Evidence map›Paper›PMID 35454828›Full record

ArticleCancers2022

Healthcare Resource Utilization among Patients between 60-75 Years with Secondary Acute Myeloid Leukemia Receiving Intensive Chemotherapy Induction: A Spanish Retrospective Observational Study.

Antonio Solana-Altabella, Juan Eduardo Megías-Vericat, Octavio Ballesta-López, Blanca Boluda, Isabel Cano, Evelyn Acuña-Cruz, Rebeca Rodríguez-Veiga, Laura Torres-Miñana, Claudia Sargas, Miguel Á Sanz and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 35% of its field
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 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
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

16 authors at 2 institutions in 1 country.

Antonio Solana-AltabellaPharmacy Department, Hospital Universitari i Politècnic La Fe, 46026 Valencia, Spain.ORCID 0000-0002-8804-3878
Juan Eduardo Megías-VericatPharmacy Department, Hospital Universitari i Politècnic La Fe, 46026 Valencia, Spain.ORCID 0000-0002-0369-5341
Octavio Ballesta-LópezPharmacy Department, Hospital Universitari i Politècnic La Fe, 46026 Valencia, Spain.ORCID 0000-0002-5444-5836
Blanca BoludaHematology and Hemotherapy, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain.ORCID 0000-0002-1785-5561
Isabel CanoHematology and Hemotherapy, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain.
Evelyn Acuña-CruzHematology and Hemotherapy, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain.
Rebeca Rodríguez-VeigaHematology and Hemotherapy, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain.
Laura Torres-MiñanaHematology and Hemotherapy, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain.
Claudia SargasHematology and Hemotherapy, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain.
Miguel Á SanzHematology and Hemotherapy, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain.ORCID 0000-0003-1489-1177
Carmela Borrell-GarcíaPharmacy Department, Hospital Universitari i Politècnic La Fe, 46026 Valencia, Spain.
Eduardo López-BrizPharmacy Department, Hospital Universitari i Politècnic La Fe, 46026 Valencia, Spain.
José Luis Poveda-AndrésPharmacy Department, Hospital Universitari i Politècnic La Fe, 46026 Valencia, Spain.ORCID 0000-0003-1800-6198
Javier De la RubiaHematology and Hemotherapy, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain.ORCID 0000-0002-8354-768X
Pau MontesinosHematology and Hemotherapy, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain.
David Martínez-CuadrónHematology and Hemotherapy, Instituto de Investigación Sanitaria La Fe, 46026 Valencia, Spain.ORCID 0000-0001-7540-4091
Hospital Universitari i Politècnic La Fe · ESUniversitat de València · ES

Funding

Instituto de Investigación Sanitaria La Fe 2019-052-1Jazz Pharmaceuticals (Ireland)
6 · The paper itself

Abstract

backgroundInformation regarding the impact on healthcare systems of secondary acute myeloid leukemia (sAML) is scarce.

methodsA retrospective review of medical charts identified patients aged 60-75 years with sAML between 2010 and 2019. Patient information was collected from diagnosis to death or last follow-up. Outpatient resource use, reimbursement, frequency and duration of hospitalization, and transfusion burden were assessed. Forty-six patients with a median age of 64 years were included. Anthracycline plus cytarabine regimens were the most common induction treatment (39 patients, 85%). The ratio of the total days hospitalized between the total follow-up was 29%, with a sum of 204 hospitalizations (average four/patient; average duration 21 days). The total average reimbursement was EUR 90,008 per patient, with the majority (EUR 77,827) related to hospital admissions (EUR 17,403/hospitalization). Most hospitalizations (163, mean 22 days) occurred in the period before the first allogeneic hematopoietic stem cell transplant (alloHSCT), costing EUR 59,698 per patient and EUR 15,857 per hospitalization. The period after alloHSCT (in only 10 patients) had 41 hospitalizations (mean 21 days), and a mean reimbursement cost of EUR 99,542 per patient and EUR 24,278 per hospitalization. In conclusion, there is a high consumption of economic and healthcare resources in elderly patients with sAML receiving active treatments in Spain.

Indexed as

health care costshospitalizationreimbursementsecondary acute myeloid leukemia

Identifiers

PMID35454828
PMCPMC9032151
OpenAlexW4223618723

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.