Evidence map›Paper›PMID 30126846›Full record

ArticleBioscience reports2018

Endothelial function as predictor in patients with coronary syndrome treated by percutaneous coronary intervention.

Xiaofeng Cheng, Yun He, Huaping Fan, Ting Liu, Wenxu Pan, Ke Wang, Jun Jin

Open access · goldAbstract read
In one paragraph

Article in Bioscience reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. The impact of periodontitis on vascular endothelial dysfunction.Frontiers in cellular and infection microbiology · 2022
    Review
  5. Observational
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

7 authors at 2 institutions in 1 country.

Xiaofeng ChengInstitute of Cardiovascular Diseases of PLA, Chongqing 400038, China.
Yun HeInstitute of Cardiovascular Diseases of PLA, Chongqing 400038, China.
Huaping FanInstitute of Cardiovascular Diseases of PLA, Chongqing 400038, China.
Ting LiuInstitute of Cardiovascular Diseases of PLA, Chongqing 400038, China.
Wenxu PanInstitute of Cardiovascular Diseases of PLA, Chongqing 400038, China.
Ke WangInstitute of Cardiovascular Diseases of PLA, Chongqing 400038, China.
Jun JinInstitute of Cardiovascular Diseases of PLA, Chongqing 400038, China jjxqyy011@163.com.
Army Medical University · CNXinqiao Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed at identifying the predictive role of endothelial function assessed by the RH-PAT index (RHI) for future major cardiovascular events (MACEs) in acute coronary syndrome (ACS) patients treated with percutaneous coronary intervention (PCI). We measured RHI in 308 subjects with ACS, and they were divided into the normal endothelial function (NEF) group and the endothelial dysfunction (DEF) group according to the RHI. The subjects were followed up for a mean of 16 months (interquartile range [IQR]: 14-20 months) after PCI treatment, and their MACEs were also recorded. Cumulative incidence curves were constructed for time-to-event variables with Kaplan-Meier estimates and compared using the log-rank test. The overall incidence of MACEs was 25.39% in the DEF group and 15.96% in the NEF group (

Indexed as

Acute Coronary SyndromeAgedBiomarkersEndotheliumEndothelium, VascularFemaleHeartHumansHyperemiaKaplan-Meier EstimateMaleManometryMiddle AgedMyocardial InfarctionPercutaneous Coronary InterventionProportional Hazards ModelsBiomarkersacute coronary syndromeendothelial functionmajor cardiovascular eventsRH-PAT index

Identifiers

PMID30126846
PMCPMC6435452
OpenAlexW2888254158

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.