Evidence map›Paper›PMID 36791034›Full record

ArticleSarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG2022

Routine Laboratory Biomarkers As Prognostic Indicators of Cardiac Sarcoidosis Outcomes.

Nikhil Kolluri, Tyler J Schmidt, Mohamed Y Elwazir, Suraj Kapa, Omar F Abou Ezzeddine, John P Bois, John A Schirger, Andrew N Rosenbaum, Leslie T Cooper

Open access · greenAbstract read
In one paragraph

Article in Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

7 citing papers in PubMed, 6 citations in OpenAlex.

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  4. Observational
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  7. Exploring the latest advances inAmerican journal of nuclear medicine and molecular imaging · 2024
    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

9 authors at 1 institution in 1 country.

Nikhil KolluriDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Tyler J SchmidtDepartment of Internal Medicine, Mayo Clinic, Rochester, MN.
Mohamed Y ElwazirDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Suraj KapaDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Omar F Abou EzzeddineDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
John P BoisDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
John A SchirgerDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Andrew N RosenbaumDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Leslie T CooperDepartment of Cardiovascular Medicine (Dr Cooper), Mayo Clinic, Jacksonville, FL.
Mayo Clinic in Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Biomarkers to monitor disease activity and predict major adverse cardiac events (MACE) in CS have not been described previously. We aimed to identify biomarkers to predict MACE in cardiac sarcoidosis (CS). Methods: Patients (N=232) diagnosed with CS were retrospectively enrolled. Biomarkers including angiotensin-converting enzyme (ACE), N-terminal brain natriuretic peptide (NT-proBNP), troponin T, and creatinine levels were evaluated against a primary end point of left ventricular assist device implantation, heart transplantation, or death, and a secondary end point of cardiac hospitalization-free survival. Results: Troponin T (hazard ratio [HR], 1.06 per 0.01 ng/mL; Conclusions: Troponin T, NT-proBNP, and creatinine predict clinically significant outcomes in CS. ACE levels correlated with LGE on CMR, and 1,25-OHVit-D levels correlated with FDG-PET activity.

Indexed as

biomarkerscardiac sarcoidosisheart transplantLVADsarcoidosis

Identifiers

PMID36791034
PMCPMC9766851
OpenAlexW4320856539

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.