Evidence map›Paper›PMID 38611025›Full record

ArticleCancers2024

Targeted DNA Sequencing of Cutaneous Melanoma Identifies Prognostic and Predictive Alterations.

Alexandra M Haugh, Robert C Osorio, Rony A Francois, Michael E Tawil, Katy K Tsai, Michael Tetzlaff, Adil Daud, Harish N Vasudevan

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

8 authors at 1 institution in 1 country.

Alexandra M HaughDepartment of Medicine, Division of Hematology/Oncology, Helen Diller Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94142, USA.
Robert C OsorioDepartment of Radiation Oncology, University of California San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0002-7669-2176
Rony A FrancoisDepartment of Dermatology, University of California San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0003-4699-6336
Michael E TawilDepartment of Radiation Oncology, University of California San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0001-5901-769X
Katy K TsaiDepartment of Medicine, Division of Hematology/Oncology, Helen Diller Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94142, USA.
Michael TetzlaffDepartment of Dermatology, University of California San Francisco, San Francisco, CA 94143, USA.
Adil DaudDepartment of Medicine, Division of Hematology/Oncology, Helen Diller Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA 94142, USA.
Harish N VasudevanDepartment of Radiation Oncology, University of California San Francisco, San Francisco, CA 94143, USA.
University of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCutaneous melanoma (CM) can be molecularly classified into four groups:

methodsThis was a retrospective cohort study that assessed clinical and molecular features from patients with localized or metastatic CM who underwent targeted next-generation sequencing as part of routine clinical care. A total of 254 patients with CM who had a CLIA-certified targeted sequencing assay performed on their tumor tissue were included.

resultsOf the 254 patients with cutaneous melanoma, 77 were

conclusions

Indexed as

biomarkersBRAFimmune checkpoint inhibitorsMAPK pathwaymelanomaNF1NRAStriple wild type

Identifiers

PMID38611025
PMCPMC11011039
OpenAlexW4393356397

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.