Evidence map›Paper›PMID 38610784›Full record

ArticleJournal of clinical medicine2024

Effectiveness of Copeptin, MR-proADM and MR-proANP in Predicting Adverse Outcomes, Alone and in Combination with Traditional Severity Scores, a Secondary Analysis in COVID-19 Patients Requiring Intensive Care Admission.

Emanuele Varaldo, Francesca Rumbolo, Nunzia Prencipe, Fabio Bioletto, Fabio Settanni, Giulio Mengozzi, Silvia Grottoli, Ezio Ghigo, Luca Brazzi, Giorgia Montrucchio and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Emanuele VaraldoDivision of Endocrinology, Diabetology and Metabolism, Department of Medical Sciences, University of Turin, 10126 Turin, Italy.
Francesca RumboloClinical Chemistry and Microbiology Laboratory, S. Croce and Carle Cuneo Hospital, 12100 Cuneo, Italy.ORCID 0000-0002-6783-6588
Nunzia PrencipeDivision of Endocrinology, Diabetology and Metabolism, Department of Medical Sciences, University of Turin, 10126 Turin, Italy.
Fabio BiolettoDivision of Endocrinology, Diabetology and Metabolism, Department of Medical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0000-0001-7550-7023
Fabio SettanniDivision of Clinical Biochemistry, Department of Laboratory Medicine, University of Turin, 10126 Turin, Italy.
Giulio MengozziDivision of Clinical Biochemistry, Department of Laboratory Medicine, University of Turin, 10126 Turin, Italy.ORCID 0000-0003-0431-8369
Silvia GrottoliDivision of Endocrinology, Diabetology and Metabolism, Department of Medical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0000-0002-7742-4499
Ezio GhigoDivision of Endocrinology, Diabetology and Metabolism, Department of Medical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0000-0002-2809-8105
Luca BrazziDepartment of Surgical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0000-0001-7059-0622
Giorgia MontrucchioDepartment of Surgical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0000-0001-9341-965X
Alessandro Maria BertonDivision of Endocrinology, Diabetology and Metabolism, Department of Medical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0000-0002-4745-2624

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

adrenomedullinatrial natriuretic peptideCT-proAVPMuLBSTASAPS IISOFA

Identifiers

PMID38610784
PMCPMC11012433

What Socratic 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 Socratic graph.