Evidence map›Paper›PMID 39336552›Full record

ArticleMedicina (Kaunas, Lithuania)2024

PREVENT Equation: The Black Sheep among Cardiovascular Risk Scores? A Comparative Agreement Analysis of Nine Prediction Models in High-Risk Lithuanian Women.

Petras Navickas, Laura Lukavičiūtė, Sigita Glaveckaitė, Arvydas Baranauskas, Agnė Šatrauskienė, Jolita Badarienė, Aleksandras Laucevičius

Abstract readComparative Study
In one paragraph

Article in Medicina (Kaunas, Lithuania), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Observational
  2. Review
  3. Article
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

7 authors.

Petras NavickasFaculty of Medicine, Institute of Clinical Medicine, Vilnius University, 03101 Vilnius, Lithuania.ORCID 0000-0002-0978-0571
Laura LukavičiūtėFaculty of Medicine, Institute of Clinical Medicine, Vilnius University, 03101 Vilnius, Lithuania.
Sigita GlaveckaitėFaculty of Medicine, Institute of Clinical Medicine, Vilnius University, 03101 Vilnius, Lithuania.ORCID 0000-0002-5291-9954
Arvydas BaranauskasFaculty of Medicine, Institute of Clinical Medicine, Vilnius University, 03101 Vilnius, Lithuania.
Agnė ŠatrauskienėFaculty of Medicine, Institute of Clinical Medicine, Vilnius University, 03101 Vilnius, Lithuania.
Jolita BadarienėFaculty of Medicine, Institute of Clinical Medicine, Vilnius University, 03101 Vilnius, Lithuania.
Aleksandras LaucevičiusState Research Institute Centre for Innovative Medicine, 08410 Vilnius, Lithuania.ORCID 0000-0002-8642-1441

Funding

Charity Fund Future Biomedicine Fund JŠ-3441Gediminas Gruodis donation allocated in a public institution Informeda N/A
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Cardiovascular DiseasesAdultAgedCross-Sectional StudiesFemaleHeart Disease Risk FactorsHumansLithuaniaMiddle AgedRisk AssessmentRisk Factorscardiovascular diseasesinter-model agreementrisk prediction modelswomen’s health

Identifiers

PMID39336552
PMCPMC11434335

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.