Evidence map›Paper›PMID 38958842›Full record

ArticleAdvances in therapy2024

Cost Offset of Dapagliflozin in the US Medicare Population with Cardio-Kidney Metabolic Syndrome.

Raymond C Chang, Ryan L Miller, Katherine W Kwon, Joanna C Huang

Abstract read
In one paragraph

Article in Advances in therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

4 authors.

Raymond C ChangUS Medical, Biopharmaceuticals, AstraZeneca, Wilmington, DE, USA. raymond.chang@astrazeneca.com.
Ryan L MillerHealth Economics and Outcomes Research Ltd., Cardiff, UK.
Katherine W KwonLake Michigan Nephrology, St. Joseph, MI, USA.
Joanna C HuangUS Medical, Biopharmaceuticals, AstraZeneca, Wilmington, DE, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCardiovascular-kidney-metabolic (CKM) syndrome is highly prevalent in the US Medicare population and is projected to increase further. Sodium-glucose co-transporter 2 inhibitors have indications in chronic kidney disease (CKD), heart failure (HF), and type 2 diabetes (T2D), providing protective efficacy across conditions within CKM syndrome. The objective of this study was to develop a model to extrapolate key outcomes observed in pivotal clinical trials to the US Medicare population, and to assess the potential direct cost offsets associated with dapagliflozin therapy.

methodsAll US 2022 Medicare beneficiaries (≥ 65 years of age) eligible to receive dapagliflozin were estimated according to drug label indication and Medicare enrollment and claims data. Incidence of key outcomes from the dapagliflozin clinical program were modelled over a 4-year time horizon based on patient-level data with CKD, HF, and T2D. Published cost data of relevant clinical outcomes were used to calculate direct medical care cost-offset associated with treatment with dapagliflozin.

resultsIn a population of 13.1 million patients with CKM syndrome, treatment with dapagliflozin in addition to historical standard of care (hSoC) versus hSoC alone led to fewer incidents of HF-related events (hospitalization for HF, 613,545; urgent HF visit, 98,896), renal events (kidney failure, 285,041; ≥ 50% sustained decline in kidney function, 375,137), and 450,355 fewer deaths (of which 225,346 and 13,206 incidences of cardiovascular and renal death were avoided). In total this led to medical care cost offsets of $99.3 billion versus treatment with hSoC only (dapagliflozin plus hSoC, $310.3 billion; hSoC, $211.0 billion).

conclusionBy extrapolating data from trials across multiple indications within CKM syndrome, this broader perspective shows that considerable medical care cost offsets may result through attenuated incidence of clinical events in CKD, T2D, and HF populations if treated with dapagliflozin in addition to hSoC over a 4-year time horizon. Graphical abstract available for this article.

Indexed as

Benzhydryl CompoundsGlucosidesMedicareMetabolic SyndromeSodium-Glucose Transporter 2 InhibitorsAgedAged, 80 and overCardio-Renal SyndromeDiabetes Mellitus, Type 2FemaleHumansMaleRenal Insufficiency, ChronicUnited StatesBenzhydryl CompoundsdapagliflozinGlucosidesSodium-Glucose Transporter 2 InhibitorsCardiovascular-kidney-metabolic syndromeChronic kidney diseaseDapagliflozinHeart failureSodium-glucose co-transporter 2 inhibitorsType 2 diabetes

Identifiers

PMID38958842
PMCPMC11263419

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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.