Evidence map›Paper›PMID 24788828›Full record

ArticlePloS one2014

Self-reported pain intensity with the numeric reporting scale in adult dengue.

Joshua G X Wong, Victor C Gan, Ee-Ling Ng, Yee-Sin Leo, Siew-Pang Chan, Robin Choo, David C Lye

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Mechanistic Modeling ofGeoHealth · 2025
    Article
  3. 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 2 countries.

Joshua G X WongInstitute of Infectious Disease and Epidemiology, Tan Tock Seng Hospital, Singapore, Singapore.
Victor C GanInstitute of Infectious Disease and Epidemiology, Tan Tock Seng Hospital, Singapore, Singapore.
Ee-Ling NgInstitute of Infectious Disease and Epidemiology, Tan Tock Seng Hospital, Singapore, Singapore.
Yee-Sin LeoInstitute of Infectious Disease and Epidemiology, Tan Tock Seng Hospital, Singapore, Singapore; Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore; Lee Kong Chian School of Medicine, Nanyang Technologicial University, Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Siew-Pang ChanInstitute of Infectious Disease and Epidemiology, Tan Tock Seng Hospital, Singapore, Singapore; Stata Users Group, Singapore, Singapore; Department of Mathematics and Science, La Trobe University, Melbourne, Victoria, Australia.
Robin ChooStata Users Group, Singapore, Singapore; Singapore Institute for Clinical Sciences, Brenner Centre for Molecular Medicine, Singapore, Singapore.
David C LyeInstitute of Infectious Disease and Epidemiology, Tan Tock Seng Hospital, Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Tan Tock Seng Hospital · SGNational University Health System · SGNational University of Singapore · SGSingapore Institute for Clinical Sciences · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPain is a prominent feature of acute dengue as well as a clinical criterion in World Health Organization guidelines in diagnosing dengue. We conducted a prospective cohort study to compare levels of pain during acute dengue between different ethnicities and dengue severity.

methodsDemographic, clinical and laboratory data were collected. Data on self-reported pain was collected using the 11-point Numerical Rating Scale. Generalized structural equation models were built to predict progression to severe disease.

resultsA total of 499 laboratory confirmed dengue patients were recruited in the Prospective Adult Dengue Study at Tan Tock Seng Hospital, Singapore. We found no statistically significant differences between pain score with age, gender, ethnicity or the presence of co-morbidity. Pain score was not predictive of dengue severity but highly correlated to patients' day of illness. Prevalence of abdominal pain in our cohort was 19%. There was no difference in abdominal pain score between grades of dengue severity.

conclusionDengue is a painful disease. Patients suffer more pain at the earlier phase of illness. However, pain score cannot be used to predict a patient's progression to severe disease.

Indexed as

Abdominal PainAdultDengueFemaleHumansMaleMiddle AgedPain MeasurementProspective StudiesSelf ReportSingaporeYoung Adult

Identifiers

PMID24788828
PMCPMC4006847
OpenAlexW2095235634

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.