Evidence map›Paper›PMID 38730650›Full record

ArticleCancers2024

Identifying the Trends of Urinary microRNAs within Extracellular Vesicles for Esophageal Cancer.

Kazuhiko Hisaoka, Satoru Matsuda, Kodai Minoura, Hiroki Yamaguchi, Yuki Ichikawa, Mika Mizunuma, Ryota Kobayashi, Yosuke Morimoto, Masashi Takeuchi, Kazumasa Fukuda and 6 more

Abstract read
PubMed Full text at PMC Publisher
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

16 authors.

Kazuhiko HisaokaDepartment of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
Satoru MatsudaDepartment of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
Kodai MinouraCraif Inc., Tokyo 113-0034, Japan.
Hiroki YamaguchiCraif Inc., Tokyo 113-0034, Japan.
Yuki IchikawaCraif Inc., Tokyo 113-0034, Japan.
Mika MizunumaCraif Inc., Tokyo 113-0034, Japan.
Ryota KobayashiDepartment of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
Yosuke MorimotoDepartment of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
Masashi TakeuchiDepartment of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
Kazumasa FukudaDepartment of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
Rieko NakamuraDepartment of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
Shutaro HoriDepartment of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
Taigi YamazakiDepartment of Clinical Research and Development, Graduate School of Pharmacy, Showa University, Tokyo 142-8555, Japan.
Takehiko SambeDepartment of Clinical Pharmacology, Graduate School of Medicine, Showa University, Tokyo 142-8555, Japan.
Hirofumi KawakuboDepartment of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
Yuko KitagawaDepartment of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

biomarkersesophageal squamous cell carcinomaliquid biopsyurinary microRNAs

Identifiers

PMID38730650
PMCPMC11083496

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.