Evidence map›Paper›PMID 26064346›Full record

ArticleInternational journal of clinical and experimental medicine2015

A simple score for predicting renal artery stenosis in patients with ischemic heart disease.

Qin Ma, Bin Zheng, Kang Meng, Qiang Yong, Yihua He, Jian Wang, Shiying Li, Donghui Zhao, Zhenye Xu, Peng Hao and 5 more

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 24% 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, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

15 authors at 2 institutions in 1 country.

Qin MaDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases Beijing, China.
Bin ZhengDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases Beijing, China.
Kang MengDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases Beijing, China.
Qiang YongDepartment of Ultrasound, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases Beijing, China.
Yihua HeDepartment of Ultrasound, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases Beijing, China.
Jian WangDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases Beijing, China.
Shiying LiDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases Beijing, China.
Donghui ZhaoDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases Beijing, China.
Zhenye XuDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases Beijing, China.
Peng HaoDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases Beijing, China.
Hua ChenDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases Beijing, China.
Kun FuDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases Beijing, China.
Ruixi LiuCapital Medical University Beijing, China.
Shujuan ChengDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases Beijing, China.
Jinghua LiuDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases Beijing, China.
Capital Medical University · CNBeijing Anzhen Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious risk score is not simple for predicting existence of atherosclerotic renal artery stenosis (ARAS). Our study aims to develop a simple score to predict ARAS in eastern people with ischemic heart disease.

methodsThere were two data sources involved in this study. From the data source of patients with acute myocardial infarction, we developed a clinical score for predicting existence of ARAS. After this, we validated this clinical score in data source of patients with ischemic heart failure.

resultsBy multivariable logistic regression analysis, only age, hypertension, stroke or intermittent claudication, serum creatinine were involved in this model. Receiver operating characteristic curve was plotted. In the first data source, area under curve is 0.808 to predict ARAS, and 0.762 for bilateral ARAS. In the second data source, area under curve is 0.721 to predict ARAS, and 0.827 for ARAS. Cutoff value of 35.0 yields a sensitivity of 82.4% and a specificity of 51.0% for ARAS, a sensitivity of 78.9% and a specificity of 47.1% for bilateral ARAS. In the second data source, this cutoff value yields a sensitivity of 85.0% and a specificity of 30.5% for ARAS, a sensitivity of 85.7% and a specificity of 17.5% for bilateral ARAS.

conclusionsWe have developed a simple score for eastern people to predicting existence of ARAS with acceptable sensitivity and specificity in patients with ischemic heart disease. This score is still needed to be validated in general population or patients with no coronary heart disease.

Indexed as

coronary artery diseaseheart failuremyocardial infarctionRenal artery obstructionsystolic

Identifiers

PMID26064346
PMCPMC4443180
OpenAlexW2407948020

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.