Evidence map›Paper›PMID 19756775›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2010

An onco-informatics database for anticancer drug interactions with complementary and alternative medicines used in cancer treatment and supportive care: an overview of the OncoRx project.

Kevin Yi-Lwern Yap, En Yi Kuo, Jonathan Jun Jie Lee, Wai Keung Chui, Alexandre Chan

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
14.0field-weighted citation impact, top 2% 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

8 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Oncologists' experiences of discussing complementary and alternative treatment options with their cancer patients. A qualitative analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2016
    Article
  6. Article
  7. Informatics confronts drug-drug interactions.Trends in pharmacological sciences · 2013
    Review
  8. Review
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 at 1 institution in 1 country.

Kevin Yi-Lwern YapDepartment of Pharmacy, Faculty of Science, National University of Singapore, Singapore.
En Yi Kuo
Jonathan Jun Jie Lee
Wai Keung Chui
Alexandre Chan
National University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCancer patients are at high risk of manifesting interactions from use of anticancer drugs (ACDs) and complementary and alternative medicines (CAMs). These interactions can result in sub-therapeutic effects or increased toxicities which may compromise the outcome of chemotherapy. It is important for practitioners to gain convenient access to ACD-CAM interaction information so as to make better-informed decisions in daily practice. This paper describes the creation of an oncology database (OncoRx) that documents ACD-CAM interactions, including traditional Chinese medicines (TCMs) that are commonly used for cancer treatment, prevention, and supportive care therapy.

methodsInformation regarding ACDs, CAMs, and drug interactions were collated from 14 sources, inclusive of hardcopy and online resources, and input into a modified web server with a database engine and a programming interface using a combination of software and programming scripts.

resultsOncoRx currently contains a total of 117 ACDs and 166 CAMs. Users are able to search for interactions based on various CAM uses: cancer treatment or prevention, immune-system-related, alopecia, nausea, and vomiting, peripheral neuropathy and pain, inflammation, fatigue, and non-cancer related. Pharmacokinetic data on ACDs and CAMs, characteristics of CAMs based on TCM principles, and drug interaction parameters such as effects, mechanisms, evidences, and proposed management plans, are shown in the search results.

conclusionOncoRx is an oncology database which detects ACD interactions. It is currently able to detect interactions with CAMs. It is hoped that OncoRx will serve as a useful resource to clinicians, educators, trainers, and students working in the oncology setting.

Indexed as

Complementary TherapiesDatabases, FactualHerb-Drug InteractionsAlopeciaAntineoplastic AgentsCombined Modality TherapyData DisplayFatigue Syndrome, ChronicHumansImmune System DiseasesInflammationInternetMedicine, Chinese TraditionalNauseaNeoplasmsPainAntineoplastic Agents

Identifiers

PMID19756775
OpenAlexW2138585677

What OpenQuestion holds

Textmetadata
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.