Evidence map›Paper›PMID 21540020›Full record

ReviewSeminars in cutaneous medicine and surgery2011

Merkel cell carcinoma: update and review.

Timothy S Wang, Patrick J Byrne, Lisa K Jacobs, Janis M Taube

Abstract readReview
In one paragraph

Review in Seminars in cutaneous medicine and surgery, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Diagnosis and treatment of Merkel cell carcinoma in a puppy: A comparative oncology approach.The Canadian veterinary journal = La revue veterinaire canadienne · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Talimogene Laherparepvec in Non-Melanoma Cancers.The Journal of clinical and aesthetic dermatology · 2021
    Review
  9. Current concepts and approaches to merkel cell carcinoma.Archives of dermatological research · 2021
    Review
  10. Article
  11. Merkel cell carcinoma: a case report and literature review.Journal of surgical case reports · 2019
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. CD200 Expression in Neuroendocrine Neoplasms.American journal of clinical pathology · 2017
    Article
  18. A Review of the Global Guidelines on Surgical Margins for Nonmelanoma Skin Cancers.The Journal of clinical and aesthetic dermatology · 2017
    Review
  19. Article
  20. A 76 year old male with an unusual presentation of merkel cell carcinoma.International journal of surgery case reports · 2016
    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

4 authors.

Timothy S WangDivision of Cutaneous Surgery and Oncology, Department of Dermatology, The Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA. twang49@jhmi.edu
Patrick J Byrne
Lisa K Jacobs
Janis M Taube

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI WILLIAM George NELSON · 1985 to 2026
$208.6M
NCI NIH HHS P30 CA006973
6 · The paper itself

Abstract

Merkel cell carcinoma (MCC) is a rare, aggressive, and often fatal cutaneous malignancy that is not usually suspected at the time of biopsy. Because of its increasing incidence and the discovery of a possible viral association, interest in MCC has escalated. Recent effort has broadened our breadth of knowledge regarding MCC and developed instruments to improve data collection and future study. This article provides an update on current thinking about the Merkel cell and MCC.

Indexed as

Carcinoma, Merkel CellHumansLymphatic MetastasisNeoplasm StagingPolyomavirusSkin Neoplasms

Identifiers

PMID21540020
PMCPMC4657440

What OpenQuestion holds

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Registered trials

None linked

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.