Evidence map›Paper›PMID 36902191›Full record

ArticleInternational journal of molecular sciences2023

Prediction Model with

Nao Nishida, Jun Ohashi, Goki Suda, Takehiro Chiyoda, Nobuharu Tamaki, Takahiro Tomiyama, Sachiko Ogasawara, Masaya Sugiyama, Yosuke Kawai, Seik-Soon Khor and 12 more

Open access · goldFull text read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

22 authors at 8 institutions in 1 country.

Nao NishidaGenome Medical Science Project, National Center for Global Health and Medicine, Ichikawa 272-8516, Japan.
Jun OhashiDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo 113-0033, Japan.
Goki SudaDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, Hokkaido University, North 15, West 7, Kita-ku, Sapporo 060-8638, Japan.
Takehiro ChiyodaHepato-Biliary-Pancreatic Division, Department of Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan.
Nobuharu TamakiDepartment of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino 180-8610, Japan.
Takahiro TomiyamaDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan.
Sachiko OgasawaraDepartment of Pathology, Kurume University School of Medicine, Kurume 830-0011, Japan.
Masaya SugiyamaDepartment of Viral Pathogenesis and Controls, National Center for Global Health and Medicine, Ichikawa 272-8516, Japan.ORCID 0000-0002-9084-7197
Yosuke KawaiGenome Medical Science Project-Toyama, National Center for Global Health and Medicine, Tokyo 162-8655, Japan.
Seik-Soon KhorGenome Medical Science Project-Toyama, National Center for Global Health and Medicine, Tokyo 162-8655, Japan.ORCID 0000-0002-6809-4731
Masao NagasakiHuman Biosciences Unit for the Top Global Course Center for the Promotion of Interdisciplinary Education and Research, Kyoto University, Kyoto 606-8507, Japan.ORCID 0000-0002-4292-8785
Akihiro FujimotoDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo 113-0003, Japan.
Takayo TsuchiuraGenome Medical Science Project, National Center for Global Health and Medicine, Ichikawa 272-8516, Japan.
Miyuki IshikawaGenome Medical Science Project, National Center for Global Health and Medicine, Ichikawa 272-8516, Japan.
Koichi MatsudaLaboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo 108-8639, Japan.
Hirohisa YanoDepartment of Pathology, Kurume University School of Medicine, Kurume 830-0011, Japan.
Tomoharu YoshizumiDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan.ORCID 0000-0002-4497-1816
Namiki IzumiDepartment of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino 180-8610, Japan.
Kiyoshi HasegawaHepato-Biliary-Pancreatic Division, Department of Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan.
Naoya SakamotoDepartment of Gastroenterology and Hepatology, Graduate School of Medicine, Hokkaido University, North 15, West 7, Kita-ku, Sapporo 060-8638, Japan.
Masashi MizokamiGenome Medical Science Project, National Center for Global Health and Medicine, Ichikawa 272-8516, Japan.
Katsushi TokunagaGenome Medical Science Project-Toyama, National Center for Global Health and Medicine, Tokyo 162-8655, Japan.ORCID 0000-0001-5501-0503
National Center for Global Health and Medicine · JPThe University of Tokyo · JPHokkaido University · JPKurume University · JPKyushu University · JPMusashino Red Cross Hospital · JPKyoto University · JPTokyo Medical and Dental University · JP

Funding

High Performance Computing Infrastructure jh220014Japan Agency for Medical Research and Development JP20km0405211Japan Agency for Medical Research and Development JP21fk0210056Japan Agency for Medical Research and Development JP22fk0210072Japan Agency for Medical Research and Development JP 22fk0210078Japan Agency for Medical Research and Development JP22fk0210111Japan Agency for Medical Research and Development JP22fk0310515Joint Usage/Research Center for Interdisciplinary Large-scale In-formation Infrastructures jh210018-NWHNational Center for Global Health and Medicine 19A1017National Center for Global Health and Medicine 22A1005
6 · The paper itself

Abstract

The development of liver cancer in patients with hepatitis B is a major problem, and several models have been reported to predict the development of liver cancer. However, no predictive model involving human genetic factors has been reported to date. For the items incorporated in the prediction model reported so far, we selected items that were significant in predicting liver carcinogenesis in Japanese patients with hepatitis B and constructed a prediction model of liver carcinogenesis by the Cox proportional hazard model with the addition of

Indexed as

Carcinoma, HepatocellularHepatitis B, ChronicHLA-A AntigensLiver NeoplasmsHematologic TestsHumansROC CurveHLA-A Antigenscox proportional-hazards regression modelhepatitis B virushepatocellular carcinomahuman leukocyte antigenprediction

Identifiers

PMID36902191
PMCPMC10003621
OpenAlexW4322771656

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read3
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.