Evidence map›Paper›PMID 38760732›Full record

ArticleBMC infectious diseases2024

Evaluation of clinical and laboratory characteristics of dengue viral infection and risk factors of dengue hemorrhagic fever: a multi-center retrospective analysis.

Muhammad Riaz, Sabriah Noor Binti Harun, Tauqeer Hussain Mallhi, Yusra Habib Khan, Muhammad Hammad Butt, Aamir Husain, Muhammad Mujeeb Khan, Amer Hayat Khan

Abstract readMulticenter Study
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Dengue Cases in the Eastern Region of Afghanistan, 2021-2023.Journal of epidemiology and global health · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. 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

8 authors.

Muhammad RiazDiscipline of Clinical Pharmacy, School of Pharmaceutical Sciences, University Sains Malaysia, Palau Penang, Malaysia.
Sabriah Noor Binti HarunDiscipline of Clinical Pharmacy, School of Pharmaceutical Sciences, University Sains Malaysia, Palau Penang, Malaysia.
Tauqeer Hussain MallhiDepartment of Clinical Pharmacy, College of Pharmacy, Jouf University, Sakakah, Al-Jouf, Kingdom of Saudi Arabia.
Yusra Habib KhanDepartment of Clinical Pharmacy, College of Pharmacy, Jouf University, Sakakah, Al-Jouf, Kingdom of Saudi Arabia.
Muhammad Hammad ButtDepartment of Medicinal Chemistry, Faculty of Pharmacy, Uppsala University, Uppsala, 75123, Sweden. muhammad-hammad.butt.7587@student.uu.se.
Aamir HusainDepartment of Medicine, Faisalabad Medical University, Faisalabad, Pakistan.
Muhammad Mujeeb KhanDepartment of Infectious Diseases, Rawalpindi Medical University, Rawalpindi, Pakistan.
Amer Hayat KhanDiscipline of Clinical Pharmacy, School of Pharmaceutical Sciences, University Sains Malaysia, Palau Penang, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDengue Viral Infection (DVI) has become endemic in Pakistan since the first major outbreak in Karachi in 1996. Despite aggressive measures taken by relevant authorities, Pakistan has been dealing with a worsening dengue crisis for the past two decades. DHF is severe form of dengue infection which is linked with significant morbidity and mortality. Early identification of severe dengue infections can reduce the morbidity and mortality. In this context we planned current study in which we find out the different factors related with DHF as well as clinical laboratory features of DHF and compare them to DF so that patients can be best evaluated for DHF and managed accordingly at admission.

methodsRetrospective study conducted over a period of 6 years (2013-2018) in two tertiary care hospitals in Pakistan. Data were collected by using a pre-structured data collection form. Data were statistically analyzed to determine the clinical and laboratory characteristics of DVI and risk factors of dengue hemorrhagic fever (DHF).

resultsA total 512 dengue cases (34.05 ± 15.08 years; Male 69.53%) were reviewed. Most common clinical manifestations of DVI were fever (99.60%), headache (89.1%), chills (86.5%), rigors (86.5%), myalgia (72.3%). Less common clinical manifestations were vomiting (52.5%), arthralgia (50.2%) and skin rashes (47.5%). Furthermore, nasal bleeding (44.1%), gum bleeding (32.6%), pleural effusion (13.9%) and hematuria (13.1%) were more profound clinical presentations among DHF patients. Mortality rate was 1.5% in this study. Logistic regression analysis indicated that delayed hospitalization (OR: 2.30) and diabetes mellitus (OR:2.71), shortness of breath (OR:2.21), association with risk groups i.e., living near stagnant water, travelling to endemic areas, living in endemic regions (OR:1.95), and presence of warning signs (OR:2.18) were identified as risk factors of DHF. Statistically we found that there is strong association of diabetes mellitus (DM) with DHF while the patient suffering from DM individually had higher odds (2.71) of developing DHF than patients without disease.

conclusionsThe current study demonstrated that the clinical and laboratory profiles of DF and DHF are significantly distinct. Significant predictors of DHF were advanced age, diabetes mellitus, ascites, pleural effusion, thick gallbladder and delayed hospitalization. The identification of these factors at early stage provides opportunities for the clinicians to identify high risk patients and to reduce dengue-related morbidity and mortality.

Indexed as

Severe DengueAdolescentAdultAgedDengueDengue VirusFemaleHumansMaleMiddle AgedPakistanRetrospective StudiesRisk FactorsYoung AdultDengueDengue feverDengue hemorrhagic feverMortalityPakistanSevere dengue

Identifiers

PMID38760732
PMCPMC11102246

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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.