Evidence map›Paper›PMID 31911748›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2019

Neurally Adjusted Ventilatory Assist: An Early Clue to Diagnosis of Congenital Central Hypoventilation Syndrome.

Abdul Rauf, Dhiren Gupta, Anil Sachdev, Neeraj Gupta, Suresh Gupta, Praveen Kumar, Ramakant Sabharwal

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PubMed Full text at PMC Publisher
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2019. 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
0.1field-weighted citation impact, top 56% 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, 1 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

7 authors at 1 institution in 1 country.

Abdul RaufDepartment of Pediatrics (Intensive Care), Sir Ganga Ram Hospital, New Delhi, India.
Dhiren GuptaDepartment of Pediatrics (Intensive Care), Sir Ganga Ram Hospital, New Delhi, India.
Anil SachdevDepartment of Pediatrics (Intensive Care), Sir Ganga Ram Hospital, New Delhi, India.
Neeraj GuptaDepartment of Pediatrics (Intensive Care), Sir Ganga Ram Hospital, New Delhi, India.
Suresh GuptaDepartment of Pediatrics (Intensive Care), Sir Ganga Ram Hospital, New Delhi, India.
Praveen KumarDepartment of Pediatrics (Neurology), Sir Ganga Ram Hospital, New Delhi, India.
Ramakant SabharwalDepartment of Pediatrics (Neurology), Sir Ganga Ram Hospital, New Delhi, India.
Sir Ganga Ram Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congenital central hypoventilation syndrome (CCHS) is characterized by shallow breathing during sleep due to negligible ventilatory sensitivity to hypercarbia and hypoxemia. It is diagnosed using a genetic test for PHOX2B mutation, which is not easily available. Neurally adjusted ventilatory assist (NAVA) is a spontaneous ventilatory mode that was designed basically for better adapting the ventilator to the patient by using electrical activity of diaphragm (EAdi) signals. We report a case of a 6-month-old infant who presented with recurrent apneas, where differential decrease in EAdi discharges during sleep using NAVA served as an early clue to the diagnosis of CCHS. Definitive diagnosis was later confirmed by genetic testing. HOW TO CITE THIS ARTICLE: Rauf A, Gupta D, Sachdev A, Gupta N, Gupta S, Kumar P,

Indexed as

Congenital central hypoventilationElectrical activity of diaphragmNeurally adjusted ventilatory assist

Identifiers

PMID31911748
PMCPMC6900881
OpenAlexW3001884261

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.