ArticlePharmacoEconomics2026
Estimating the Healthcare Cost of Infection-Related Hospitalisations in Multiple Myeloma.
Article in PharmacoEconomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
aimThe purpose of this study was to estimate and predict the cost of infection-related hospitalisations and infection prevention using immunoglobulin replacement therapy (IgRT) in patients with multiple myeloma (MM), and to explore how patient factors, treatment and comorbidities influence healthcare costs, excluding patient and societal costs.
methodThis was a retrospective analysis of linked longitudinal data from the Victorian Admitted Episode Data, Victorian Cancer Registry, Victorian Death Index and Victorian Cost Data Collection. The cohort included patients with MM hospitalised for any cause between July 2016 and June 2022. A generalised linear model with gamma distribution and identity link was used to estimate the excess cost related to having an infection-related hospitalisations and comorbidities, controlling for age, sex, Charlson Comorbidity Index (CCI), time from diagnosis, anti-cancer treatment, chronic comorbidities, IgRT and death. Clustered standard errors were used to account for multiple observations per patient. Costs were adjusted to 2024 Australian dollars (AU $) using the Australian Bureau of Statistics medical/hospital services consumer price index. Estimated costs were used to predict total costs for different scenarios.
resultsThe study included 5857 patients with MM; 58.2% were male, 64.7% were aged over 65 years, and 57.9% had mild comorbidities (CCI of 1-2). The incidence of infection-related hospitalisations averaged 0.8 per patient-year. The mean in-hospital cost was highest in the month of diagnosis (AU $8107). The total excess in-hospital costs associated with an infection-related hospitalisations per patient in the index month and the 6 months after the infection were significantly different in patients with cardiovascular disease, chronic liver disease and chronic lung disease (AU $32,139, AU $30,600 and AU $22,006, respectively) compared with patients without these comorbidities (AU $25,285). The annual cost associated with continuous monthly administration of IgRT was AU $34,049 per patient, assuming 12 treatment episodes per year. On the basis of offsetting hospital costs (excluding potential impacts on minor infections, infection severity, mortality or quality of life), 1 year of continuous IgRT would need to prevent at least 1.2 infection-related hospitalisations per patient per year to offset its cost.
conclusionsIn patients with MM, infection-related hospitalisation and IgRT are associated with a substantial economic burden. The financial burden of treating infection-related hospitalisations differed in the presence of coexisting chronic comorbidities in patients with MM.
Identifiers
42745155What Socratic holds
Registered trials
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 Socratic graph.