Evidence map›Paper›PMID 29775960›Full record

SynthesisRedox biology2018

Strategies to decrease oxidative stress biomarker levels in human medical conditions: A meta-analysis on 8-iso-prostaglandin F

Thomas J van 't Erve

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Redox biology, 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
1.4field-weighted citation impact, top 20% 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, 20 citations in OpenAlex.

  1. Pooled it
  2. Elevated Amniotic Fluid 8-Iso-Prostaglandin FAntioxidants (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Associations of plasma 8-iso-prostaglandin FBMC endocrine disorders · 2021
    Article
  9. Article
  10. Review
  11. Cerebral Small Vessel Disease.International journal of molecular sciences · 2020
    Review
  12. Article
  13. 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

1 author at 1 institution in 1 country.

Thomas J van 't ErveImmunity, Inflammation and Disease Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, 27709 NC, USA; Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, 27709 NC, USA. Electronic address: thomas.vanterve@nih.gov.
National Institute of Environmental Health Sciences · US

Funding

Biomarkers Of Oxidative Stress StudyZ01ES048012 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI MASON, RONALD P · 1999 to 2008
$515k
Intramural NIH HHS Z01 ES048012
6 · The paper itself

Abstract

The widespread detection of elevated oxidative stress levels in many medical conditions has led to numerous efforts to design interventions to reduce its effects. Efforts have been wide-ranging, from dietary changes to administration of antioxidants, supplements, e.g., omega-3-fatty acids, and many medications. However, there is still no systemic assessment of the efficacy of treatments for oxidative stress reduction across a variety of medical conditions. The goal of this meta-analysis is, by combining multiple studies, to quantitate the change in the levels of the popular oxidative stress biomarker 8-iso-prostaglandin F

Indexed as

AntioxidantsBiomarkersCoronary Artery DiseaseDietary SupplementsDinoprostGenetics, PopulationHumansLipid PeroxidationOxidation-ReductionOxidative Stress8-epi-prostaglandin F2alphaAntioxidantsBiomarkersDinoprost

Identifiers

PMID29775960
PMCPMC6007822
OpenAlexW2799493459

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.