Evidence map›Paper›PMID 33370956›Full record

ArticleBMJ case reports2020

COVID-19 with dengue shock syndrome in a child: coinfection or cross-reactivity?

Lokesh Tiwari, Shashank Shekhar, Anmol Bansal, Pradeep Kumar

Open access · greenAbstract readCase Reports
In one paragraph

Article in BMJ case reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

8 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Observational
  7. Observational
  8. 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

4 authors at 1 institution in 1 country.

Lokesh TiwariDepartment of Pediatrics, All India Institute of Medical Sciences Patna, Patna, Bihar, India lokeshdoc@yahoo.com.ORCID http://orcid.org/0000-0002-2231-0152
Shashank ShekharDepartment of Pediatrics, All India Institute of Medical Sciences Patna, Patna, Bihar, India.
Anmol BansalDepartment of Pediatrics, All India Institute of Medical Sciences Patna, Patna, Bihar, India.
Pradeep KumarDepartment of Pediatrics, All India Institute of Medical Sciences Patna, Patna, Bihar, India.
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19, caused by SARS-CoV-2, has spread globally. Coinfection with other endemic viruses is likely to complicate the clinical presentation and outcome. Information on clinical manifestations and management strategies on COVID-19 coinfection with endemic diseases in children is yet to evolve. The risk of dengue infection exists in 129 countries and it is endemic in more than 100 countries. The SARS-CoV-2 pandemic might overlap with the dengue epidemics in tropical countries. We report the first paediatric case to the best of our knowledge of COVID-19 encephalitis with dengue shock syndrome. This clinical syndrome could be attributed to serological cross-reactivity, incidental coinfection or perhaps a warning for dengue-endemic regions to face the unique challenge of differentiating and managing two disease entities together. Enhanced understanding of potential COVID-19 and dengue coinfection warrants immediate attention of researchers and international health policy makers.

Indexed as

PandemicsAdolescentAntibodies, ViralCoinfectionCOVID-19Dengue VirusFemaleHumansSARS-CoV-2Severe DengueTomography, X-Ray ComputedAntibodies, Viralcoma and raised intracranial pressureglobal healthinfluenzapaediatric intensive caretropical medicine (infectious disease)

Identifiers

PMID33370956
PMCPMC10577720
OpenAlexW3113889831

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.