Evidence map›Paper›PMID 23505602›Full record

ArticleMediterranean journal of hematology and infectious diseases2013

Factors predicting severe dengue in patients with dengue Fever.

Muhammad Imran Hasan Khan, Eram Anwar, Adnan Agha, Noha Saleh Mohamed Hassanien, Ehsan Ullah, Imran Ali Syed, Arsalan Raja

Open access · goldAbstract read
In one paragraph

Article in Mediterranean journal of hematology and infectious diseases, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 28 citations in OpenAlex.

  1. Trial
  2. Article
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  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. An Evidence-Based Algorithm for Early Prognosis of Severe Dengue in the Outpatient Setting.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2017
    Article
  11. Mathematical Modelling of Immune Parameters in the Evolution of Severe Dengue.Computational and mathematical methods in medicine · 2017
    Article
  12. Review
  13. 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

7 authors at 4 institutions in 4 countries.

Muhammad Imran Hasan KhanMedical Unit I, Lahore General Hospital, Lahore, Pakistan.
Eram Anwar
Adnan Agha
Noha Saleh Mohamed Hassanien
Ehsan Ullah
Imran Ali Syed
Arsalan Raja
Lahore General Hospital · PKAlexandria University · EGBlackpool Victoria Hospital · GBUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDengue virus (DENV) affects over half the world's population in 112 countries, and dengue fever (DF) is the second largest arthropod borne infectious global hazard after malaria with complications like Dengue Hemorrhagic Fever (DHF) and Dengue Shock Syndrome (DSS), accounting for significant morbidity and mortality world-over. Pakistan is significantly affected with DENV infection and to-date no study identifying risk factors associated with development of severe complications of DF has been done.

methods997 confirmed cases of DF were collected from a tertiary care hospital in Lahore, Pakistan and their clinical and biochemical data were collected. Univariate, multivariate and logistics regression analysis was performed to identify risk factors associated with development of DHF and DSS.

resultsBleeding OR 70.7 (CI 38.4-129.9), deranged liver function test OR 1.9 (CI 0.97-0.99), presence of urinary red blood cells OR 1.4 (95%CI 0.179-0.900) and presence of urinary protein OR 1.1 (95%CI 0.191-0.974) were related to development of DHF and DSS. DISCUSSION: Severe Dengue, like DHF and DSS can be predicted by the presence of clinical and biochemical factors like signs of bleeding, deranged liver function test, presence of urinary red blood cells and urinary protein; so that the patients at high risk for complication be identified early and started on treatment timely.

conclusionPredictors of severe dengue are identified in this study but further large scale multi-centered studies are needed for better interpretation.

Identifiers

PMID23505602
PMCPMC3591277
OpenAlexW2169229878

What OpenQuestion holds

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LicenceCC BY
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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.