Evidence map›Paper›PMID 28110283›Full record

ArticleBMJ open2017

Estimated generic prices of cancer medicines deemed cost-ineffective in England: a cost estimation analysis.

Andrew Hill, Christopher Redd, Dzintars Gotham, Isabelle Erbacher, Jonathan Meldrum, Ryo Harada

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
27.7field-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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

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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

6 authors at 5 institutions in 1 country.

Andrew HillDepartment of Pharmacology and Therapeutics, University of Liverpool, Liverpool, UK.
Christopher ReddPeninsula College of Medicine and Dentistry, Peninsula Medical School, Universities of Exeter and Plymouth, Plymouth, UK.
Dzintars GothamFaculty of Medicine, Imperial College London, London, UK.
Isabelle ErbacherFaculty of Medicine, Imperial College London, London, UK.
Jonathan MeldrumFaculty of Medical Sciences, University College London, London, UK.
Ryo HaradaDepartment of Economics, University of Cambridge, Cambridge, UK.
Imperial College London · GBPeninsula College of Medicine and Dentistry · GBUniversity College London · GBUniversity of Cambridge · GBUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to estimate lowest possible treatment costs for four novel cancer drugs, hypothesising that generic manufacturing could significantly reduce treatment costs.

settingThis research was carried out in a non-clinical research setting using secondary data.

participantsThere were no human participants in the study. Four drugs were selected for the study: bortezomib, dasatinib, everolimus and gefitinib. These medications were selected according to their clinical importance, novel pharmaceutical actions and the availability of generic price data. PRIMARY AND SECONDARY OUTCOME MEASURES: Target costs for treatment were to be generated for each indication for each treatment. The primary outcome measure was the target cost according to a production cost calculation algorithm. The secondary outcome measure was the target cost as the lowest available generic price; this was necessary where export data were not available to generate an estimate from our cost calculation algorithm. Other outcomes included patent expiry dates and total eligible treatment populations.

resultsTarget prices were £411 per cycle for bortezomib, £9 per month for dasatinib, £852 per month for everolimus and £10 per month for gefitinib. Compared with current list prices in England, these target prices would represent reductions of 74-99.6%. Patent expiry dates were bortezomib 2014-22, dasatinib 2020-26, everolimus 2019-25 and gefitinib 2017. The total global eligible treatment population in 1 year is 769 736.

conclusionsOur findings demonstrate that affordable drug treatment costs are possible for novel cancer drugs, suggesting that new therapeutic options can be made available to patients and doctors worldwide. Assessing treatment cost estimations alongside cost-effectiveness evaluations is an important area of future research.

Indexed as

CommerceCost-Benefit AnalysisDrug CostsAlgorithmsAntineoplastic AgentsBortezomibDasatinibDrugs, GenericEnglandEverolimusGefitinibHumansNeoplasmsQuinazolinesAntineoplastic AgentsBortezomibDasatinibDrugs, GenericEverolimusGefitinibQuinazolinesCLINICAL PHARMACOLOGYHEALTH ECONOMICSONCOLOGYPUBLIC HEALTHTHERAPEUTICS

Identifiers

PMID28110283
PMCPMC5253524
OpenAlexW2575461735

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.