Evidence map›Paper›PMID 33790976›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2021

Therapeutic Efficacy and Safety of Safflower Injection in the Treatment of Acute Coronary Syndrome.

Qiang Lu, Jiamin Xu, Qian Li, Wenzhen Wu, Yuling Wu, Jianhui Xie, Xiaobo Yang

Abstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Review
  4. Article
  5. Article
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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.

Qiang LuDepartment of Pharmaceutical Sciences, Zunyi Medical University, Zhuhai Campus, Zhuhai 519041, China.ORCID https://orcid.org/0000-0001-6796-9375
Jiamin XuThe Second School of Medicine, Guangzhou University of Chinese Medicine, Guangzhou 510120, China.
Qian LiThe Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510120, China.
Wenzhen WuThe Second School of Medicine, Guangzhou University of Chinese Medicine, Guangzhou 510120, China.
Yuling WuThe Second School of Medicine, Guangzhou University of Chinese Medicine, Guangzhou 510120, China.
Jianhui XieThe Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510120, China.
Xiaobo YangThe Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510120, China.ORCID https://orcid.org/0000-0001-9909-901X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSafflower injection (SFI), a popular Chinese patent drug, is commonly used to treat acute coronary syndromes (ACSs) in China. The research seeks to scientifically estimate the clinical efficacy of SFI for ACS patients.

methodsEight electronic databases were retrieved for eligible research from the founding date to September 8, 2020. Odds ratio (OR) was adopted to assess the total effective rate, ECG improvement, and adverse reaction, and mean difference (MD) was used for assessing the hemorheology indexes as well as the LVEF.

resultsSixteen randomized controlled trials involving 1620 sufferers with ACS were incorporated. The outcomes showed that, in comparison to conventional medication alone, SFI combined with conventional treatment remarkably enhanced the total effective rate (OR = 3.66, 95% CI [2.73, 4.90],

conclusionDespite the limitations that existed in this meta-analysis, the outcomes demonstrated that SFI and conventional combined medication is an effective and relatively safe therapy for ACS sufferers.

Identifiers

PMID33790976
PMCPMC7994092

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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.