Evidence map›Paper›PMID 35887637›Full record

ReviewJournal of personalized medicine2022

The Need for Individualized Risk Assessment in Cardiovascular Disease.

Hui Yin Lim, Louise M Burrell, Rowena Brook, Harshal H Nandurkar, Geoffrey Donnan, Prahlad Ho

Open access · goldAbstract readReview
In one paragraph

Review in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

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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

6 authors at 4 institutions in 1 country.

Hui Yin LimNorthern Pathology Victoria, Northern Health, Epping, Melbourne, VIC 3076, Australia.ORCID 0000-0003-2455-3155
Louise M BurrellDepartment of Medicine, Austin Health, University of Melbourne, Heidelberg, Melbourne, VIC 3084, Australia.ORCID 0000-0003-1863-7539
Rowena BrookNorthern Pathology Victoria, Northern Health, Epping, Melbourne, VIC 3076, Australia.
Harshal H NandurkarAustralian Centre for Blood Diseases, Monash University, Melbourne, VIC 3004, Australia.
Geoffrey DonnanThe Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Parkville, Melbourne, VIC 3010, Australia.
Prahlad HoNorthern Pathology Victoria, Northern Health, Epping, Melbourne, VIC 3076, Australia.
The University of Melbourne · AUAustralian Centre for HIV and Hepatitis Virology Research · AUNorthern Health · AUThe Royal Melbourne Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease remains the leading cause of death in the era of modern medicine despite major advancements in this field. Current available clinical surrogate markers and blood tests do not adequately predict individual risk of cardiovascular disease. A more precise and sophisticated tool that can reliably predict the thrombosis and bleeding risks at an individual level is required in order for clinicians to confidently recommend early interventions with a favorable risk-benefit profile. Critical to the development of this tool is the assessment and understanding of Virchow's triad and its complex interactions between hypercoagulability, endothelial dysfunction and vessel flow, a fundamental concept to the development of thrombosis. This review explores the pathophysiology of cardiovascular disease stemming from the triad of factors and how individualized risk assessment can be improved through the multimodal use of tools such as global coagulation assays, endothelial biomarkers and vessel flow assessment.

Indexed as

cardiovascular diseaseendothelial markersglobal coagulation assaysrisk assessmentVirchow’s triad

Identifiers

PMID35887637
PMCPMC9323107
OpenAlexW4285596437

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.