Evidence map›Paper›PMID 37377635›Full record

ArticleEuropean heart journal open2023

Exploring the link between Gilbert's syndrome and atherosclerotic cardiovascular disease: insights from a subpopulation-based analysis of over one million individuals.

Uri Kartoun, Akl C Fahed, Shinwan Kany, Pulkit Singh, Shaan Khurshid, Aniruddh P Patel, Puneet Batra, Anthony Philippakis, Amit V Khera, Steven A Lubitz and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European heart journal open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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.

Uri KartounCenter for Computational Health, IBM Research, 314 Main St., Cambridge, MA 02142, USA.ORCID https://orcid.org/0000-0003-0988-8037
Akl C FahedCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Shinwan KanyCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Pulkit SinghData Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Shaan KhurshidCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Aniruddh P PatelCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Puneet BatraData Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Anthony PhilippakisCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Amit V KheraCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Steven A LubitzCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Patrick T EllinorCardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Vibha AnandCenter for Computational Health, IBM Research, 314 Main St., Cambridge, MA 02142, USA.
Kenney NgCenter for Computational Health, IBM Research, 314 Main St., Cambridge, MA 02142, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

ASCVDGilbert’s syndromePrediction modellingProtective effect

Identifiers

PMID37377635
PMCPMC10291878

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.