Evidence map›Paper›PMID 36072696›Full record

ArticleOpen forum infectious diseases2022

Mid-regional Proadrenomedullin Biomarker Predicts Coronavirus Disease 2019 Clinical Outcomes: A US-Based Cohort Study.

Natalie J Atallah, Vahe S Panossian, Christine J Atallah, Andrej Schwabe, Sascha Johannes, Jan Wiemer, Michael K Mansour

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 56% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  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 at 4 institutions in 3 countries.

Natalie J AtallahDivision of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, USA.
Vahe S PanossianFaculty of Medicine, American University of Beirut Medical Center, Beirut, Lebanon.ORCID https://orcid.org/0000-0001-8085-1021
Christine J AtallahFaculty of Medicine, University of Balamand, Beirut, Lebanon.ORCID https://orcid.org/0000-0001-9393-4280
Andrej SchwabeB·R·A·H·M·S GmbH, part of Thermo Fisher Scientific, Hennigsdorf, Germany.
Sascha JohannesB·R·A·H·M·S GmbH, part of Thermo Fisher Scientific, Hennigsdorf, Germany.
Jan WiemerB·R·A·H·M·S GmbH, part of Thermo Fisher Scientific, Hennigsdorf, Germany.
Michael K MansourDivision of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0001-8892-8695
Thermo Fisher Scientific (Germany) · DEHarvard University · USAmerican University of Beirut Medical Center · LBUniversity of Balamand · LB

Funding

The role of spleen tyrosine kinase (syk) in neutrophil responses to pathogenic fungi.R01AI132638 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI MANSOUR, MICHAEL K · 2018 to 2021
$1.6M
NIAID NIH HHS R01 AI132638
6 · The paper itself

Abstract

Background: Mid-regional proadrenomedullin (MR-proADM) is a biomarker released following endothelial damage. Studies have shown a correlation in predicting coronavirus disease 2019 (COVID-19) outcomes with MR-proADM levels. Our study aimed to investigate baseline MR-proADM as a predictor of a wider range of clinical outcomes of varying severity in patients admitted with COVID-19, and to compare to other biomarkers. Methods: Data from the Boston Area COVID-19 Consortium (BACC) Bay Tocilizumab Trial was used in this study. Patients with biomarker determinations, and not admitted to the intensive care unit (ICU) on admission, were included. MR-proADM cutoff of 0.87 nmol/L was assessed in predicting clinical outcomes. Results: Of 182 patients, 11.0% were mechanically ventilated or dead within 28 days. Of patients with MR-proADM >0.87 nmol/L, 21.1% were mechanically ventilated or dead within 28 days, compared with 4.5% of those with MR-proADM ≤0.87 nmol/L ( Conclusions: MR-proADM functions as a valuable biomarker for the early risk stratification and detection of severe disease progression of patients with COVID-19. In the prediction of death, MR-proADM performed better compared to many other commonly used biomarkers.

Indexed as

biomarkersCOVID-19ICUMR-proADMviral pneumonia

Identifiers

PMID36072696
PMCPMC9439577
OpenAlexW4292851262

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.