Evidence map›Paper›PMID 31936623›Full record

ReviewInternational journal of molecular sciences2020

Significance of 5-

Kazumasa Wakamatsu, Satoshi Fukushima, Akane Minagawa, Toshikazu Omodaka, Tokimasa Hida, Naohito Hatta, Minoru Takata, Hisashi Uhara, Ryuhei Okuyama, Hironobu Ihn

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 23% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Predictive Performance of Serum S100BFrontiers in oncology · 2021
    Pooled it
  2. Trial
  3. Unique Features of Melanoma Risk and Diagnosis in Red-Haired Populations.International journal of molecular sciences · 2026
    Review
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  18. Chemical Reactivities ofInternational journal of molecular sciences · 2020
    Review
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

10 authors at 6 institutions in 1 country.

Kazumasa WakamatsuDepartment of Chemistry, Fujita Health University School of Medical Sciences, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi 470-1192, Japan.
Satoshi FukushimaDepartment of Dermatology and Plastic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan.
Akane MinagawaDepartment of Dermatology, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano 390-8621, Japan.
Toshikazu OmodakaDepartment of Dermatology, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano 390-8621, Japan.
Tokimasa HidaDepartment of Dermatology, Sapporo Medical University School of Medicine, South 1, West 16, Chuo-ku, Sapporo 060-8543, Japan.
Naohito HattaDepartment of Dermatology, Toyama Prefectural Central Hospital, 2-2-78 Nishinagae, Toyama, Toyama 930-8550, Japan.
Minoru TakataDepartment of Dermatology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikada-cho, Kita-Ku, Okayama 700-8558, Japan.
Hisashi UharaDepartment of Dermatology, Sapporo Medical University School of Medicine, South 1, West 16, Chuo-ku, Sapporo 060-8543, Japan.
Ryuhei OkuyamaDepartment of Dermatology, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano 390-8621, Japan.
Hironobu IhnDepartment of Dermatology and Plastic Surgery, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto 860-8556, Japan.
Shinshu University · JPKumamoto University · JPSapporo Medical University · JPFujita Health University Hospital · JPOkayama University · JPToyama Prefectural Central Hospital · JP

Funding

Grants-in-Aid for Scientific Research from the Ministry of Education, Science, and Culture 02670487Japan Society for the Promotion of Science (JSPS) 18K08301Scholarship donation Fujita Health Universitythe Ministry of Health and Welfare, no. 3-20, Japan, and for Cancer Research from the Ministry of Health, Labour and Welfare of Japan 11-7
6 · The paper itself

Abstract

Melanoma is one of the most lethal and malignant cancers and its incidence is increasing worldwide, and Japan is not an exception. Although there are numerous therapeutic options for melanoma, the prognosis is still poor once it has metastasized. The main concern after removal of a primary melanoma is whether it has metastasized, and early detection of metastatic melanoma would be effective in improving the prognosis of patients. Thus, it is very important to identify reliable methods to detect metastases as early as possible. Although many prognostic biomarkers (mainly for metastases) of melanoma have been reported, there are very few effective for an early diagnosis. Serum and urinary biomarkers for melanoma diagnosis have especially received great interest because of the relative ease of sample collection and handling. Several serum and urinary biomarkers appear to have significant potential both as prognostic indicators and as targets for future therapeutic methods, but still there are no efficient serum and urinary biomarkers for early detection, accurate diagnosis and prognosis, efficient monitoring of the disease and reliable prediction of survival and recurrence. Levels of 5-

Indexed as

Biomarkers, TumorCysteinyldopaDrug MonitoringHumansMelanomaMetabolomeSkin NeoplasmsBiomarkers, TumorCysteinyldopa5-S-cysteinyldopa (5SCD)anti-programmed cell death protein (PD)-1 antibodybiomarkerearly detectionhepatocyte growth factor (HGF)lactate dehydrogenase (LDH)melanomaMelanoma inhibitory activity (MIA)S100 calcium-binding protein B (S100B)

Identifiers

PMID31936623
PMCPMC7013534
OpenAlexW2998830048

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.