Evidence map›Paper›PMID 31930068›Full record

ArticleAnnals of translational medicine2019

CMTTdb: the cancer molecular targeted therapy database.

Xue Bai, Xiaobo Yang, Liangcai Wu, Bangyou Zuo, Jianzhen Lin, Shanshan Wang, Jin Bian, Xinting Sang, Yungang He, Zhen Yang and 1 more

Abstract read
In one paragraph

Article in Annals of translational medicine, 2019. 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. MUSTARD-a comprehensive resource of mutation-specific therapies in cancer.Database : the journal of biological databases and curation · 2021
    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

11 authors.

Xue BaiDepartment of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing 100730, China.
Xiaobo YangDepartment of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing 100730, China.
Liangcai WuDepartment of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing 100730, China.
Bangyou ZuoDepartment of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing 100730, China.
Jianzhen LinDepartment of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing 100730, China.
Shanshan WangDepartment of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing 100730, China.
Jin BianDepartment of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing 100730, China.
Xinting SangDepartment of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing 100730, China.
Yungang HeInstitute of Biomedical Sciences, Fudan University, Shanghai 200032, China.
Zhen YangDepartment of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing 100730, China.
Haitao ZhaoDepartment of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College (CAMS & PUMC), Beijing 100730, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe cancer molecular targeted therapy has achieved unprecedented progress in the past decade and is thought to be the most promising direction for cancer treatment in future. As the fast growing of the clinical trials of targeted anticancer agents for different cancer types, it is critical to collect and integrate such information to guide clinical practice.

methodsWe constructed the Cancer Molecular Targeted Therapy database (CMTTdb) to store and retrieve molecular targeted therapy data about randomized clinical trials (RCTs) of targeted agents and also accompanied targets, biomarkers, targeted cancer subtypes, etc.

resultsDifferent with some existing resources, CMTTdb particularly focuses on clinical application of the trails. Design of the trails, such as treatment modalities (monotherapy or combination with other therapies), as well as results on clinical efficacy parameters, adverse events are also collected. In this current version, CMTTdb contains data for 1,088 clinical trials which cover 165 agents, 80 targets, 15 cancer types (95 molecular subtypes and 56 histological or cytological subtypes) from public literatures. This database is freely available at http://www.biosino.org/CMTTdb. A user-friendly web interface was designed so that these data can be easily retrieved.

conclusionsCMTTdb will be a valuable source for providing access to information of clinical trials on the rapidly growing number of novel targeted agent and be useful in guiding oncologists for the optimization of the therapy strategy for cancer treatment.

Indexed as

cancerclinical trialdatabaseMolecular-targeted therapy

Identifiers

PMID31930068
PMCPMC6944590

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.