Evidence map›Paper›PMID 33865882›Full record

ReviewLife sciences2021

Risk factors for adverse outcomes of COVID-19 patients: Possible basis for diverse responses to the novel coronavirus SARS-CoV-2.

Mahnaz Ghaebi, Safa Tahmasebi, Maryam Jozghorbani, Alireza Sadeghi, Lakshmi Thangavelu, Angelina Olegovna Zekiy, Abdolreza Esmaeilzadeh

Open access · greenAbstract readReview
In one paragraph

Review in Life sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

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  3. CAR-NKT Cells in Asthma: Use of NKT as a Promising Cell for CAR Therapy.Clinical reviews in allergy & immunology · 2024
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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.

Mahnaz GhaebiDepartment of Immunology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran; Department of Immunology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.
Safa TahmasebiDepartment of Immunology, Health Faculty, Tehran University of Medical Sciences, Tehran, Iran.
Maryam JozghorbaniDepartment of Clinical Biochemistry, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.
Alireza SadeghiDepartment of Internal Medicine, Vali-e-Asr Hospital, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.
Lakshmi ThangaveluDepartment of Pharmacology, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India.
Angelina Olegovna ZekiyDepartment of Prosthetic Dentistry, Sechenov First Moscow State Medical University, Moscow, Russia.
Abdolreza EsmaeilzadehDepartment of Immunology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran; Cancer Gene Therapy Research Center, Zanjan University of Medical Sciences, Zanjan, Iran. Electronic address: A46reza@zums.ac.ir.
Zanjan University of Medical Sciences · IRSaveetha University · INSechenov University · RUTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe coronavirus disease 2019 (COVID-19) caused by the Severe Acute Respiratory Syndrome coronavirus 2 (SARS-CoV-2) is characterized by an unpredictable disease course, with variable presentations of different organ systems. The clinical manifestations of COVID-19 are highly variable ranging from mild presentations to severe, life-threatening symptoms and the wide individual variability may be due to the broad heterogeneity in the underlying pathologies. There is no doubt that early management may have a major influence on the outcome. This led the scientists to search for ways to monitor disease progression or to predict outcomes in COVID-19. Although it is not yet possible to predict who will progress to the severe forms or in what time, numerous prospective and longitudinal studies represent the evidence for determining the potential immunological risk factors of COVID-19 critical disease and death. The kinetics and breadth of immune responses during COVID-19 appear to follow a trend which is consistent to the predominant pathological alterations. Recent publications have used these biomarkers to help identify patients who will develop the severe acute COVID-19. Of particular interest is the relationship between the kinetics of peripheral leukocytes and clinical progress of the disease in COVID-19. Although research is ongoing in this area, we present details about the current status of the evaluation. Understanding of the COVID-19 related alterations of the innate and adaptive immune responses may help to promote the vaccine development and immunological interventions.

Indexed as

COVID-19Disease ProgressionHumansImmunity, CellularImmunity, InnateImmunotherapyLeukocyte CountLeukocytesMacrophagesRisk FactorsSARS-CoV-2T-Lymphocytes2019 novel coronavirus disease (COVID-19)Disease progressionFatal outcomeImmune response kineticsLeukocyteLymphocyteSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)

Identifiers

PMID33865882
PMCPMC8046708
OpenAlexW3154618299

What OpenQuestion holds

Textmetadata
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.