Evidence map›Paper›PMID 38239872›Full record

ArticleFrontiers in cardiovascular medicine2023

Influence of

Peng Xi, Yuan Xie, Feifei Huang, Yang Liu, Jiahong Xu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Peng XiDepartment of Cardiology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Yuan XieDepartment of Cardiology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Feifei HuangDepartment of Cardiology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Yang LiuDepartment of Cardiology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Jiahong XuDepartment of Cardiology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Tongji Hospital · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Microcirculatory dysfunction is an independent risk factor for a poor prognosis after percutaneous coronary intervention (PCI) in patients with acute myocardial infarction (AMI). Methods: This study included 155 patients with a history of emergency PCI treatment. In this cohort, 31 patients received a course of TPE, defined as intravenous TPE infusion (12 ml TPE dissolved in 250 ml 5% Glucose Injection) once daily for 7 days on the background of standard treatment after PCI; 124 who did not receive TPE were regarded as the control group and received standard treatment after PCI. The corrected thrombolysis in myocardial infarction frame count (CTFC) and index of microcirculatory resistance (IMR) were used to evaluate myocardial microcirculation. Cardiac function was measured by echocardiography during hospitalization and follow-up. Major adverse cardiac events (MACEs) were recorded for prognostic analysis. Results: At the 6-month follow-up, AMI patients who received TPE after primary PCI had significantly lower levels of CTCF (24.27 ± 2.40 vs. 21.88 ± 1.92, Conclusion: In the context of standard treatment,

Indexed as

acute myocardial infarctionChinese traditional herbmicrocirculationoutcomespercutaneous coronary intervention

Identifiers

PMID38239872
PMCPMC10794635
OpenAlexW4390585211

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.