ArticleClinical case reports2024
Facial Merkel cell carcinoma in a 92-year-old man: A case report.
Article in Clinical case reports, 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.
- Facial Merkel cell carcinoma in a 92-year-old man: A case report.Clinical case reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Merkel cell carcinoma (MCC) is a rare and aggressive skin cancer that can be easily misdiagnosed in its early stages. Clinicians should maintain a high index of suspicion for rapidly growing skin lesions in elderly patients and promptly investigate with histopathology and immunohistochemistry. Treatment for MCC should be individualized, considering the patient's age, overall health, and quality of life. Close follow-up is essential to detect recurrence or metastasis early.
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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.