Evidence map›Paper›PMID 19590700›Full record

ArticleJournal of clinical biochemistry and nutrition2009

F(2)-isoprostanes as novel biomarkers for type 2 diabetes: a review.

Subramanian Kaviarasan, Sekaran Muniandy, Rajes Qvist, Ikram S Ismail

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical biochemistry and nutrition, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 21% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 76 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Article
  6. F2-Isoprostanes Are Associated With Increased Fracture Risk in Type 2 Diabetes.The Journal of clinical endocrinology and metabolism · 2025
    Observational
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Wolfberry (Antioxidants (Basel, Switzerland) · 2021
    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

4 authors at 2 institutions in 1 country.

Subramanian KaviarasanDepartment of Medicine, University of Malaya Medical Center, University of Malaya, 50603 Kuala Lumpur, Malaysia.
Sekaran Muniandy
Rajes Qvist
Ikram S Ismail
University of Malaya · MYUniversity Malaya Medical Centre · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oxidative stress (OS) has been implicated as one of the major underlying mechanisms behind many acute and chronic diseases. However, the measurement of free radicals or their end products is complicated. Isoprostanes, derived from the non-enzymatic peroxidation of arachidonic acid are now considered to be reliable biomarkers of oxidant stress in the human body. Isoprostanes are involved in many of the human diseases such as type 2 diabetes. In type 2 diabetes elevated levels of F(2)-Isoprostanes (F(2)-IsoPs) have been observed. The measurement of bioactive F(2)-IsoPs levels offers a unique noninvasive analytical tool to study the role of free radicals in physiology, oxidative stress-related diseases, and acute or chronic inflammatory conditions. Measurement of oxidative stress by various other methods lacks specificity and sensitivity. This review aims to shed light on the implemention of F(2)-IsoPs measurement as a gold-standard biomarker of oxidative stress in type 2 diabetics.

Indexed as

isoprostaneslipid peroxidationoxidative stresstype 2 diabetes

Identifiers

PMID19590700
PMCPMC2704321
OpenAlexW2126675270

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.