ArticleCureus2024
Malignant Mesothelioma: Overcoming Diagnostic Hurdles.
Article in Cureus, 2024. 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
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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
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Malignant pleural mesothelioma, an aggressive neoplasm frequently linked to asbestos exposure, is often detected at an advanced stage. This report details the case of a 58-year-old mason who presented with left-sided chest pain, and shortness of breath, accompanied by weight loss for a month. A positron emission tomography (PET) scan revealed increased uptake along the pleural surface, as well as in several mediastinal lymph nodes and the left supraclavicular lymph node. Thoracoscopy revealed the presence of multiple nodules on the costal pleura. Despite repeated negative results from pleural effusion cytology, cell block analysis, and pleural biopsies, the diagnosis of malignant mesothelioma (MM) was ultimately established through an ultrasound-guided (USG) biopsy of the left supraclavicular lymph node, with immunohistochemical confirmation using calretinin.
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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.