ReviewTherapeutics and clinical risk management2022
A Health Technology Assessment Based on Chinese Guidelines: Glucagon-Like Peptide-1 Receptor Agonist in the Treatment of Type 2 Diabetes Complicated with Cardiovascular Disease.
Review in Therapeutics and clinical risk management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- A Clinical Comprehensive Evaluation of Long-Acting GLP-1 Receptor Agonists in Type 2 Diabetes Management.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Article
- Health Technology Assessment: Evaluation of 7 Glucagon-Like Peptide-1 Receptor Agonists for the Treatment of Type 2 Diabetes Mellitus.Risk management and healthcare policy · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: According to the requirements of the "Quick Guide for Drug Evaluation and Selection in Chinese Medical Institutions", this health technology assessment provides an evidence-based basis for drug selection and rational clinical use of glucagon-like peptide-1 receptor agonist drugs in medical institutions. Methods: We consult the drug instructions, clinical treatment guidelines and search relevant documents in databases such as China national knowledge infrastructure, Wanfang, PubMed, and government websites such as National Medical Products Administration, Food and Drug Administration, European Medicines Agency, and Pharmaceuticals and Medical Devices Agency to collect and sort out the relevant information of the indications, pharmacological effects, guideline recommendations, drug prices and other information of glucagon-like peptide-1 receptor agonists, using a percentile system systematically evaluate the five dimensions of glucagon-like peptide-1 receptor agonists in terms of pharmaceutical properties, efficacy, safety, economy, and other attributes. Results: The final scores of the evaluation results from high to low are semaglutide (71.00 points), dulaglutide (68.75 points), liraglutide (67.50 points), exenatide (67.00 points), lixisenatide (63.50 points), polyethylene glycol loxenatide (58.00 points) and benaglutide (49.00 points). Conclusion: In clinical practice, semaglutide and dulaglutide are the top two drugs that can be used as recommended drugs. This health technology assessment can provide an evidence-based basis for hospital selection and rational use of glucagon-like peptide-1 receptor agonists. Clinicians can rationally choose and use drugs according to the patient's conditions and needs.
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What OpenQuestion holds
Registered trials
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.