Evidence map›Paper›PMID 19020803›Full record

ArticleInfection2008

Clinical and laboratory signs as dengue markers during an outbreak in Rio de Janeiro.

S R L Passos, S J Bedoya, Y H M Hökerberg, S C Maia, I Georg, R M R Nogueira, R V Souza, K B F Marzochi

Abstract read
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Article in Infection, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. 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

8 authors.

S R L PassosClinical Epidemiology Laboratory, Evandro Chagas Clinical Research Institute, Av Brasil 4365 Manguinhos, Rio de Janeiro, 21045900, Brazil. sonialambert@ipec.fiocruz.br
S J Bedoya
Y H M Hökerberg
S C Maia
I Georg
R M R Nogueira
R V Souza
K B F Marzochi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of the main challenges for clinical research in dengue is the low validity of clinical diagnosis.

objectiveTo analyze clinical and laboratory data as predicitve factors of dengue diagnosis at Evandro Chagas Clinical Research Institute, Oswaldo Cruz Foundation, during the 2001-2002 dengue outbreak in Rio de Janeiro.

methodsCross sectional study comparing clinical laboratory data collected from the National Information System for Compulsory Notification Diseases (SINAN) in two serologically confirmed groups: dengue D (N = 453) and non-dengue ND (N = 80).

resultsFever, exanthema, itching, mean platelet count < 150,000, WBC count < 4,000 and absence of vomiting and of abdominal pain help to distinguish D from ND groups. When considered individually, these signs and symptoms enhance diagnostic sensitivity and, when used in combination, improve specificity.

conclusionA combination of symptoms not necessarily considered indicative of dengue diagnosis could improve surveillance and medical decision-making in simple clinical settings.

Indexed as

BiomarkersClinical Laboratory TechniquesDengueDisease OutbreaksAdolescentAdultBrazilChildChild, PreschoolCross-Sectional StudiesDengue VirusFemaleFeverHumansMaleMiddle AgedBiomarkers

Identifiers

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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.