Evidence map›Paper›PMID 39710927›Full record

ReviewInfectious disorders drug targets2025

Annual SZ: An Alternative Immunotherapy for COVID-19 and Long COVID.

Fatemeh Heidari, Faranak Farahighasreaboonasr, Zuhair Mohammad Hassan, Pooria Fazeli, Maryam Hosseini, Masoumeh Ebtekar

Abstract readReview
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In one paragraph

Review in Infectious disorders drug targets, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Fatemeh HeidariDepartment of Immunology, Faculty of Medical Sciences, Tarbiat Modarres University, Tehran, Iran.
Faranak FarahighasreaboonasrDepartment of Biology, Zand Institute of Higher Education, Shiraz, Iran.
Zuhair Mohammad HassanDepartment of Immunology, Faculty of Medical Sciences, Tarbiat Modarres University, Tehran, Iran.
Pooria FazeliTruama Research Center, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran.
Maryam HosseiniTruama Research Center, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran.
Masoumeh EbtekarDepartment of Immunology, Faculty of Medical Sciences, Tarbiat Modarres University, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the outbreak of coronavirus disease 2019 (COVID-19) in late 2019 and early 2020, the identification of drugs to control severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and its symptoms has been a pressing focus of research. Cytokine storm and acute respiratory distress syndrome (ARDS) are the leading causes of mortality following infection. In this review, we discuss immune pathogenesis and four medications, including Remdesivir, Tocilizumab, Dexamethasone, and Annual SZ for COVID-19. A comparison of the effectiveness and therapeutic usage of drugs as reported in clinical trials and reports was made at different disease levels as well. Clinical studies indicate that Annual SZ with mild side effects was more affordable and might be more effective than other medications. Additionally, Annual SZ was capable of reducing the levels of pro-inflammatory cytokines as well as viral attachment and RNA replication.

Indexed as

Antiviral AgentsCOVID-19 Drug TreatmentImmunotherapyAdenosine MonophosphateAlanineAntibodies, Monoclonal, HumanizedCOVID-19Cytokine Release SyndromeDexamethasoneHumansSARS-CoV-2Adenosine MonophosphateAlanineAntibodies, Monoclonal, HumanizedAntiviral AgentsDexamethasoneremdesivirtocilizumabAnnual SZARDs.COVID-19drugimmunopathologyinflammationSARS-CoV-2

Identifiers

What OpenQuestion holds

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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.