Evidence map›Paper›PMID 30273393›Full record

ArticlePloS one2018

Use of data-mining to support real-world cost analyses: An example using HER2-positive breast cancer in Iran.

Amir Ansaripour, Kazem Zendehdel, Niki Tadayon, Fatemeh Sadeghi, Carin A Uyl-de Groot, W Ken Redekop

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Review
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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.

Amir AnsaripourErasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0002-9298-6393
Kazem ZendehdelCancer Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran.
Niki TadayonDepartment of General and Vascular Surgery, Shohadaye Tajrish Medical Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Fatemeh SadeghiCancer Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran.
Carin A Uyl-de GrootErasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
W Ken RedekopErasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPatient registries play an important role in obtaining real-world evidence of the cost-effectiveness of treatments. However, their implementation is costly and sometimes infeasible in many middle-income countries (MICs). We explored the combination of data-mining and a large claims database to estimate the direct healthcare costs of HER2-positive breast cancer (BC) treatment in Iran and the fraction of total costs from trastuzumab use.

methodWe performed a retrospective analysis of claims data from the Iran Social Security Organization, a health insurer which covers approximately 50%(~40 million) of the Iranian population, in the period of 21/03/2011-20/03/2014. A data-mining algorithm using R software and validated using patient dossiers in the Cancer Research Center identified 1295 patients and divided them into the three main HER2-positive breast cancer stages (early, loco-regional and advanced). A payer perspective was used to calculate the absolute and relative direct costs of healthcare services associated with the treatment of HER2-positive breast cancer in the public and private healthcare systems.

resultsThe number of women totaled 802 (early), 125 (loco-regional) and 218 (advanced). The mean age[SD] was 45[10], 46[10] and 48[10] years, respectively, while mean follow-up in all stages was approximately one year. Average costs of direct healthcare care in early, loco-regional and advanced stages were €11,796 (95%CI: €9,356-€12,498), €8,253 (95%CI: €6,843-€10,002), and €17,742 (95%CI: €15,720-€19,505), respectively. Trastuzumab accounted for the largest share of total costs in all three stages (range: 53-76%).

conclusionWherever comprehensive patient registries are infeasible or costly, real-world costs can be estimated through claims databases and data-mining strategies. Using this method, real-world costs have been estimated in Iran. The stage-specific cost estimates derived from this study can be used to perform real-world cost-effectiveness analyses of therapies for HER2-positive BC and support healthcare financing decisions.

Indexed as

Health Care CostsAdultAgedAlgorithmsAntineoplastic Agents, ImmunologicalBiomarkers, TumorBreast NeoplasmsCost-Benefit AnalysisDatabases, FactualData MiningErb-b2 Receptor Tyrosine KinasesFemaleFollow-Up StudiesHumansInsurance, HealthIranAntineoplastic Agents, ImmunologicalBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesTrastuzumab

Identifiers

PMID30273393
PMCPMC6166984

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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.