Evidence map›Paper›PMID 26846361›Full record

SynthesisMolecular neurobiology2017

Comparative Efficacy and Safety of Nine Anti-Platelet Therapies for Patients with Ischemic Stroke or Transient Ischemic Attack: a Mixed Treatment Comparisons.

Hua-Pin Huang, Wan-Hui Lin, Sheng-Gen Chen, Li-Zhen Chen, Min-Yi Chen, Chun-Hui Che

Abstract readComparative StudyMeta-AnalysisNetwork Meta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Molecular neurobiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 3 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

5 citing papers in PubMed, 3 syntheses or guidelines pooled it, 8 citations in OpenAlex.

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

6 authors at 2 institutions in 1 country.

Hua-Pin HuangDepartment of Neurology, Union Hospital of Fujian Medical University, 29 Xin-Quan Road, Fuzhou, 350001, Fujian, China.
Wan-Hui LinDepartment of Neurology, Union Hospital of Fujian Medical University, 29 Xin-Quan Road, Fuzhou, 350001, Fujian, China.
Sheng-Gen ChenDepartment of Neurology, Union Hospital of Fujian Medical University, 29 Xin-Quan Road, Fuzhou, 350001, Fujian, China.
Li-Zhen ChenDepartment of Neurology, Union Hospital of Fujian Medical University, 29 Xin-Quan Road, Fuzhou, 350001, Fujian, China.
Min-Yi ChenDepartment of Neurology, Union Hospital of Fujian Medical University, 29 Xin-Quan Road, Fuzhou, 350001, Fujian, China.
Chun-Hui CheDepartment of Neurology and Geriatrics, Union Hospital of Fujian Medical University, 29 Xin-Quan Road, Fuzhou, 350001, Fujian, China. chuihuiche@yeah.net.
Fujian Medical University · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-platelet treatments, an effective anti-thrombotic therapy, are widely used in non-cardioembolic ischemic stroke or transient ischemic attack (TIA), including aspirin, cilostazol, clopidogrel, and other mono or dual therapies, while the optimal choice remains uncertain. All the literatures of 38 eligible randomized control trials were searched in PubMed, Embase, and China National Knowledge Internet (CNKI) without language limitation. And, nine anti-platelet therapies were assessed, including aspirin, clopidogrel, cilostazol, ticlopidine, triflusal, terutroban, sarpogrelate, dipyridamole plus aspirin, and clopidogrel plus aspirin. Additionally, we extract data of composite vascular events, major bleeding, ischemic stroke, intracranial hemorrhage, and all-cause death, as indicators of efficacy and safety. And among them, composite vascular events were the primary outcome. The binary outcomes were expressed as odds ratios (ORs) with corresponding 95 % confidence intervals (CIs). Both traditional meta-analysis and network meta-analysis were performed. Besides, for each outcome, the rank order was applied to reflect the superiority of every therapy compared with others, using the surface under the cumulative ranking curve (SUCRA). A cluster analysis was also conducted. Through the network meta-analysis, the synthesized data shows that cilostazol performed best on composite vascular events compared with placebo (OR = 0.62, 95 % CI 0.46-0.83) and aspirin (OR = 0.71, 95 % CI 0.53-0.95). In terms of ischemic stroke, clopidogrel plus aspirin seems the optimal, and it has significant difference between placebo (OR = 0.53, 95 % CI 0.35-0.74) and aspirin (OR = 0.75, 95 % CI 0.61-0.95). Meanwhile, cilostazol is also the first rank in major bleeding, especially when it is in contrast to aspirin (OR = 0.13, 95 % CI 0.02-0.70) and clopidogrel plus aspirin (OR = 0.09, 95 % CI 0.01-0.50). There is no significant difference among these nine treatments and placebo, as to all-cause death and intracranial hemorrhage. According to the cluster analysis, cilostazol can be the best choice with comprehensive assessment of composite vascular events, ischemic stroke and major bleeding. Based on this network meta-analysis, cilostazol was recommended as the optimal choice with good performance in both efficacy and safety for patient with ischemic stroke or TIA among nine anti-platelet therapies.

Indexed as

Brain IschemiaIschemic Attack, TransientPlatelet Aggregation InhibitorsRandomized Controlled Trials as TopicStrokeBlood PlateletsDrug Therapy, CombinationHumansTreatment OutcomePlatelet Aggregation InhibitorsAnti-platelet therapyAspirinCilostazolClopidogrelDipyridamoleIschemic strokeNetwork meta-analysisTransient ischemic attack

Identifiers

PMID26846361
OpenAlexW2263078464

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.