Evidence map›Paper›PMID 27429132›Full record

ReviewHealthcare (Basel, Switzerland)2013

B-Mode Ultrasound Imaging, Doppler Imaging, and Real-Time Elastography in Cutaneous Malignant Melanoma and Lymph Node Metastases.

Takayoshi Uematsu, Masako Kasami, Yoshio Kiyohara

Open access · goldAbstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact, top 94% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Imaging Assessment of Interval Metastasis from Melanoma.Journal of personalized medicine · 2022
    Review
  4. Article
  5. 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 1 institution in 1 country.

Takayoshi UematsuThe Department of Clinical Physiology, Shizuoka Cancer Center Hospital, Naga-izumi, Shizuoka 411-8777, Japan. t.uematsu@scchr.jp.
Masako KasamiThe Department of Pathology, Shizuoka Cancer Center Hospital, Naga-izumi, Shizuoka 411-8777, Japan. juliasandydp@yahoo.co.jp.
Yoshio KiyoharaThe Department of Dermatology, Shizuoka Cancer Center Hospital, Naga-izumi, Shizuoka 411-8777, Japan. y.kiyohara@scchr.jp.
Shizuoka Cancer Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Examination by ultrasonography (US) is a rapid, sensitive, cost-effective, and even portable technique for confirming the presence of tumors. However, US is not routinely used worldwide for the diagnostic work-up of cutaneous malignant melanoma. High-resolution US using a 6-14 MHz or 5-13 MHz linear transducer enables the preoperative assessment of tumor size and thickness. Compared with physical examination, US is also very effective in the early detection of lymph node metastases. It can be easily repeated for the follow-up of cutaneous malignant melanoma and lymph node metastases. Ultrasonographic appearance of some lymph nodes may overlap, thus producing diagnostic pitfalls. In such cases with overlapping findings, Doppler imaging and elastography may additionally facilitate the evaluation of cutaneous malignant melanoma and lymph node metastases. US-guided fine needle aspiration cytology (FNAC) finally helps to confirm ultrasonographic results, thus improving the specificity and sensitivity in difficult situations in which US alone gives unclear results in lymph node assessment.

Indexed as

B-mode ultrasound imagingcutaneous malignant melanomaDoppler imaginglymph node metastasesreal-time elastography

Identifiers

PMID27429132
PMCPMC4934507
OpenAlexW1983250552

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.