Evidence map›Paper›PMID 39024541›Full record

ArticleBlood advances2024

Health care utilization and costs for frail vs nonfrail patients with diffuse large B-cell lymphoma.

Abi Vijenthira, Andrew Calzavara, Chenthila Nagamuthu, Yosuf Kaliwal, Ning Liu, Danielle Blunt, Shabbir Alibhai, Anca Prica, Matthew C Cheung, Lee Mozessohn

Abstract read
In one paragraph

Article in Blood advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Abi VijenthiraDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada.ORCID 0000-0001-5369-1501
Andrew CalzavaraCancer Research Program, ICES, Toronto, ON, Canada.
Chenthila NagamuthuCancer Research Program, ICES, Toronto, ON, Canada.
Yosuf KaliwalCancer Research Program, ICES, Toronto, ON, Canada.
Ning LiuCancer Research Program, ICES, Toronto, ON, Canada.ORCID 0000-0001-9215-475X
Danielle BluntDivision of Hematology, Royal Adelaide Hospital, Adelaide, SA, Australia.
Shabbir AlibhaiDepartment of Medicine, University of Toronto, Toronto, ON, Canada.
Anca PricaDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada.
Matthew C CheungDepartment of Medicine, University of Toronto, Toronto, ON, Canada.
Lee MozessohnDepartment of Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0000-0003-3436-3849

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractHalf of older patients with diffuse large B-cell lymphoma (DLBCL) receiving curative-intent treatment are frail. Understanding the differences in health care utilization including costs between frail and nonfrail patients can inform appropriate models of care. A retrospective cohort study was conducted using population-based data in Ontario, Canada. Patients aged ≥66 years with DLBCL who received frontline curative-intent chemoimmunotherapy between 2006 and 2017 were included. Frailty was defined using a cumulative deficit-based frailty index. Health care utilization and costs were grouped into 5 phases: (1) 90 days preceding first treatment; (2) early treatment (0 to +90 days after starting treatment); (3) late treatment (+91 to +180 days); (4) follow-up (+181 to -181 days before death); and (5) end of life (last 180 days before death). Costs were standardized to 30-day intervals (2019 Canadian dollars). A total of 5527 patients were included (median age, 75 years; 48% female). A total of 2699 patients (49%) were classified as frail. The median costs for frail vs nonfrail patients per 30 days based on phase of care were (1) $5683 vs $2586 ; (2) $13 090 vs $11 256; (3) $5734 vs $4883; (4) $1138 vs $686; and (5) $11 413 vs $9089; statistically significant in all phases. In multivariable modeling, frail patients had higher rates of emergency department visits and hospitalizations and increased costs than nonfrail patients through all phases except end-of-life phase. During end-of-life phase, a substantial portion of patients (n = 2569 [84%]) required admission to hospital; 684 (27%) required intensive care unit admission. Future work could assess whether certain hospitalizations are preventable, particularly for patients identified as frail.

Indexed as

Health Care CostsLymphoma, Large B-Cell, DiffusePatient Acceptance of Health CareAgedAged, 80 and overFemaleFrail ElderlyFrailtyHumansMaleOntarioRetrospective Studies

Identifiers

PMID39024541
PMCPMC11401182

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.