Evidence map›Paper›PMID 28191514›Full record

ArticleJournal of translational internal medicine2016

Anticoagulant therapy for non-ST-segment elevation acute coronary syndrome in China: A multi-center observational study.

Xiao-Huan Gong, Jin-Ming Yu, Yong Mao, Da-Yi Hu

Open access · hybridAbstract read
In one paragraph

Article in Journal of translational internal medicine, 2016. 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
0.7field-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, 4 citations in OpenAlex.

  1. Article
  2. Circular RNAs in thoracic diseases.Journal of thoracic disease · 2017
    Review
  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

4 authors at 2 institutions in 1 country.

Xiao-Huan GongKey Laboratory of Public Health Safety, Ministry of Education, Centre for Clinical Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China.
Jin-Ming YuKey Laboratory of Public Health Safety, Ministry of Education, Centre for Clinical Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China.
Yong MaoKey Laboratory of Public Health Safety, Ministry of Education, Centre for Clinical Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China.
Da-Yi HuHeart Center, Peking University People's Hospital, Peking 100044, China.
Fudan University · CNPeking University People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the anticoagulant therapy for non-ST-segment elevation acute coronary syndrome (NSTE-ACS) in China and to offer the rationale for establishing reasonable strategies to improve the prognosis of NSTE-ACS.

methodsA total of 1,502 patients with NSTE-ACS were recruited from 28 third-grade hospitals distributed in 14 provinces and cities in China from December 2009 to December 2011. The strategies for diagnosis and treatment, decided by each hospital respectively, were used for further analysis and comparison of medication, percutaneous coronary intervention (PCI), and end points for efficacy and safety assessment at 9 and 30 days following PCI.

resultsA lower incidence rate (

conclusionCompared with NSTE-MI, UA is featured with better prognosis, less severity, and different outcome. However, in clinical practice, the therapies for NSTE-MI and UA show no differences, which deserves great attention. In China, the most common anticoagulant therapies for NSTE-ACS are single medication, mainly based on LMWH and PCI.

Indexed as

acute coronary syndromeanticoagulantmyocardial infarctionST-segment elevationunstable angina

Identifiers

PMID28191514
PMCPMC5290911
OpenAlexW2560640064

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.