Evidence map›Paper›PMID 32742032›Full record

ArticleBulletin of the World Health Organization2020

Sales of anti-cancer medicines; China, Indonesia, Kazakhstan, Malaysia, Philippines and Thailand.

Alessandra Ferrario, Peter Stephens, Xiaodong Guan, Dennis Ross-Degnan, Anita Wagner

Abstract readComparative Study
In one paragraph

Article in Bulletin of the World Health Organization, 2020. 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
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Procurement of medicines to treat cancer, 2015-2020, China.Bulletin of the World Health Organization · 2022
    Article
  5. Article
  6. Article
  7. 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

5 authors.

Alessandra FerrarioHarvard Medical School and Harvard Pilgrim Healthcare Institute, 401 Park Drive, Suite 401 East, Boston, MA 02215 United States of America.
Peter StephensIQVIA, London, England.
Xiaodong GuanSchool of Pharmaceutical Sciences, Peking University, Beijing, China.
Dennis Ross-DegnanHarvard Medical School and Harvard Pilgrim Healthcare Institute, 401 Park Drive, Suite 401 East, Boston, MA 02215 United States of America.
Anita WagnerHarvard Medical School and Harvard Pilgrim Healthcare Institute, 401 Park Drive, Suite 401 East, Boston, MA 02215 United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess sales of anti-cancer medicines in the 2017 World Health Organization's

methodsWe extracted sales volume data for 39 anti-cancer medicines from the IQVIA database. We divided the total quantity sold by the reference defined daily dose to estimate the total number of defined daily doses sold, per country per year, for three types of anti-cancer therapies (traditional chemotherapy, targeted therapy and endocrine therapy). We adjusted these data by the number of new cancer cases in each country for each year.

findingsWe observed an increase in sales across all types of anti-cancer therapies in all countries. The largest number of defined daily doses of traditional chemotherapy per new cancer case was sold in Thailand; however, the largest relative increase per new cancer case occurred in Indonesia (9.48-fold). The largest absolute and relative increases in sales of defined daily doses of targeted therapies per new cancer case occurred in Kazakhstan. Malaysia sold the largest number of adjusted defined daily doses of endocrine therapies in 2017, while China and Indonesia more than doubled their adjusted sales volumes between 2007 and 2017.

conclusionThe use of sales data can fill an important knowledge gap in the use of anti-cancer medicines, particularly during periods of insurance coverage expansion. Combined with other data, sales volume data can help to monitor efforts to improve equitable access to essential medicines.

Indexed as

Antineoplastic AgentsChinaCommerceDatabases, FactualDrug UtilizationHumansIndonesiaKazakhstanMalaysiaNeoplasmsPhilippinesThailandAntineoplastic Agents

Identifiers

PMID32742032
PMCPMC7375213

What OpenQuestion holds

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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.