Evidence map›Paper›PMID 38796180›Full record

Trial reportRMD open2024

Pronounced benefits of JAK inhibition with baricitinib in COVID-19 pneumonia in obese but not lean subjects.

Paula David, Or Hen, Niv Ben-Shabbat, Tom Macleod, Howard Amital, Abdulla Watad, Dennis G McGonagle

Abstract readRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report in RMD open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Paula DavidLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.ORCID 0000-0003-0075-5895
Or HenLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.
Niv Ben-ShabbatInternal Medicine B, Sheba Medical Center, Tel Hashomer, Israel.
Tom MacleodLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.
Howard AmitalInternal Medicine B, Sheba Medical Center, Tel Hashomer, Israel.
Abdulla WatadLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.
Dennis G McGonagleLeeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK d.g.mcgonagle@leeds.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveObesity and age are strongly linked to severe COVID-19 pneumonia where immunomodulatory agents including Janus kinase inhibitors have shown benefits but the efficacy of such therapy in viral pneumonia is not well understood. We evaluated the impact of obesity and age on survival following baricitinib therapy for severe COVID-19.

methodsA post hoc analysis of the COV-BARRIER multicentre double-blind randomised study of baricitinib versus placebo (PBO) with an assessment of 28-day mortality was performed. All-cause mortality by day 28 was evaluated in a Cox regression analysis (adjusted to age) in three different groups according to body mass index (BMI) (<25 kg/m

resultsIn the high BMI group (>25 kg/m

conclusionThe efficacy of baricitinib in COVID-19 pneumonia is linked to obesity suggesting that immunomodulatory therapy benefit is associated with obesity-associated inflammation.

Indexed as

AzetidinesBody Mass IndexCOVID-19ObesityPurinesPyrazolesSARS-CoV-2SulfonamidesAgedCOVID-19 Drug TreatmentDouble-Blind MethodFemaleHumansJanus Kinase InhibitorsMaleMiddle AgedAzetidinesbaricitinibJanus Kinase InhibitorsPurinesPyrazolesSulfonamidesCOVID-19mortalitythrombosis

Identifiers

PMID38796180
PMCPMC11129021

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.