Evidence map›Paper›PMID 36876207›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2022

Comparison of Anakinra and Tocilizumab in Anticytokine Therapy in the Treatment of Coronavirus Disease-2019.

Feyza Ozkan, Süleyman Sari

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2022. 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
0.2field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Anti-cytokine Therapy in Hospitalized Patients with COVID-19: The Jury is Out.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2022
    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

2 authors at 1 institution in 1 country.

Feyza OzkanDepartment of Anesthesiology and Reanimation, Yozgat City Hospital, Yozgat, Turkey.ORCID https://orcid.org/0000-0003-0644-2670
Süleyman SariDepartment of Anesthesiology and Reanimation, Yozgat City Hospital, Yozgat, Turkey.ORCID https://orcid.org/0000-0002-5207-041X
Bozok Universitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: It is known that coronavirus disease-2019 (COVID-19) pneumonia causes cytokine storm, and treatment modalities are being developed on inhibition of proinflammatory cytokines. We aimed to investigate the effects of anticytokine therapy on clinical improvement and the differences between anticytokine treatments. Materials and methods: A total of 90 patients with positive COVID-19 polymerase chain reaction (PCR) test were divided into three groups, group I ( Results: The seventh-day mortality rates were 6.7% in group II, 23.3% in group I, and 16.7% in group III. In group II, the ferritin levels on the 7th and 14th days were significantly lower ( Conclusion: We observed the positive effects of the use of tocilizumab on clinical improvement in the early period; mechanical ventilation requirement was delayed and at a lower rate. Anakinra treatment did not change mortality and PaO How to cite this article: Ozkan F, Sari S. Comparison of Anakinra and Tocilizumab in Anticytokine Therapy in the Treatment of Coronavirus Disease-2019. Indian J Crit Care Med 2022;26(10):1091-1098.

Indexed as

AnakinraCoronavirus disease-2019CytokineTocilizumab

Identifiers

PMID36876207
PMCPMC9983662
OpenAlexW4298141645

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.