Evidence map›Paper›PMID 33737128›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2021

The effect of tocilizumab, anakinra and prednisolone on antibody response to SARS-CoV-2 in patients with COVID-19: A prospective cohort study with multivariate analysis of factors affecting the antibody response.

Seniha Başaran, Serap Şimşek-Yavuz, Sevim Meşe, Atahan Çağatay, Alpay Medetalibeyoğlu, Oral Öncül, Halit Özsüt, Ali Ağaçfidan, Ahmet Gül, Haluk Eraksoy

Open access · goldAbstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Current evidence on the use of anakinra in COVID-19.International immunopharmacology · 2022
    Review
  6. Article
  7. Review
  8. Article
  9. 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

10 authors at 1 institution in 1 country.

Seniha BaşaranDepartment of Infectious Diseases and Clinical Microbiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey. Electronic address: senihabasaran@yahoo.com.
Serap Şimşek-YavuzDepartment of Infectious Diseases and Clinical Microbiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Sevim MeşeDepartment of Medical Microbiology, Division of Virology and Fundamental Immunology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Atahan ÇağatayDepartment of Infectious Diseases and Clinical Microbiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Alpay MedetalibeyoğluDepartment of Internal Medicine, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Oral ÖncülDepartment of Infectious Diseases and Clinical Microbiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Halit ÖzsütDepartment of Infectious Diseases and Clinical Microbiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Ali AğaçfidanDepartment of Medical Microbiology, Division of Virology and Fundamental Immunology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Ahmet GülDepartment of Rheumatology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Haluk EraksoyDepartment of Infectious Diseases and Clinical Microbiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Istanbul University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDisease severity, previous medications and immunosuppressive agents could affect the antibody response against SARS-CoV-2. This study aimed to analyze variables affecting the humoral response to SARS-CoV-2.

methodsThis prospective cohort study included adult patients who recovered from COVID-19 and were admitted to a COVID-19 follow-up unit. Eight patient groups were defined in accordance with the results of thoracic computed tomography (CT), SARS-CoV-2 PCR test, and tocilizumab or anakinra use during active disease. Anti-S IgG antibodies were determined by ELISA in serum samples. Anti-S positive and negative cases were compared.

resultsA total of 518 patients were included in the study. SARS-CoV-2 IgG antibodies were positive in 82.8% of patients. SARS-CoV-2 PCR positivity, extent of lung involvement on CT, and time to antibody testing were independently associated with antibody positivity. Tocilizumab, anakinra or prednisolone use was not a factor affecting the antibody response. The rate of antibody response and sample/CO values among antibody-positive patients showed a linear relationship with the extent of lung involvement on CT.

conclusionsThe use of tocilizumab, anakinra and prednisolone for COVID-19 did not affect the antibody response against SARS-CoV-2. The main driver of antibody response among patients with COVID-19 was the extent of pulmonary involvement on CT.

Indexed as

COVID-19 Drug TreatmentAntibodies, Monoclonal, HumanizedAntibodies, ViralCohort StudiesDrug Therapy, CombinationFemaleHumansImmunoglobulin GInterleukin 1 Receptor Antagonist ProteinMaleMiddle AgedMultivariate AnalysisPrednisoloneProspective StudiesSARS-CoV-2Severity of Illness IndexAntibodies, Monoclonal, HumanizedAntibodies, ViralImmunoglobulin GInterleukin 1 Receptor Antagonist ProteinPrednisolonetocilizumabAnakinraAntibodyPrednisoloneSARS-CoV-2Tocilizumab

Identifiers

PMID33737128
PMCPMC7959682
OpenAlexW3137695013

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.