Evidence map›Paper›PMID 30871553›Full record

ArticleAnnals of clinical microbiology and antimicrobials2019

Plasma cell-free DNA: a potential biomarker for early prediction of severe dengue.

Nguyen Thi Ngoc Phuong, Dao Huy Manh, Shyam Prakash Dumre, Shusaku Mizukami, Lan Nguyen Weiss, Nguyen Van Thuong, Tran Thi Ngoc Ha, Le Hong Phuc, Tran Van An, Thuan Minh Tieu and 5 more

Abstract read
In one paragraph

Article in Annals of clinical microbiology and antimicrobials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–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, 2 syntheses or guidelines pooled it.

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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

15 authors.

Nguyen Thi Ngoc PhuongDepartment of Immunogenetics, Institute of Tropical Medicine (NEKKEN), Nagasaki University, Nagasaki, Japan.
Dao Huy ManhDepartment of Immunogenetics, Institute of Tropical Medicine (NEKKEN), Nagasaki University, Nagasaki, Japan.
Shyam Prakash DumreDepartment of Immunogenetics, Institute of Tropical Medicine (NEKKEN), Nagasaki University, Nagasaki, Japan.
Shusaku MizukamiDepartment of Immunogenetics, Institute of Tropical Medicine (NEKKEN), Nagasaki University, Nagasaki, Japan.
Lan Nguyen WeissDepartment of Immunology and Microbiology, Pasteur Institute, Ho Chi Minh City, Vietnam.
Nguyen Van ThuongDepartment of Immunology and Microbiology, Pasteur Institute, Ho Chi Minh City, Vietnam.
Tran Thi Ngoc HaDepartment of Immunology and Microbiology, Pasteur Institute, Ho Chi Minh City, Vietnam.
Le Hong PhucNguyen Dinh Chieu Hospital, Ben Tre Province, Vietnam.
Tran Van AnNguyen Dinh Chieu Hospital, Ben Tre Province, Vietnam.
Thuan Minh TieuOnline research Club (www.onlineresearchclub.org/), Nagasaki, Japan.
Mohamed Gomaa KamelOnline research Club (www.onlineresearchclub.org/), Nagasaki, Japan.
Mostafa Ebraheem MorraOnline research Club (www.onlineresearchclub.org/), Nagasaki, Japan.
Vu Thi Que HuongDepartment of Immunology and Microbiology, Pasteur Institute, Ho Chi Minh City, Vietnam.
Nguyen Tien HuyEvidence Based Medicine Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam. nguyentienhuy@tdtu.edu.vn.
Kenji HirayamaDepartment of Immunogenetics, Institute of Tropical Medicine (NEKKEN), Nagasaki University, Nagasaki, Japan. hiraken@nagasaki-u.ac.jp.

Funding

Japan Agency for Medical Research and Development (JP) JP18fm0108001Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan 16H05844
6 · The paper itself

Abstract

backgroundConsiderable progress has been made in dengue management, however the lack of appropriate predictors of severity has led to huge number of unwanted admissions mostly decided on the grounds of warning signs. Apoptosis related mediators, among others, are known to correlate with severe dengue (SD) although no predictive validity is established. The objective of this study was to investigate the association of plasma cell-free DNA (cfDNA) with SD, and evaluate its prognostic value in SD prediction at acute phase.

methodsThis was a hospital-based prospective cohort study conducted in Vietnam. All the recruited patients were required to be admitted to the hospital and were strictly monitored for various laboratory and clinical parameters (including progression to SD) until discharged. Plasma samples collected during acute phase (6-48 h before defervescence) were used to estimate the level of cfDNA.

resultsOf the 61 dengue patients, SD patients (n = 8) developed shock syndrome in 4.8 days (95% CI 3.7-5.4) after the fever onset. Plasma cfDNA levels before the defervescence of SD patients were significantly higher than the non-SD group (p = 0.0493). From the receiver operating characteristic (ROC) curve analysis, a cut-off of > 36.9 ng/mL was able to predict SD with a good sensitivity (87.5%), specificity (54.7%), and area under the curve (AUC) (0.72, 95% CI 0.55-0.88; p = 0.0493).

conclusionsTaken together, these findings suggest that cfDNA could serve as a potential prognostic biomarker of SD. Studies with cfDNA kinetics and its combination with other biomarkers and clinical parameters would further improve the diagnostic ability for SD.

Indexed as

AdolescentAdultBiomarkersCell-Free Nucleic AcidsChildDiagnostic Tests, RoutineFemaleHospitalizationHumansImmunoglobulin MMalePrognosisProspective StudiesROC CurveSensitivity and SpecificitySevere DengueBiomarkersCell-Free Nucleic AcidsImmunoglobulin MCell-free DNADengue severity predictorPrognostic biomarkerSevere dengue

Identifiers

PMID30871553
PMCPMC6419393

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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.