Evidence map›Paper›PMID 35435272›Full record

SynthesisJournal of clinical laboratory analysis2022

Anakinra treatment efficacy in reduction of inflammatory biomarkers in COVID-19 patients: A meta-analysis.

Zunaira Naveed, Musharraf Sarwar, Zahid Ali, Danish Saeed, Khadija Choudhry, Azza Sarfraz, Zouina Sarfraz, Miguel Felix, Ivan Cherrez-Ojeda

Abstract readMeta-Analysis
In one paragraph

Synthesis in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Drugs for COVID-19: An Update.Molecules (Basel, Switzerland) · 2022
    Review
  11. Role of Innate and Adaptive Cytokines in the Survival of COVID-19 Patients.International journal of molecular sciences · 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

9 authors.

Zunaira NaveedFatima Jinnah Medical University, Lahore, Pakistan.
Musharraf SarwarUniversity College of Medicine and Dentistry, Lahore, Pakistan.
Zahid AliKyrgyz State Medical Academy, Bishkek, Kyrgyzstan.
Danish SaeedShaikh Khalifa Bin Zayed Al-Nahyan Medical and Dental College, Lahore, Pakistan.
Khadija ChoudhryFatima Jinnah Medical University, Lahore, Pakistan.
Azza SarfrazThe Aga Khan University, Karachi, Pakistan.ORCID https://orcid.org/0000-0001-8206-5745
Zouina SarfrazFatima Jinnah Medical University, Lahore, Pakistan.ORCID https://orcid.org/0000-0002-5132-7455
Miguel FelixUniversidad Espíritu Santo, Samborondón, Ecuador.
Ivan Cherrez-OjedaUniversidad Espíritu Santo, Samborondón, Ecuador.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAnakinra is being empirically considered for the treatment of COVID-19 patients. The aim is to assess the efficacy of anakinra treatment on inflammatory marker reduction, including c-reactive protein (CRP) concentrations, serum ferritin, and serum d-dimer levels.

methodsAdhering to PRISMA 2020 statement guidelines, a systematic search was conducted across the following databases from December 2019 until January 10, 2022: PubMed/MEDLINE, Cochrane Central, Web of Science, Scopus, and EMBASE. The following keywords were employed: Anakinra, COVID*, SARS-CoV-2, inflammatory, CRP, D-dimer, Ferritin, hematological, laboratory, clinical, trials. The findings were collated and presented in a tabulated manner, and statistically analyzed using Review Manger 5.4 (Cochrane).

resultsIn total, 2032 patients were included (881 in the anakinra and 1151 in the control/standard care group); 69.1% of them were males. Overall, the mean difference from admission until last follow-up in CRP values was -9.66, where notable reductions were seen in the anakinra group (SMD = -0.46, p < 0.00001, N = 655). Serum ferritin mean values were reduced by 1467.16 in the anakinra group (SMD = -0.31, p = 0.004, N = 537). D-dimer mean values were largely reduced by 4.04 in the anakinra group (SMD = -0.38, p = 0.0004, N = 375).

conclusionThis study finds that anakinra is potentially a strong candidate as an anti-inflammatory agent to reduce mortality in COVID-19 patients, specifically in patients with elevated inflammatory biomarkers.

Indexed as

COVID-19 Drug TreatmentBiomarkersC-Reactive ProteinFemaleFerritinsHumansInterleukin 1 Receptor Antagonist ProteinMaleSARS-CoV-2Treatment OutcomeBiomarkersC-Reactive ProteinFerritinsInterleukin 1 Receptor Antagonist Proteinacute-phase reactantanakinrac-reactive proteind-dimerinterleukin-1serum ferritin

Identifiers

PMID35435272
PMCPMC9110982

What OpenQuestion holds

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LicenceCC BY-NC
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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.