Evidence map›Paper›PMID 27662841›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016

Insulin-like growth factor-related components and the risk of liver cancer in a nested case-control study.

Yasushi Adachi, Masanori Nojima, Mitsuru Mori, Yasutaka Matsunaga, Noriyuki Akutsu, Shigeru Sasaki, Takao Endo, Youichi Kurozawa, Kenji Wakai, Akiko Tamakoshi and 1 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
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  9. Observational
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  11. Article
  12. Insulin-Like Growth Factor (IGF) System in Liver Diseases.International journal of molecular sciences · 2018
    Review
  13. Article
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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

11 authors at 4 institutions in 1 country.

Yasushi AdachiDivision of Gastroenterology, Department of Internal Medicine, Sapporo Shirakaba-dai Hospital, Sapporo, Japan. yadachi@sapmed.ac.jp.
Masanori NojimaThe Institute of Medical Science Hospital, The University of Tokyo, Tokyo, Japan.
Mitsuru MoriDepartment of Public Health, School of Medicine, Sapporo Medical University, Sapporo, Japan.
Yasutaka MatsunagaDepartment of Gastroenterology, Rheumatology, and Clinical Immunology, Sapporo Medical University, S-1, W-16, Chuo-ku, Sapporo, 060-8543, Japan.
Noriyuki AkutsuDepartment of Gastroenterology, Rheumatology, and Clinical Immunology, Sapporo Medical University, S-1, W-16, Chuo-ku, Sapporo, 060-8543, Japan.
Shigeru SasakiDepartment of Gastroenterology, Rheumatology, and Clinical Immunology, Sapporo Medical University, S-1, W-16, Chuo-ku, Sapporo, 060-8543, Japan.
Takao EndoDivision of Gastroenterology, Department of Internal Medicine, Sapporo Shirakaba-dai Hospital, Sapporo, Japan.
Youichi KurozawaDivision of Health Administration and Promotion, Faculty of Medicine, Tottori University, Yonago, Japan.
Kenji WakaiDepartment of Preventive Medicine, Graduate School of Medicine, Nagoya University, Nagoya, Japan.
Akiko TamakoshiDepartment of Public Health, Hokkaido University School of Medicine, Sapporo, Japan.
for JACC Study
Sapporo Medical University · JPHokkaido University · JPKeiyukai Sapporo Hospital · JPTottori University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insulin-like growth factor-1 (IGF1) is a potent mitogen. IGF-binding protein-3 (IGFBP3) binds and inhibits IGF1. High circulating IGF1 levels and low IGFBP3 levels are associated with increased risk of several cancers. We examined relationships between serum levels of these factors and hepatoma risk in a case-control study nested in a prospective cohort study (the Japan Collaborative Cohort Study (JACC Study)). A baseline survey was conducted from 1988 to 1990, and 39,242 subjects donated blood samples. Participants diagnosed with hepatoma by 1997 were considered cases for nested case-control studies. Ninety-one cases and 263 sex- and age-matched controls were analyzed. A conditional logistic model was used to estimate odds ratios (ORs) for the incidence of hepatoma associated with serum IGF1 and IGFBP3 levels. Neither IGF1 nor the molar ratio of IGF1/IGFBP3 was correlated with hepatoma risk. After adjustment for hepatitis viral infection, body mass index, smoking, and alcohol intake, a higher molar difference of (IGFBP3 - IGF1) was associated with a decreased hepatoma risk more than IGFBP3 alone (p for trend <0.001 and = 0.003, respectively). People in the highest quartile had a lower risk (OR = 0.098; 95 % confidence interval = 0.026-0.368). In subgroup analyses of males and females, the molar difference was associated with a decreased hepatoma risk (p for trend <0.05). In non-elderly individuals, the difference was inversely correlated with the incidence of hepatoma (p for trend <0.01). The molar difference of (IGFBP3 - IGF1) may be inversely associated with the incidence of hepatoma.

Indexed as

AgedBiomarkers, TumorCase-Control StudiesFemaleFollow-Up StudiesHumansInsulin-Like Growth Factor Binding Protein 3Insulin-Like Growth Factor IJapanLiver NeoplasmsMaleMiddle AgedNeoplasm StagingPrognosisProspective StudiesRisk FactorsBiomarkers, TumorIGFBP3 protein, humanInsulin-Like Growth Factor Binding Protein 3Insulin-Like Growth Factor IHepatomaIGF-binding protein (IGFBP)Insulin-like growth factor (IGF)Nested case-control studyOdds ratio

Identifiers

PMID27662841
OpenAlexW2521317000

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.