Evidence map›Paper›PMID 29556735›Full record

ReviewCurrent atherosclerosis reports2018

Blood Fatty Acid Profiles: New Biomarkers for Cardiometabolic Disease Risk.

Kristina H Jackson, William S Harris

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current atherosclerosis reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Impact of internal standard selection on measurement results for long chain fatty acids in blood.Journal of mass spectrometry and advances in the clinical lab · 2024
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. 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

2 authors at 1 institution in 1 country.

Kristina H JacksonOmegaQuant, LLC, 5009 W. 12th St., Suite 8, Sioux Falls, SD, 57106, USA. kristina@omegaquant.com.
William S HarrisOmegaQuant, LLC, 5009 W. 12th St., Suite 8, Sioux Falls, SD, 57106, USA.
University of South Dakota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewFatty acid (FA) profiles in different blood compartments are reflections of both diet and metabolism, and some FA levels are related to disease risk. RECENT

findingsPerhaps the most studied FA-disease relationship is between long-chain omega-3 polyunsaturated fatty acids [eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA)] and cardiovascular disease (CVD). Despite null results from recent large omega-3 FA supplementation trials, new research continues to support past studies showing that blood levels of EPA + DHA are inversely related to risk for total mortality and fatal CVD events. But blood levels of other FAs may also be useful markers of risk for a variety of diseases. The essential omega-6 FA linoleic acid is inversely associated with risk for developing type 2 diabetes (T2D), whereas risk for T2D is directly related to biomarkers of de novo lipogenesis (palmitic and palmitoleic acids). Levels of industrially produced trans FAs have been linked to higher risk for CVD. Thus, blood levels of several individual FAs are emerging as modifiable biomarkers for risk of major chronic diseases.

Indexed as

BiomarkersCardiovascular DiseasesDiabetes Mellitus, Type 2Fatty AcidsHumansBiomarkersFatty AcidsCardiovascular diseaseFatty acidsMortalityOmega-3Omega-6Type 2 diabetes

Identifiers

PMID29556735
OpenAlexW2790295137

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.