Evidence map›Paper›PMID 24860656›Full record

ReviewF1000prime reports2014

Point of care cutaneous imaging technology in melanoma screening and mole mapping.

H William Higgins, Kachiu C Lee, David J Leffell

Open access · bronzeAbstract readReview
In one paragraph

Review in F1000prime reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 40% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

3 authors at 2 institutions in 1 country.

H William HigginsDepartment of Dermatology, Section of Cutaneous Oncology and Dermatologic Surgery, Yale University School of Medicine 40 Temple Street 5A, New Haven, CT 06510 USA.
Kachiu C LeeDepartment of Dermatology, Brown University 593 Eddy Street, APC 10, Providence, RI 02903 USA.
David J LeffellDepartment of Dermatology, Section of Cutaneous Oncology and Dermatologic Surgery, Yale University School of Medicine 40 Temple Street 5A, New Haven, CT 06510 USA.
Yale University · USBrown University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melanoma is a malignancy of melanocytes or pigment-producing cells located predominantly in the skin. It is less common than other skin cancers but causes the greatest number of skin cancer-related deaths worldwide. The incidence of melanoma continues to increase and early detection is the most promising means of decreasing morbidity and mortality. Currently, physicians perform routine skin cancer screenings for melanoma without the benefit of imaging devices more advanced than handheld magnifiers or dermatoscopes. However, it is possible that the diagnosis of melanoma may be improved with technology that provides diagnostic discrimination beyond what is possible on routine inspection. This article reviews current and emerging technologies to aid in the diagnosis of melanoma. Ultimately, these advances may enhance the early diagnosis of melanoma.

Identifiers

PMID24860656
PMCPMC4017910
OpenAlexW2023783015

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.