Evidence map›Paper›PMID 39107537›Full record

ArticlePharmacoEconomics - open2024

Estimation of the Clinical, Economic, and Social Burden of Stage IV Non-Small Cell Lung Cancer in Mexico.

Denisse Añorve Bailon, Javier Picó-Guzmán, Sergio Cifuentes, Rogelio Trejo, Jeronimo Rodríguez Cid, Juan Jose Juarez-Vignon Whaley, Alan Alexis Heredia Zepeda, Raquel Gerson, Christian Patricio Camacho-Limas, José Fabián Martínez-Herrera and 3 more

Abstract read
In one paragraph

Article in PharmacoEconomics - open, 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

13 authors.

Denisse Añorve BailonISSSTE, Centro Médico Nacional "20 de Noviembre", Ciudad de México, CDMX, México.ORCID https://orcid.org/0000-0002-2019-9219
Javier Picó-GuzmánLifeSciences Consultants, Ciudad de México, Mexico. jpico@consultingls.com.ORCID http://orcid.org/0000-0003-1555-0841
Sergio CifuentesISSSTE, Centro Médico Nacional "20 de Noviembre", Ciudad de México, CDMX, México.
Rogelio TrejoIMSS, Centro Médico Nacional Siglo XXI, Ciudad de México, México.
Jeronimo Rodríguez CidInstituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Ciudad de México, México.ORCID https://orcid.org/0000-0001-8518-9065
Juan Jose Juarez-Vignon WhaleyInstituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Ciudad de México, México.ORCID https://orcid.org/0000-0001-5570-2147
Alan Alexis Heredia ZepedaLifeSciences Consultants, Ciudad de México, México.
Raquel GersonCentro Médico ABC, Ciudad de México, México.
Christian Patricio Camacho-LimasCentro Médico ABC, Ciudad de México, México.
José Fabián Martínez-HerreraCentro Médico ABC, Ciudad de México, México.ORCID https://orcid.org/0000-0001-9894-2204
Diana Bonilla MolinaCentro Médico ABC, Ciudad de México, México.ORCID https://orcid.org/0000-0002-0435-3247
Efraín Camarín SánchezCentro Médico ABC, Ciudad de México, México.ORCID https://orcid.org/0000-0002-6672-5018
Daniela Shveid GersonCentro Médico ABC, Ciudad de México, México.ORCID https://orcid.org/0000-0002-9501-3060

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLung cancer continues to be the leading cause of death among cancer patients worldwide. This study aimed to estimate the clinical, economic, and social burdens of stage IV non-small cell lung cancer (NSCLC) in private and public healthcare centers in Mexico, utilizing real-world evidence.

methodsThe study population included patients >18 years of age diagnosed with stage IV NSCLC who received cancer treatment at the Centro Médico Nacional Siglo XXI (IMSS), the Centro Médico Nacional "20 de Noviembre" (ISSSTE), the Mexican Institute of Respiratory Diseases (INER), and the Medical Center ABC (American British Cowdray) from 1 January 2019 to 31 December 2020. The analysis included evaluation of epidemiological data, treatment regimens, and clinical outcomes, and emphasized pharmacological and non-pharmacological treatments, including detailed follow-up investigations, as part of comprehensive clinical management. Additionally, the study assessed the social burden through variables such as working-age absenteeism and presenteeism and caregiver productivity loss, as well as economic burden, considering both clinical and social components, with costs adjusted to 2022 Mexican pesos (MXN) values.

resultsA total of 188 patients with metastatic NSCLC were studied. The main type of NSCLC tumor found in the sample was adenocarcinoma (81%). Treatment regimens included pharmacological treatments (78%), non-pharmacological treatments (25%), and palliative care (24%). Complications were present in 73% of the cohort, while 60% presented adverse events. Clinical management costs of up to MXN1,001,579 per patient in the public sector and MXN2,140,604 in the private sector were reported. It was estimated that working-age patients lose 84-335 days yearly due to absenteeism and presenteeism, while caregivers report a productivity loss equivalent to 13-30 days due to the management of NSCLC patients. These indirect costs of NSCLC contribute to the social burden. A working-age patient with stage IV disease is associated with an average indirect cost of MXN49,731-178,287 in public institutions, while in private institutions, the cost elevates to MXN438,103.

conclusionsThis study highlights the substantial clinical, economic, and social burdens of stage IV NSCLC in Mexico, revealing significant disparities between public and private healthcare sectors. It underscores the urgent need for standardized practices and equitable care across all systems.

Identifiers

PMID39107537
PMCPMC11499576

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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.