Evidence map›Paper›PMID 36028607›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2023

Trends and drivers of pharmaceutical expenditures from systemic anti-cancer therapy.

Lars Børty, Rasmus F Brøndum, Heidi S Christensen, Charles Vesteghem, Marianne Severinsen, Søren P Johnsen, Lars H Ehlers, Ursula Falkmer, Laurids Ø Poulsen, Martin Bøgsted

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Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2023. 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
–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

0 citing papers in PubMed.

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

10 authors.

Lars BørtyDepartment of Haematology, Aalborg University Hospital, Sdr. Skovvej 15, 9000, Aalborg, Denmark. l.boerty@rn.dk.ORCID http://orcid.org/0000-0002-3715-8528
Rasmus F BrøndumDepartment of Haematology, Aalborg University Hospital, Sdr. Skovvej 15, 9000, Aalborg, Denmark.ORCID http://orcid.org/0000-0001-5537-6767
Heidi S ChristensenDepartment of Haematology, Aalborg University Hospital, Sdr. Skovvej 15, 9000, Aalborg, Denmark.ORCID http://orcid.org/0000-0003-3028-5062
Charles VesteghemDepartment of Haematology, Aalborg University Hospital, Sdr. Skovvej 15, 9000, Aalborg, Denmark.ORCID http://orcid.org/0000-0003-2301-9081
Marianne SeverinsenDepartment of Haematology, Aalborg University Hospital, Sdr. Skovvej 15, 9000, Aalborg, Denmark.ORCID http://orcid.org/0000-0003-0996-1812
Søren P JohnsenDanish Centre for Clinical Health Services Research, Aalborg University, Aalborg, Denmark.ORCID http://orcid.org/0000-0002-2787-0271
Lars H EhlersDepartment of Clinical Medicine, Aalborg University, Aalborg, Denmark.ORCID http://orcid.org/0000-0001-6512-5566
Ursula FalkmerDepartment of Oncology, Aalborg University Hospital, Aalborg, Denmark.ORCID http://orcid.org/0000-0002-9245-7678
Laurids Ø PoulsenDepartment of Oncology, Aalborg University Hospital, Aalborg, Denmark.ORCID http://orcid.org/0000-0002-0466-976X
Martin BøgstedDepartment of Haematology, Aalborg University Hospital, Sdr. Skovvej 15, 9000, Aalborg, Denmark.ORCID http://orcid.org/0000-0001-9192-1814

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Expenditures on medicine for systemic anti-cancer therapy (SACT) have seen large increases in recent years. The characterization of patients with high SACT costs is crucial to identify cost-driving factors, but little is known about the distribution of expenditures at the patient-level. We priced 260,834 registrations of SACT for 12,589 patients from 2008 to 2019 by combining them with product-level billings of EUR 142.1 million. Based on this, we defined high-cost patients as the 2.5% most expensive by accumulated SACT expenditures. We found that high-cost patients accounted for 28.8% of the total SACT expenditures and were observed across all major cancer groups except for pancreatic cancer. The risk of becoming a high-cost patient was increased for younger age groups, i.e., 18-44 and 45-64 years, for patients with BMI ≥ 25, and for patients with multiple cancer diagnoses, while no alteration of risk was observed due to comorbidities or sex. Changes in the characteristics of high-cost patients during the study period were found with an increased risk of becoming high-cost in later years for elderly patients and patients with lung cancer and a decreased risk for breast cancer patients.

Indexed as

Breast NeoplasmsLung NeoplasmsAgedComorbidityFemaleHealth ExpendituresHumansPharmaceutical PreparationsPharmaceutical PreparationsExpensive patientsHigh-cost patientsHigh utilizersMedicine expendituresOncologySystemic anti-cancer therapy

Identifiers

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Registered trials

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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.