ArticleCureus2026
Knee-Deep in Bias: When the Low-Probability Diagnosis of Double-Expressor Lymphoma Wins.
Article in Cureus, 2026. 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.
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In resource-constrained, geographically isolated regions like the Commonwealth of the Northern Mariana Islands (CNMI), diagnostic delays can have profound consequences, particularly for aggressive lymphomas. This case report details the journey of a 32-year-old female originally from Tinian, whose initial presentation of knee pain was attributed to gout, masking an underlying double expressor subtype of diffuse large B-cell lymphoma. The limitations in CNMI, including the absence of MRI, prolonged referral pathways, a lack of specialists, and logistical hurdles in obtaining specialized molecular diagnostics, significantly delayed accurate diagnosis. Over months, her condition progressed to include lytic bone lesions, soft tissue masses, and ultimately, widespread systemic involvement requiring definitive management at a higher-level facility. The case underscores how resource disparities in remote settings can obscure rare diagnoses, emphasizing the need for heightened clinical suspicion, innovative diagnostic strategies, streamlined referral processes, and/or expansion of virtual healthcare to improve outcomes in such vulnerable populations.
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