Evidence map›Paper›PMID 26370699›Full record

ReviewCurrent diabetes reports2015

New and emerging biomarkers in cardiovascular disease.

Leah E Cahill, Monica L Bertoia, Sarah A Aroner, Kenneth J Mukamal, Majken K Jensen

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current diabetes reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 19 citations in OpenAlex.

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  4. Consistency Analysis of 3 Detection Systems for Measuring Serum C-Reactive Protein.Medical science monitor : international medical journal of experimental and clinical research · 2022
    Article
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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

5 authors at 3 institutions in 2 countries.

Leah E CahillDepartment of Medicine, Dalhousie University, 5790 University Ave, Halifax, NS, B3H 1V7, Canada. lcahill@hsph.harvard.edu.
Monica L BertoiaDepartment of Nutrition, Harvard T. H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA. mbertoia@hsph.harvard.edu.
Sarah A AronerDepartment of Nutrition, Harvard T. H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA. saroner@hsph.harvard.edu.
Kenneth J MukamalBeth Israel Deaconess Medical Center, 1309 Beacon Street, 2nd Floor, Brookline, Boston, MA, USA. kmukamal@bidmc.harvard.edu.
Majken K JensenDepartment of Nutrition, Harvard T. H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA. mkjensen@hsph.harvard.edu.
Harvard University · USBeth Israel Deaconess Medical Center · USDalhousie University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease (CVD) is the most common cause of death and disability worldwide. Therefore, great importance has been placed on the discovery of novel risk factors and metabolic pathways relevant in the prevention and management of CVD. Such research is ongoing and may continue to lead to better risk stratification of individuals and/or the development of new intervention targets and treatment options. This review highlights emerging biomarkers related to lipid metabolism, glycemia, inflammation, and cardiac damage, some of which show promising associations with CVD risk and provide further understanding of the underlying pathophysiology. However, their measurement methodology and assays will require validation and standardization, and it will take time to accumulate evidence of their role in CVD in various population settings in order to fully assess their clinical utility. Several of the novel biomarkers represent intriguing, potentially game-changing targets for therapy.

Indexed as

AnimalsBiomarkersCardiovascular DiseasesHumansInflammationLipid MetabolismRisk FactorsBiomarkersBiomarkerCardiovascular diseaseCoronary heart diseaseGlycemiaInflammationLipids

Identifiers

PMID26370699
OpenAlexW1686688666

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.