Evidence map›Paper›PMID 36603558›Full record

ArticlePharmacology2023

Comparative Efficacy and Safety of Thrombolytic Agents for Pulmonary Embolism: A Bayesian Network Meta-Analysis.

Hong-Yan Li, Yong-Bo Wang, Xiang-Ying Ren, Jing Wang, Hai-Shan Wang, Ying-Hui Jin

Open access · hybridAbstract readNetwork Meta-Analysis
In one paragraph

Article in Pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

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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

2 citing papers in PubMed, 15 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Hong-Yan LiDepartment of Pharmacy, Qindao University Medical College Affiliated Yantai Yuhuangding Hospital, Yantai, China.
Yong-Bo WangCenter for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China.
Xiang-Ying RenCenter for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China.
Jing WangDepartment of Pharmacy, Qindao University Medical College Affiliated Yantai Yuhuangding Hospital, Yantai, China.
Hai-Shan WangDepartment of Intensive Care Unit, Yantai YEDA Hospital, Yantai, China.
Ying-Hui JinCenter for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China.
Wuhan University · CNYuhuangding Hospital · CNYantaishan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThrombolytic agents and anticoagulants are the two classes of medication used in the treatment of acute pulmonary embolism (PE). There is continuous renewal and iteration of thrombolytic agents, and the efficacy and adverse effects of different agents have different effects on PE due to their different mechanisms of action.

objectivesThe aim of the study was to evaluate the efficacy and safety of different thrombolytic agents in the treatment of all types of acute PE: hemodynamically unstable PE (massive PE) and hemodynamically stable PE (submassive PE and low-risk PE), using a network meta-analysis.

methodsA search was conducted of the following databases: PubMed, The Cochrane Library, Embase, and Web of Science to collect randomized controlled trials (RCTs) comparing thrombolytic agents with heparin or other thrombolytic agents in patients with acute PE; the clinical outcomes included patient mortality, recurrent PE, pulmonary artery systolic pressure (PASP) after treatment, and major and minor bleeding. The measurement duration of outcome indicators was the longest follow-up period. Thereafter, a network meta-analysis was performed using a Bayesian network framework.

resultsA total of 29 RCTs (3,067 patients) were included, of which 6 studies (304 patients) were massive PE, 14 studies (2,173 patients) were submassive PE, 1 study (83 patients) included massive and submassive PE, and 8 studies (507 patients) were PE of unknown type. The treatment regimens included thrombolytic therapy (alteplase, reteplase, tenecteplase, streptokinase, and urokinase) and anticoagulant therapy alone. The results showed that the mortality using thrombolytic agents (except tenecteplase) was significantly lower compared with heparin. The recurrence of PE with alteplase was significantly lower compared with heparin (RR = 0.23, 95% CI, 0.04, 0.65). The PASP after using alteplase was significantly lower compared with heparin (mean difference = -11.36, 95% CI, -21.45, -1.56). Compared with heparin, the incidence of minor bleeding associated with tenecteplase was higher (RR = 3.27, 95% CI, 1.36, 7.39); compared with streptokinase, the incidence of minor bleeding associated with tenecteplase was higher (RR = 3.22, 95% CI, 1.01, 11.10).

conclusionFor patients with acute PE, four thrombolytic agents (alteplase, reteplase, streptokinase, and urokinase) appeared to be superior in efficacy compared with anticoagulants alone due to a reduction in mortality and no increase in bleeding risk. Alteplase may be a better choice because it not only reduced mortality but also reduced PE recurrence rate and treated PASP. Tenecteplase did not reduce mortality compared with anticoagulants alone and may not be a good choice of thrombolytic agent due to an increase in minor bleeding compared with streptokinase and anticoagulants alone. Thrombolytic drugs should be rationally selected to optimize the thrombolytic regimen and achieve as good a balance as possible between thrombolysis and bleeding.

Indexed as

Fibrinolytic AgentsPulmonary EmbolismAnticoagulantsHemorrhageHeparinHumansStreptokinaseTenecteplaseTissue Plasminogen ActivatorUrokinase-Type Plasminogen ActivatorAnticoagulantsFibrinolytic AgentsHeparinStreptokinaseTenecteplaseTissue Plasminogen ActivatorUrokinase-Type Plasminogen ActivatorAnticoagulantNetwork meta-analysisPulmonary embolismRandomized controlled trialsThrombolytic agents

Identifiers

PMID36603558
PMCPMC10015747
OpenAlexW4313537726

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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.