Evidence map›Paper›PMID 32570385›Full record

ReviewStudies in health technology and informatics2020

How Have Experimental Cancer Interventions Evolved over Time?

Ziran Li, Huanyao Chen, Chi Yuan, Chunhua Weng

Open access · hybridAbstract readReview
In one paragraph

Review in Studies in health technology and informatics, 2020. 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
0.5field-weighted citation impact, top 34% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

Ziran LiDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Huanyao ChenDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Chi YuanDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Chunhua WengDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Columbia University · US

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Bridging the Semantic Gap Between Research Eligibility Criteria and Clinical DataR01LM009886 · NLM · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI WENG, CHUNHUA · 2009 to 2020
$5.3M
NCATS NIH HHS UL1 TR001873NLM NIH HHS R01 LM009886
6 · The paper itself

Abstract

We performed a trends analysis of experimental cancer interventions. The complete records of 32,623 interventional neoplasm clinical trials involving 454 types of neoplasms from 2000 to 2017 were downloaded from the AACT database. The conditions and drug concepts were normalized using MetaMap. The normalized frequencies (NF) for each type of intervention were calculated and compared. Among 95,440 interventions, 77.4% were drugs, 5.3% were radiation, 6.6% were surgery and 10.6% were other therapies. Among 47,754 arms, 82.8% were mono-type interventions and 17.2% were multi-type interventions. Among 73,889 drug interventions, immunologic factor drugs increased rapidly over the last five years. Both breast cancer and pancreatic cancer have been testing new drugs in clinical trials; however, more drugs have been tested in phase 3 or 4 trials and employed in comparator arms for breast cancer compared to pancreatic cancer. Breast cancer trials showed a more even drug NF distribution than pancreatic cancer trials. The JS Distance among three periods (2000-05 vs. 2006-11 vs. 2012-17) showed unidirectional research progress trend for breast cancer, but reverse trend for pancreatic cancer. This study contributes a large-scale landscape overview of the trends in cancer experimental interventions and a methodology for using public clinical trial summaries for understanding the evolving cancer research.

Indexed as

Clinical Trials as TopicAntineoplastic AgentsDatabases, FactualHumansNeoplasmsAntineoplastic AgentsClinical TrialsData ScienceTrend Analysis

Identifiers

PMID32570385
PMCPMC7390463
OpenAlexW3036713937

What OpenQuestion holds

Textmetadata
LicenceTDM
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.