Evidence map›Paper›PMID 42381164›Full record

ArticleJournal of evidence-based medicine2026

Development and Preliminary Validation of the Chinese Medicine Interventional Clinical Trials Research Question Importance Tool (CMICT-RQIT).

Ting Cheng, Dongdong Yu, Xingying Qiu, Geng Li, Zehuai Wen

Abstract readValidation Study
In one paragraph

Article in Journal of evidence-based medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Ting ChengSecond Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Dongdong YuSecond Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Xingying QiuSecond Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Geng LiGuangdong Provincial Hospital of Chinese Medicine (Second Affiliated Hospital of Guangzhou University of Chinese Medicine), Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, China.
Zehuai WenGuangdong Provincial Hospital of Chinese Medicine (Second Affiliated Hospital of Guangzhou University of Chinese Medicine), Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, China.

Funding

National Demonstration Zone for Comprehensive Reform of Traditional Chinese Medicine GZY-KJS-GD-2025-007State Key Laboratory of Traditional Chinese Medicine Syndrome QZ2025ZZ43State Key Laboratory of Traditional Chinese Medicine Syndrome SKLKY2026C0007
6 · The paper itself

Abstract

objectiveEvidence-based medicine emphasizes clinical research driven by important questions, yet Chinese medicine lacks practical quantitative tools to identify such questions. We developed the Chinese Medicine Interventional Clinical Trials Research Question Importance Tool (CMICT-RQIT) to support topic selection and provide transparent criteria for proposal review, promoting high-quality clinical research in Chinese medicine.

methodsThis study followed internationally accepted procedures of conceptualization and operationalization. Using a mixed-methods approach-including a literature review, qualitative interviews, Delphi surveys, expert consensus meetings, and the analytic hierarchy process-we developed the CMICT-RQIT. CMICT-RQIT was prespecified and interpreted as a formative/composite multicriteria decision-support tool.

resultsFollowing a standardized development process comprising three stages-framework construction, tool development, and tool evaluation-the CMICT-RQIT V1.0 was established. It consists of four domains, 10 facets, and 24 items, each with corresponding composite weights, item explanations, scoring criteria, and an operations manual. Exploratory traditional psychometric analyses showed limited internal consistency and poor structural fit, consistent with the formative/composite nature of the tool and should not be interpreted as evidence that all items measure a single latent trait.

conclusionsCMICT-RQIT V1.0 can assist researchers in selecting research topics, with its greatest value lying in providing a concise summary of the importance of research question along with a comprehensive 24-item checklist for clinical investigators. At the same time, it offers reviewers transparent criteria for assessing the importance of research questions, thereby promoting the objectivity and fairness of evaluations. CMICT-RQIT V1.0 should be used primarily as a structured checklist and decision-support index.

Indexed as

Clinical Trials as TopicEvidence-Based MedicineMedicine, Chinese TraditionalResearch DesignDelphi TechniqueHumansassessment toolChinese medicinedecision‐makinginterventional researchresearch question importance

Identifiers

PMID42381164
PMCPMC13320113

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.