Evidence map›Paper›PMID 34184073›Full record

ReviewMolecular medicine reports2021

Dysregulated inflammation may predispose patients with serious mental illnesses to severe COVID‑19 (Review).

Sergej Nadalin, Hrvoje Jakovac, Vjekoslav Peitl, Dalibor Karlović, Alena Buretić-Tomljanović

Abstract readReview
In one paragraph

Review in Molecular medicine reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

5 authors.

Sergej NadalinDepartment of Medical Biology and Genetics, Faculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia.
Hrvoje JakovacDepartment of Physiology and Immunology, Faculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia.
Vjekoslav PeitlDepartment of Psychiatry, Sestre Milosrdnice University Hospital Center and Catholic University of Croatia, 10000 Zagreb, Croatia.
Dalibor KarlovićDepartment of Psychiatry, Sestre Milosrdnice University Hospital Center and Catholic University of Croatia, 10000 Zagreb, Croatia.
Alena Buretić-TomljanovićDepartment of Medical Biology and Genetics, Faculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic and nongenetic factors associated with an increased inflammatory response may mediate a link between severe coronavirus disease 2019 (COVID‑19) and serious mental illness (SMI). However, systematic assessment of inflammatory response‑related factors associated with SMI that could influence COVID‑19 outcomes is lacking. In the present review, dietary patterns, smoking and the use of psychotropic medications are discussed as potential extrinsic risk factors and angiotensin‑converting enzyme (ACE) insertion/deletion (I/D) gene polymorphisms are considered as potential intrinsic risk factors. A genetics‑based prediction model for SMI using ACE‑I/D genotyping is also proposed for use in patients experiencing severe COVID‑19. Furthermore, the literature suggests that ACE inhibitors may have protective effects against SMI or severe COVID‑19, which is often linked to hypertension and other cardiovascular comorbidities. For this reason, we hypothesize that using these medications to treat patients with severe COVID‑19 might yield improved outcomes, including in the context of SMI associated with COVID‑19.

Indexed as

ComorbidityCOVID-19Disease SusceptibilityHumansInflammationMental DisordersRisk FactorsSARS-CoV-2angiotensin‑converting enzymecoronavirus disease 2019dietinflammationpsychotropic drugsserious mental illnesssmoking

Identifiers

PMID34184073
PMCPMC8258463

What OpenQuestion holds

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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.