Evidence map›Paper›PMID 22528594›Full record

ReviewCurrent diabetes reports2012

Diabetes mellitus and acute coronary syndrome: lessons from randomized clinical trials.

Sanjum S Sethi, Elias G Akl, Michael E Farkouh

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current diabetes reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
1.9field-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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

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  9. Diabetes Mellitus in Acute Coronary Syndrome.Life (Basel, Switzerland) · 2023
    Review
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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 3 institutions in 1 country.

Sanjum S SethiZena and Michael A. Weiner Cardiovascular Institute, Mount Sinai School of Medicine, New York, NY 10029, USA. Sanjum.Sethi@mssm.edu
Elias G Akl
Michael E Farkouh
Cardiovascular Institute of the South · USEnglewood Hospital and Medical Center · USIcahn School of Medicine at Mount Sinai · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus is a major independent risk factor for acute coronary syndrome (ACS). In addition, diabetic patients with ACS suffer from increased mortality compared to their nondiabetic peers. Driven by multiple pathophysiological disturbances, such patients are predisposed to a proinflammatory, prothrombotic state, which may lead to plaque rupture. To counteract this more complex biology, several therapies and strategies have emerged, with some having unique preferential benefits in this population. Antiplatelet agents such as aspirin and clopidogrel have long been standard of care. Dose adjustment of these therapies remains the subject of continued research. Along with medical therapy, ACS diabetic patients preferentially benefit from primary percutaneous intervention compared to fibrinolysis. However, with advances in reperfusion techniques, the optimal strategy has yet to be determined. With these differences in ACS treatment responses, diabetic individuals may not just be a high-risk group, but may actually constitute a fundamentally different population, requiring dedicated clinical trials and individualized treatment regimens.

Indexed as

Acute Coronary SyndromeAngioplasty, Balloon, CoronaryAnticoagulantsDiabetes Mellitus, Type 2FemaleHumansHyperglycemiaMaleMyocardial InfarctionMyocardial ReperfusionPlatelet Aggregation InhibitorsRandomized Controlled Trials as TopicRisk FactorsAnticoagulantsPlatelet Aggregation Inhibitors

Identifiers

PMID22528594
OpenAlexW2074406015

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.