Evidence map›Paper›PMID 29069004›Full record

SynthesisMedicine2017

Selection and measurement of control antidepressants in clinical tests for Chinese: A systematic review.

Hao Liu, Zhi-Min Yang, Ying Geng, Huan Yang, De-Heng Zhao, Wei-Dong Xiao, Gao-Hua Wang

Abstract readSystematic Review
In one paragraph

Synthesis in Medicine, 2017. 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

7 authors.

Hao LiuDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan Center for Drug Evaluation, China Food and Drug Administration, Beijing, China.
Zhi-Min Yang
Ying Geng
Huan Yang
De-Heng Zhao
Wei-Dong Xiao
Gao-Hua Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe study aims to help domestic application units and research institutions improve their research quality of antidepressant clinical tests by studying and analyzing the current status and problems in selecting control drugs during domestic antidepressant clinical tests and illustrating some key problems that should be noted when selecting the control drug in such researches.

methodsConsidering the current domestic and overseas status of control drug selection in antidepressant clinical tests, various considerations, and misunderstandings on control drug selection in domestic antidepressant clinical tests were clarified and described, and possible factors that may influence the absolute effect of antidepressants were analyzed. Furthermore, problems that should be noted in selecting control drugs for the antidepressant clinical test, especially the placebo control, were stated.

resultsDuring the antidepressant clinical research, selecting placebo controls conform to moral philosophy and safety requirements. To verify the absolute effect of a test drug, a placebo control should be set or 3-arm tests should be conducted as far as possible. Possible factors that may affect the absolute effect of the test drug, including illness severity of the subject at baseline and research scale, should be given consideration.

conclusionsApplication units and research institutions should consider the selection of subjects, control the failure rate, strengthen safety risks, and control and intensify quality control to further improve the overall quality and research level of domestic antidepressant clinical tests.

Indexed as

Antidepressive AgentsClinical Trials as TopicData AccuracyPatient SelectionChinaDepressionDrug MonitoringHumansQuality ControlAntidepressive Agents

Identifiers

PMID29069004
PMCPMC5671837

What OpenQuestion holds

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Registered trials

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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.