Evidence map›Paper›PMID 27091074›Full record

ArticleScientific reports2016

Phosphorylated IGFBP-1 as a non-invasive predictor of liver fat in NAFLD.

Elina M Petäjä, You Zhou, Marika Havana, Antti Hakkarainen, Nina Lundbom, Jarkko Ihalainen, Hannele Yki-Järvinen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Insulin-Like Growth Factor (IGF) System in Liver Diseases.International journal of molecular sciences · 2018
    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

7 authors at 4 institutions in 2 countries.

Elina M PetäjäMinerva Foundation Institute for Medical Research, Helsinki, Finland.
You ZhouMinerva Foundation Institute for Medical Research, Helsinki, Finland.
Marika HavanaUnited Medix Laboratories, Espoo, Finland.
Antti HakkarainenHUS Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland.
Nina LundbomHUS Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland.
Jarkko IhalainenUnited Medix Laboratories, Espoo, Finland.
Hannele Yki-JärvinenMinerva Foundation Institute for Medical Research, Helsinki, Finland.
Helsinki University Hospital · FIMinerva Foundation · FIUnited Medix Laboratories (Finland) · FIUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insulin-like growth factor binding protein 1 (IGFBP-1) is a potentially interesting marker for liver fat in NAFLD as it is exclusively produced by the liver, and insulin is its main regulator. We determined whether measurement of fasting serum phosphorylated IGFBP-1 (fS-pIGFBP-1) helps to predict liver fat compared to routinely available clinical parameters and PNPLA3 genotype at rs738409. Liver fat content (proton magnetic resonance spectroscopy) was measured in 378 subjects (62% women, age 43 [30-54] years, BMI 32.7 [28.1-39.7] kg/m(2), 46% with NAFLD). Subjects were randomized to discovery and validation groups, which were matched for clinical and biochemical parameters and PNPLA3 genotype. Multiple linear regression and Random Forest modeling were used to identify predictors of liver fat. The final model, % Liver Fat Equation', included age, fS-pIGFBP-1, S-ALT, waist-to-hip ratio, fP-Glucose and fS-Insulin (adjusted R(2) = 0.44 in the discovery group, 0.49 in the validation group, 0.47 in all subjects). The model was significantly better than a model without fS-pIGFBP-1 or S-ALT or S-AST alone. Random Forest modeling identified fS-p-IGFBP-1 as one of the top five predictors of liver fat (adjusted R(2) = 0.39). Therefore, measurement of fS-pIGFBP-1 may help in non-invasive prediction of liver fat content.

Indexed as

Adipose TissueAdultFemaleHumansInsulin-Like Growth Factor Binding Protein 1MaleMiddle AgedNon-alcoholic Fatty Liver DiseasePhosphorylationInsulin-Like Growth Factor Binding Protein 1

Identifiers

PMID27091074
PMCPMC4835723
OpenAlexW2338989200

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.