Evidence map›Paper›PMID 27275488›Full record

ArticleAnnals of translational medicine2016

Successful management of H1N1 related severe acute respiratory distress syndrome with noninvasive positive pressure ventilation.

Karim Abdel Hakim, Abdulla Ismaeel Mohamed, Anis Chaari, Fatima N Abulfateh, Khalid A Alshaikh, William Francis Casey

Open access · hybridAbstract readCase Reports
In one paragraph

Article in Annals of translational medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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.

Karim Abdel HakimDepartment of Intensive Care, King Hamed University Hospital, Al Muharaq, Kingdom of Bahrain.
Abdulla Ismaeel MohamedDepartment of Intensive Care, King Hamed University Hospital, Al Muharaq, Kingdom of Bahrain.
Anis ChaariDepartment of Intensive Care, King Hamed University Hospital, Al Muharaq, Kingdom of Bahrain.
Fatima N AbulfatehDepartment of Intensive Care, King Hamed University Hospital, Al Muharaq, Kingdom of Bahrain.
Khalid A AlshaikhDepartment of Intensive Care, King Hamed University Hospital, Al Muharaq, Kingdom of Bahrain.
William Francis CaseyDepartment of Intensive Care, King Hamed University Hospital, Al Muharaq, Kingdom of Bahrain.
King Hamad University Hospital · BH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute respiratory distress syndrome (ARDS) is a life threatening complication of H1N1 pneumonia. According to the Berlin conference guidelines, severe ARDS requires management with early invasive mechanical ventilation. Whether noninvasive positive pressure ventilation (NIPPV) should be attempted in patients with H1N1 pneumonia is still a matter of debate. We report the case of one patient with severe ARDS without other organ failure. The patient was managed successfully using NIPPV. Endotracheal intubation was avoided and the patient was discharged from the intensive care unit (ICU) after 10 days with a successful outcome. NIPPV can be useful in patients with isolated severe H1N1 ARDS provided early improvement of the oxygenation parameters is achieved. Patients with multiple organ failure or with persistent severe hypoxemia under noninvasive ventilation should be electively intubated and started on invasive mechanical ventilation.

Indexed as

Acute respiratory distress syndrome (ARDS)H1N1 pneumonianoninvasive positive pressure ventilation (NIPPV)

Identifiers

PMID27275488
PMCPMC4876280
OpenAlexW2398714962

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.