Evidence map›Paper›PMID 23299640›Full record

ReviewCurrent atherosclerosis reports2013

Statins and diabetes: the good, the bad, and the unknown.

Kelly Axsom, Jeffrey S Berger, Arthur Z Schwartzbard

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current atherosclerosis reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Statin use and risk of diabetes mellitus.World journal of diabetes · 2015
    Review
  13. Lipid, blood pressure and kidney update 2013.International urology and nephrology · 2014
    Review
  14. 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

3 authors at 1 institution in 1 country.

Kelly AxsomDepartment of Medicine, Division of Cardiology, NYU Langone Medical Center, 530 First Avenue, Skirball 9U, New York, NY 10016, USA. Kelly.Axsom@nyumc.org
Jeffrey S Berger
Arthur Z Schwartzbard
NYU Langone Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability for statins to reduce major cardiovascular events and mortality has lead to this drug class being the most commonly prescribed in the world. In particular, the benefit of these drugs in type 2 diabetes (T2D) is well established. In February 2012, the Food and Drug Administration released changes to statin safety label to include that statins have been associated with increases in hemoglobin A1C and fasting serum glucose levels. This has stirred much debate in the medical community. Estimate for new onset diabetes from statin treatment is approximately one in 255 patients over four years. The number needed to treat for statin benefit is estimated at one in 40 depending on the population. The mechanism of this link remains unknown. Statins may accelerate progression to diabetes via molecular mechanisms that impact insulin resistance and cellular metabolism of carbohydrates. It remains clear that the benefit of statin therapy outweighs the risk of developing diabetes.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Disease ProgressionGlobal HealthHumansHydroxymethylglutaryl-CoA Reductase InhibitorsInsulin ResistanceMorbidityPrimary PreventionRisk FactorsHydroxymethylglutaryl-CoA Reductase Inhibitors

Identifiers

PMID23299640
OpenAlexW2040588962

What OpenQuestion holds

Texttitle and abstract
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.