传统、补充和整合医学证据图谱：应对数据泛滥与噪音问题的一种方法。

Traditional, complementary, and integrative medicine evidence map: a methodology to an overflowing field of data and noise.

作者信息

Schveitzer Mariana Cabral, Abdala Carmen Verônica Mendes, Portella Caio Fabio Schlechta, Ghelman Ricardo

机构信息

Universidade Federal de São Paulo São Paulo Brazil Universidade Federal de São Paulo, São Paulo, Brazil.

PAHO/WHO Latin American and Caribbean Center on Health Sciences Information (BIREME) São Paulo Brazil PAHO/WHO Latin American and Caribbean Center on Health Sciences Information (BIREME), São Paulo, Brazil.

出版信息

Rev Panam Salud Publica. 2021 Apr 23;45:e48. doi: 10.26633/RPSP.2021.48. eCollection 2021.

DOI:10.26633/RPSP.2021.48

PMID:33907557

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8064289/

Abstract

Every day there is criticism about lack of evidence on traditional, complementary, and integrative medicine (TCIM). But is this narrative evidence-based? Are we really missing research about TCIM? Or are we just not looking correctly at the evidence? Evidence maps are a useful method with the dual function of synthesizing available evidence on a specific topic and identifying knowledge gaps. This article presents a six-step evidence map methodology along with recently published TCIM evidence maps, including one related to COVID-19. TCIM evidence maps are useful instruments to inform decision-making for policymakers, health practitioners, and patients.

摘要

每天都有人批评传统、补充和整合医学（TCIM）缺乏证据。但这种说法是基于证据的吗？我们真的缺少关于TCIM的研究吗？还是我们只是没有正确看待这些证据？证据图谱是一种有用的方法，具有综合特定主题现有证据和识别知识空白的双重功能。本文介绍了一种六步证据图谱方法，以及最近发表的TCIM证据图谱，包括一篇与COVID-19相关的图谱。TCIM证据图谱是为政策制定者、医疗从业者和患者的决策提供信息的有用工具。