Evidence map›Paper›PMID 33633217›Full record

ArticleScientific reports2021

Fibrinogen and hemoglobin predict near future cardiovascular events in asymptomatic individuals.

Moritz Lassé, Anna P Pilbrow, Torsten Kleffmann, Elin Andersson Överström, Anne von Zychlinski, Christopher M A Frampton, Katrina K Poppe, Richard W Troughton, Lynley K Lewis, Timothy C R Prickett and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. 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
1.0field-weighted citation impact, top 25% 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, 10 citations in OpenAlex.

  1. Observational
  2. Article
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  6. Observational
  7. Review
  8. 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

13 authors at 4 institutions in 2 countries.

Moritz LasséDepartment of Medicine, Christchurch Heart Institute, University of Otago, Christchurch, New Zealand. moritz.lasse@otago.ac.nz.
Anna P PilbrowDepartment of Medicine, Christchurch Heart Institute, University of Otago, Christchurch, New Zealand.
Torsten KleffmannDepartment of Biochemistry, University of Otago, Dunedin, New Zealand.
Elin Andersson ÖverströmDepartment of Medicine, Christchurch Heart Institute, University of Otago, Christchurch, New Zealand.
Anne von ZychlinskiSouthern Community Laboratories Ltd, Dunedin, New Zealand.
Christopher M A FramptonDepartment of Medicine, Christchurch Heart Institute, University of Otago, Christchurch, New Zealand.
Katrina K PoppeSchool of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
Richard W TroughtonDepartment of Medicine, Christchurch Heart Institute, University of Otago, Christchurch, New Zealand.
Lynley K LewisDepartment of Medicine, Christchurch Heart Institute, University of Otago, Christchurch, New Zealand.
Timothy C R PrickettDepartment of Medicine, Christchurch Heart Institute, University of Otago, Christchurch, New Zealand.
Christopher J PembertonDepartment of Medicine, Christchurch Heart Institute, University of Otago, Christchurch, New Zealand.
Arthur M RichardsDepartment of Medicine, Christchurch Heart Institute, University of Otago, Christchurch, New Zealand.
Vicky A CameronDepartment of Medicine, Christchurch Heart Institute, University of Otago, Christchurch, New Zealand.
University of Otago · NZNational University of Singapore · SGSouthern Community Laboratories (New Zealand) · NZUniversity of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify circulating proteins predictive of acute cardiovascular disease events in the general population, we performed a proteomic screen in plasma from asymptomatic individuals. A "Discovery cohort" of 25 individuals who subsequently incurred a cardiovascular event within 3 years (median age = 70 years, 80% male) was matched to 25 controls remaining event-free for > 5 years (median age = 72 years, 80% male). Plasma proteins were assessed by data independent acquisition mass spectrometry (DIA-MS). Associations with cardiovascular events were tested using Cox regression, adjusted for the New Zealand Cardiovascular Risk Score. Concentrations of leading protein candidates were subsequently measured with ELISAs in a larger (n = 151) independent subset. In the Discovery cohort, 76 plasma proteins were robustly quantified by DIA-MS, with 8 independently associated with cardiovascular events. These included (HR = hazard ratio [95% confidence interval] above vs below median): fibrinogen alpha chain (HR = 1.84 [1.19-2.84]); alpha-2-HS-glycoprotein (also called fetuin A) (HR = 1.86 [1.19-2.93]); clusterin isoform 2 (HR = 1.59 [1.06-2.38]); fibrinogen beta chain (HR = 1.55 [1.04-2.30]); hemoglobin subunit beta (HR = 1.49 [1.04-2.15]); complement component C9 (HR = 1.62 [1.01-2.59]), fibronectin isoform 3 (HR = 0.60 [0.37-0.99]); and lipopolysaccharide-binding protein (HR = 1.58 [1.00-2.49]). The proteins for which DIA-MS and ELISA data were correlated, fibrinogen and hemoglobin, were analyzed in an Extended cohort, with broader inclusion criteria and longer time to events, in which these two proteins were not associated with incident cardiovascular events. We have identified eight candidate proteins that may independently predict cardiovascular events occurring within three years in asymptomatic, low-to-moderate risk individuals, although these appear not to predict events beyond three years.

Indexed as

AgedCardiovascular DiseasesCase-Control StudiesEnzyme-Linked Immunosorbent AssayFemaleFibrinogenHeart Disease Risk FactorsHemoglobinsHumansMaleMass SpectrometryPredictive Value of TestsProportional Hazards ModelsFibrinogenHemoglobins

Identifiers

PMID33633217
PMCPMC7907085
OpenAlexW3129373306

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.