Evidence map›Paper›PMID 33782066›Full record

ArticleBMJ case reports2021

One hundred eighteen days on a ventilator: a COVID-19 success story against all odds.

Germaine Chia, Hannah Barrett, Parind Patel, Sanooj Soni

Open access · bronzeAbstract readCase Reports
In one paragraph

Article in BMJ case reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 3 institutions in 1 country.

Germaine ChiaCentre for Perioperative Medicine and Critical Care Research, Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK.
Hannah BarrettCentre for Perioperative Medicine and Critical Care Research, Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK.
Parind PatelCentre for Perioperative Medicine and Critical Care Research, Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK.
Sanooj SoniCentre for Perioperative Medicine and Critical Care Research, Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK s.soni@imperial.ac.uk.
Imperial College Healthcare NHS Trust · GBHammersmith Hospital · GBImperial College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging data suggest that patients with certain comorbidities requiring intensive care unit (ICU) admission for COVID-19 have a poor prognosis. This report describes a case of a patient with multiple comorbidities who contracted COVID-19 pneumonitis but was successfully weaned off invasive mechanical ventilation after 118 days, despite his admission being complicated by recurrent septic episodes and requirement for advanced cardiovascular support and renal replacement therapy. Of note, our patient received three courses of steroids in total during his ICU stay,and current literature strongly supports the use of steroids in critically unwell patients with COVID-19. To the best of our knowledge, this is the longest reported ventilated time and intensive care/hospital stay for a surviving patient with COVID-19 and highlights the importance of allowing sufficient time for clinical interventions to take effect, even when the prognosis appears bleak.

Indexed as

Respiration, ArtificialAnti-Infective AgentsComorbidityCOVID-19HumansMaleMiddle AgedPneumoniaRenal Replacement TherapySepsisSteroidsUnited KingdomVentilators, MechanicalVentilator WeaningAnti-Infective AgentsSteroidsadult intensive caremechanical ventilation

Identifiers

PMID33782066
PMCPMC8009212
OpenAlexW3148730174

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.