Evidence map›Paper›PMID 28491084›Full record

ArticleJournal of geriatric cardiology : JGC2017

The impact of optimal medical therapy at discharge on mortality in patients with coronary artery disease.

Shi-Jian Chen, Wei Liu, Bao-Tao Huang, Jia-Yu Tsauo, Xiao-Bo Pu, Yong Peng, Mao Chen, De-Jia Huang

Abstract read
In one paragraph

Article in Journal of geriatric cardiology : JGC, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. 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

8 authors at 3 institutions in 1 country.

Shi-Jian ChenDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, China.
Wei LiuDepartment of Cardiology, Guizhou Provincial People's Hospital, Guizhou, China.
Bao-Tao HuangDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, China.
Jia-Yu TsauoDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, China.
Xiao-Bo PuDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, China.
Yong PengDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, China.
Mao ChenDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, China.
De-Jia HuangDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, China.
West China Hospital of Sichuan University · CNSichuan University · CNGuizhou Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the current usage of optimal medical therapy (OMT), influencing factors, and the predictive value of OMT for all-cause mortality in coronary artery disease (CAD) patients with different subgroups.

methodsA total of 3176 CAD patients confirmed by coronary angiography were included. OMT was defined as the combination of anti-platelet drugs, statins, beta blockers, and angiotensin converting enzyme inhibitors or angiotensin receptor blockers. Factors for OMT and its prognostic value were analyzed in CAD patients across different subgroups.

resultsOut of 3176 patients, only 39.8% (

conclusionsOMT was associated with significant improvement in survival in patients with CAD. The positive impact of OMT was distinct in the CAD patients with different characteristics.

Indexed as

Coronary artery diseaseOptimal medical therapyPrognosis

Identifiers

PMID28491084
PMCPMC5409351
OpenAlexW2611096334

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.