ArticleJournal of community hospital internal medicine perspectives2024
Determinants of Mortality Among US Patients Diagnosed With Malignant Pleural Mesothelioma Over the Past Decade.
Article in Journal of community hospital internal medicine perspectives, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
24 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Malignant Pleural Mesothelioma (MPM) is a primary pleural tumor with scarce prognostic data estimates given its rarity. This study aims to explore the epidemiologic and survival predictors amongst patients with MPM, extending from the largest and most recent study conducted between 1973 and 2009. Methods: 3384 patients diagnosed with MPM between 2010 and 2017 were enrolled from the Surveillance, Epidemiology, and End Results (SEER) database. Demographics, clinical characteristics, overall mortality (OM), and cancer-specific mortality (CSM) estimates were analyzed. Multivariate Cox model was used to identify independent prognostic factors, where a hazard ratio (HR) greater than 1 denotes adverse prognostic factors. Results: Our cohort revealed a male predominance (77.16%), with over 80% diagnosed after age 59, peaking between 60 and 79 years old (60.17%). Epithelioid mesothelioma (41.78%), non-Hispanic whites (78.13%), and diagnosis at distant stage (71.60%) were the most common subgroups in their respective categories. 365 patients (10.79%) lacked pleural effusion at diagnosis. In multivariate analyses, higher overall mortality (OM) was associated with male gender (HR = 1.24, 95% CI 1.14-1.37, p < 0.01), age >80 years (HR = 2.17, 95% CI 1.41-3.35, p < 0.01), fibrous mesothelioma (HR = 2.21, 95% CI 1.95-2.51, p < 0.01), and distant stage (HR = 1.55, 95% CI 1.34-1.81, p < 0.01). Higher cancer-specific mortality (CSM) was associated with male gender (HR = 1.25, 95% CI 1.13-1.38, p < 0.01), age >80 years (HR = 2.02, 95% CI 1.29-3.15, p < 0.01), fibrous mesothelioma (HR = 2.24, 95% CI 1.97-2.55, p < 0.01), and distant stage (HR = 1.59, 95% CI 1.36-1.87, p < 0.01). Lower OM and CSM was observed in patients who underwent any type of treatment. Nonmalignant pleural effusion, based on histology, was associated with higher CSM (HR = 1.22, 95% CI 1.05-1.4, p < 0.05). Conclusion: Fibrous mesothelioma, older age, and distant disease were associated with increased mortality. All intervention strategies were associated with improved survival outcomes. Earlier diagnosis may improve outcomes, as available interventions are associated with lower mortality when feasible at diagnosis. The study paves the way for further prospective and retrospective studies to focus on the identification of patient subsets that may benefit from early mesothelioma screening.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.