Evidence map›Paper›PMID 32127557›Full record

ArticleScientific reports2020

Comparison of Fever-reducing Effects in Self-reported Data from the Mobile App: Antipyretic Drugs in Pediatric Patients.

Jiyun Choi, Seyun Chang, Jong Gyun Ahn

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

0 citing papers in PubMed, 9 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 2 countries.

Jiyun ChoiYonsei University College of Medicine, Seoul, Republic of Korea.
Seyun ChangPohang University of Science and Technology, Pohang, Republic of Korea.
Jong Gyun AhnDepartment of Pediatrics, Severance Children's Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea. jgahn@yuhs.ac.ORCID http://orcid.org/0000-0001-5748-0015
China Mobile (China) · CNPohang University of Science and Technology · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We compared the fever-reducing efficacy of acetaminophen (AA), ibuprofen (IBU), and dexibuprofen (DEX) using data collected from the mobile healthcare application FeverCoach, which provides parents with guidelines for determining their child's health condition, according to body temperature. Its dataset includes 4.4 million body temperature measurement records and 1.6 million antipyretics treatment records. Changes in body temperature over time were compared after taking one of three different antipyretics (AA, IBU, and DEX), using a one-way ANOVA followed by a post-hoc analysis. A multivariate linear model was used to further analyze the average body temperature differences, calibrating for the influences of age, weight, and sex. Children administered IBU had average body temperatures that were 0.18 °C (0.17-0.19 °C), 0.25 °C (0.24-0.26 °C), and 0.18 °C (0.17-0.20 °C) lower than those of children administered AA, at time intervals of 1-2 hours, 2-3 hours, and 3-4 hours, respectively. Similarly, children administered DEX had average body temperatures that were 0.24 °C (0.24-0.25 °C), 0.28 °C (0.27-0.29 °C), and 0.12 °C (0.10-0.13 °C) lower than those of children administered AA, at time intervals of 1-2, 2-3, and 3-4 hours, respectively. Although the data were collected from the application by non-professional parents, the analysis showed that IBU and DEX were more effective in reducing body temperature than AA was.

Identifiers

PMID32127557
PMCPMC7054323
OpenAlexW3009771765

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.