Evidence map›Paper›PMID 34276173›Full record

ArticleInfectious diseases in clinical practice (Baltimore, Md.)2021

Tocilizumab for Severe and Critical COVID-19 Pneumonia in Queens, NYC.

Carlos Salama, Emma Kaplan-Lewis, Richard Durrance, Linda Wong, Vasanthi Arumugam, Marilyn Fabbri

Open access · greenAbstract read
In one paragraph

Article in Infectious diseases in clinical practice (Baltimore, Md.), 2021. 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
0.3field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Tocilizumab and SARS-CoV-2 (COVID-19): An Evolving Story, the Picture Is Clearer.Infectious diseases in clinical practice (Baltimore, Md.) · 2021
    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

6 authors at 1 institution in 1 country.

Carlos SalamaElmhurst Hospital Center, NYC Health and Hospitals, Queens.
Emma Kaplan-LewisElmhurst Hospital Center, NYC Health and Hospitals, Queens.
Richard DurranceElmhurst Hospital Center, NYC Health and Hospitals, Queens.
Linda WongElmhurst Hospital Center, NYC Health and Hospitals, Queens.
Vasanthi ArumugamElmhurst Hospital Center, NYC Health and Hospitals, Queens.
Marilyn FabbriElmhurst Hospital Center, NYC Health and Hospitals, Queens.
Elmhurst Hospital Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New York City was hard hit by COVID-19. Elmhurst Hospital is a public hospital in Queens where more than 1500 patients were hospitalized with COVID. During the pandemic, various treatments were used with hopes of reducing the need for mechanical ventilation and death.

methodsWe retrospectively reviewed charts of patients admitted from March 25 to April 3 with severe or critical COVID-19 pneumonia who received tocilizumab compared with a similar cohort who did not. Analyses were performed to determine differences in outcomes.

resultsThere was no observed difference in need for mechanical ventilation, length of stay, or mortality rate. In the tocilizumab-treated group, mechanical ventilation rate was 55%, and 49% of patients died. In the control group, 54% required mechanical ventilation and 46% died. Tocilizumab was overall well tolerated, although alanine aminotransferase elevation was more common in the tocilizumab-treated group.

conclusionsTocilizumab failed to show short-term benefits in clinical outcomes in patients with hypoxic COVID pneumonia at our institution.

Indexed as

COVID-19COVID pneumoniacytokine release syndrometocilizumab

Identifiers

PMID34276173
PMCPMC8270230
OpenAlexW3122829811

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.