Evidence map›Paper›PMID 34634800›Full record

ArticleNucleic acids research2022

DDInter: an online drug-drug interaction database towards improving clinical decision-making and patient safety.

Guoli Xiong, Zhijiang Yang, Jiacai Yi, Ningning Wang, Lei Wang, Huimin Zhu, Chengkun Wu, Aiping Lu, Xiang Chen, Shao Liu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 4 pooled it
11.5field-weighted citation impact, top 1% of its field
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

50 citing papers in PubMed, 4 syntheses or guidelines pooled it, 122 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. [Chinese guideline for diagnosis and management of drug-induced liver injury (2023 version)].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2023
    Guideline
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  8. Observational
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  17. DDI-CYP: Metabolism ensemble models for drug-drug interaction predictions.Drug metabolism and disposition: the biological fate of chemicals · 2025
    Article
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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

12 authors at 4 institutions in 2 countries.

Guoli XiongDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha 410013, Hunan, China.
Zhijiang YangXiangya School of Pharmaceutical Sciences, Central South University, Changsha 410013, Hunan, China.
Jiacai YiCollege of Computer, National University of Defense Technology, Changsha 410073, Hunan, China.
Ningning WangDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha 410013, Hunan, China.
Lei WangXiangya School of Pharmaceutical Sciences, Central South University, Changsha 410013, Hunan, China.
Huimin ZhuXiangya School of Pharmaceutical Sciences, Central South University, Changsha 410013, Hunan, China.
Chengkun WuCollege of Computer, National University of Defense Technology, Changsha 410073, Hunan, China.
Aiping LuInstitute for Advancing Translational Medicine in Bone and Joint Diseases, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, China.
Xiang ChenDepartment of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China.
Shao LiuDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha 410013, Hunan, China.
Tingjun HouInnovation Institute for Artificial Intelligence in Medicine of Zhejiang University, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China.ORCID 0000-0001-7227-2580
Dongsheng CaoDepartment of Pharmacy, Xiangya Hospital, Central South University, Changsha 410013, Hunan, China.ORCID 0000-0003-3604-3785
Central South University · CNNational University of Defense Technology · CNHong Kong Baptist University · HKZhejiang Lab · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug-drug interaction (DDI) can trigger many adverse effects in patients and has emerged as a threat to medicine and public health. Despite the continuous information accumulation of clinically significant DDIs, there are few open-access knowledge systems dedicated to the curation of DDI associations. To facilitate the clinicians to screen for dangerous drug combinations and improve health systems, we present DDInter, a curated DDI database with comprehensive data, practical medication guidance, intuitive function interface, and powerful visualization to the scientific community. Currently, DDInter contains about 0.24M DDI associations connecting 1833 approved drugs (1972 entities). Each drug is annotated with basic chemical and pharmacological information and its interaction network. For DDI associations, abundant and professional annotations are provided, including severity, mechanism description, strategies for managing potential side effects, alternative medications, etc. The drug entities and interaction entities are efficiently cross-linked. In addition to basic query and browsing, the prescription checking function is developed to facilitate clinicians to decide whether drugs combinations can be used safely. It can also be used for informatics-based DDI investigation and evaluation of other prediction frameworks. We hope that DDInter will prove useful in improving clinical decision-making and patient safety. DDInter is freely available, without registration, at http://ddinter.scbdd.com/.

Indexed as

Databases, FactualSoftwareClinical Decision-MakingDrug InteractionsDrug-Related Side Effects and Adverse ReactionsHumansPatient Safety

Identifiers

PMID34634800
PMCPMC8728114
OpenAlexW3206046197

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.