Evidence map›Paper›PMID 29722000›Full record

ReviewClinical & experimental metastasis2018

Review of diagnostic, prognostic, and predictive biomarkers in melanoma.

Jacob S Ankeny, Brian Labadie, Jason Luke, Eddy Hsueh, Jane Messina, Jonathan S Zager

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical & experimental metastasis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Jacob S AnkenyDepartment of Cutaneous Oncology, Moffitt Cancer Center, 10920 McKinley Dr., MKC 4th 11.4123, Tampa, FL, 33612, USA.
Brian LabadieBiological Sciences Division, University of Chicago, 5841 S. Maryland Ave., Chicago, IL, 60637, USA.
Jason LukeBiological Sciences Division, University of Chicago, 5841 S. Maryland Ave., Chicago, IL, 60637, USA.
Eddy HsuehDepartment of Surgical Oncology, St. Louis University, 3655 Vista Ave., 1st Floor, St. Louis, MO, 63110, USA.
Jane MessinaDepartment of Cutaneous Oncology, Moffitt Cancer Center, 10920 McKinley Dr., MKC 4th 11.4123, Tampa, FL, 33612, USA.
Jonathan S ZagerDepartment of Cutaneous Oncology, Moffitt Cancer Center, 10920 McKinley Dr., MKC 4th 11.4123, Tampa, FL, 33612, USA. jonathan.zager@moffitt.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melanoma is an aggressive cutaneous malignancy with rapidly rising incidence. Diagnosis of controversial melanocytic lesions, correct prognostication of patients, selection of appropriate adjuvant and systemic therapies, and prediction of response to a given therapy remain very real challenges. Despite these challenges, multiple high throughput, nucleic-acid based biomarkers have been developed that can be assayed from histologic tissue specimens. FISH, CGH, Decision-Dx, and other multi-marker assays have been combined to improve overall predictability. This review discusses some of the most promising nucleic acid based assays that can be obtained from tissue specimens to assist with diagnosis, prognostication, and prediction of treatment response.

Indexed as

PrognosisBiomarkers, TumorHumansMelanomaBiomarkers, TumorBiomarkerDiagnosticMelanomaPredictivePrognostic

Identifiers

What OpenQuestion holds

Textmetadata
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.