Evidence map›Paper›PMID 35199965›Full record

ArticleJournal of evidence-based medicine2022

A methodological framework for tackling confounding by indication when assessing the treatment effects of Chinese herbal injections in the real world.

Jing Tan, Chunrong Liu, Mingxi Li, Hongcai Shang, Wen Wang, Ling Li, Yiquan Xiong, Shiyao Huang, Chaolong Rao, Xiaochao Luo and 4 more

Abstract read
In one paragraph

Article in Journal of evidence-based medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

14 authors.

Jing TanChinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Chunrong LiuChinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Mingxi LiChinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0002-7258-8849
Hongcai ShangKey Laboratory of Chinese Internal Medicine of MOE and Beijing, Beijing University of Chinese Medicine and Pharmacology, Beijing, China.
Wen WangChinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Ling LiChinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Yiquan XiongChinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Shiyao HuangChinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Chaolong RaoSchool of Public Health, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Xiaochao LuoAcupuncture and Tuina School, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yana QiChinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Jing WangChinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Kang ZouChinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Xin SunChinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0002-6554-7088

Funding

1·3·5 Project for Disciplines of Excellence, West China Hospital, Sichuan University ZYYC08003CHINA MEDICAL BOARD CMB19-324National Key R&D Program of China 2017YFC1700400National Key R&D Program of China 2017YFC1700406National Natural Science Foundation of China 71974138National Natural Science Foundation of China 72174132Sichuan Youth Science and Technology Innovation Research Team 2020JDTD0015
6 · The paper itself

Abstract

aimIn the context of integrative medicine, whether Chinese herbal injections are effective in routine practice has become a question of broad interest. However, confounding by indication (i.e., indication bias) is a prevalent and highly challenging methodological issue when using routinely collected health care data to assess the real-world effectiveness of Chinese herbal injections. METHODS AND

resultsWe proposed a methodological approach to tackling confounding by indication in assessing the real-world effectiveness of Chinese herbal injections, incorporating empirical experiences, a literature review and interactive discussions, and a panel of external experts to finally achieve a consensus. This approach consisted of three cohesive steps, including a full understanding of treatment patterns, construction of fair comparisons by identifying appropriate combination treatments and comparators, and using statistical methods to further control for confounding. In the investigation of treatment patterns, we proposed five domains to identify treatment patterns with Chinese herbal injections, and we offered five patterns of combination treatments to characterize how Chinese herbal injections are used in conjunction with other treatments. In constructing fair comparisons, we suggested the use of both nonuse and active comparators; given the diverse combination treatments, we developed six scenarios that may form fair comparisons. In the statistical analysis, we discussed five statistical models for controlling confounding by indication, including their pros and cons. We also included a practical example to illustrate the usefulness of the methodological approach.

conclusionThe proposed approach may serve as an effective tool to guide researchers to reliably assess the effectiveness of Chinese herbal injections in the context of integrative medicine.

Indexed as

Drugs, Chinese HerbalBiasChinaInjectionsResearch DesignDrugs, Chinese HerbalChinese herbal injectionindication biasreal-world settingtreatment effects

Identifiers

PMID35199965
PMCPMC9305735

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.