ying-Yong Zhao, Yan Guo

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2022. 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 46% 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. 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

5 authors at 3 institutions in 2 countries.

Fengyao YanDepartment of Computer Science, University of South Carolina, Columbia, SC 37027, USA.
Dan-Qian ChenFaculty of Life Science and Medicine, Northwest University, Xi'an 710127, China.
Jijun TangDepartment of Computer Science, University of South Carolina, Columbia, SC 37027, USA.
Ying-Yong ZhaoFaculty of Life Science and Medicine, Northwest University, Xi'an 710127, China.ORCID 0000-0002-0239-7342
Yan GuoDepartment of Internal Medicine, University of New Mexico, Albuquerque, NM 87109, USA.ORCID 0000-0001-5252-3960
Northwest University · CNUniversity of South Carolina · USUniversity of New Mexico · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood pressure is one of the most basic health screenings and it has a complex relationship with chronic kidney disease (CKD). Controlling blood pressure for CKD patients is crucial for curbing kidney function decline and reducing the risk of cardiovascular disease. Two independent CKD cohorts, including matched controls (discovery

Indexed as

blood pressurechronic kidney diseasehypertension

Identifiers

PMID35448468
PMCPMC9027690
OpenAlexW4221013911

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.