ArticleJournal of family medicine and primary care2021
Clinico demographic profiling of the
Article in Journal of family medicine and primary care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Clinico-Virological Profile of Children with Severe Acute Respiratory Illness.Indian journal of pediatrics · 2026Article
- Survey of Practice Variations in Management of Acute Viral Bronchiolitis in India (PRERNI-PAVB Survey).Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026Article
- Clinical Profile, Intensive Care Needs, and Outcome of Children with Adenoviral Pneumonia: A Retrospective Study from a Tertiary Care Hospital in North India.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2025Article
- Clinico-demographic Profile and Predictors of Intensive Care Need in Children with Respiratory Syncytial Virus-associated Acute Lower Respiratory Illness during Its Recent Outbreak alongside Ongoing COVID-19 Pandemic: An Eastern Indian Perspective.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcute bronchiolitis is fatal disease involving lower respiratory tract of infants and children of paediatric age group. Respiratory Syncytial Virus (RSV) is responsible for causing more than 70% hospital admissions of children aged less than 2 years thus making a necessity for accurate and timely diagnosis.
aimsThe main aim of study was clinicodemographic correlation of RSV positive children presenting to our tertiary care hospital. SETTING AND
designIt is a retrospective study done between December to January 2018. MATERIALS AND
methodsDetection of RSV antigen from nasophyrangeal aspirates using Mouse Monoclonal anti RSV Antibody (by Novatetra) and Goat Anti Mouse Antibody conjugated with FITC as secondary antibody.
resultsA total of 147 samples were received in the laboratory and 20 were tested as positive for RSV Antigen. Totally, 19/20 children were aged less than 1 year and with a male predominance. The most common symptom was cough and respiratory distress. Eight percent of the children showed wheezing and 18/20 required assisted ventilation. The clinical course in one child deteriorated leading to death of that patient.
conclusionsThe timely diagnosis and management of RSV infected children is utmost needed to prevent morbidity and mortality. The premorbid conditions can assist to differentiate the viral from bacterial pneumonia and thus enable speedy recovery of the child.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.