Evidence map›Paper›PMID 32760164›Full record

Observational studyPloS one2020

The relationship between seasonal influenza and telephone triage for fever: A population-based study in Osaka, Japan.

Yusuke Katayama, Kosuke Kiyohara, Sho Komukai, Tetsuhisa Kitamura, Kenichiro Ishida, Tomoya Hirose, Tasuku Matsuyama, Takeyuki Kiguchi, Atsushi Hirayama, Takeshi Shimazu

Open access · goldAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in PloS one, 2020. 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
1.6field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Emergency medicine in Japan: past, present, and future.International journal of emergency medicine · 2021
    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

10 authors at 6 institutions in 1 country.

Yusuke KatayamaDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.ORCID 0000-0003-2585-4259
Kosuke KiyoharaDepartment of Food Science, Faculty of Home Economics, Otsuma Women's University, Tokyo, Japan.
Sho KomukaiDivision of Biomedical Statistics, Department of Integrated Medicine, Graduate School of Medicine, Osaka University, Suita, Japan.ORCID 0000-0002-4329-2520
Tetsuhisa KitamuraDivision of Environmental Medicine and Population Sciences, Department of Social and Environmental Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
Kenichiro IshidaDepartment of Acute Medicine and Critical Care Medical Center, Osaka National Hospital, National Hospital Organization, Osaka, Japan.
Tomoya HiroseDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
Tasuku MatsuyamaDepartment of Emergency Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Takeyuki KiguchiKyoto University Health Services, Kyoto, Japan.
Atsushi HirayamaDivision of Environmental Medicine and Population Sciences, Department of Social and Environmental Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
Takeshi ShimazuDepartment of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Suita, Japan.
The University of Osaka · JPKyoto Prefectural University of Medicine · JPKyoto University · JPOsaka National Hospital · JPOsaka Police Hospital · JPOtsuma Women's University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReplacing traditional surveillance with syndromic surveillance is one of the major interests in public health. However, it is unclear whether the number of influenza patients is associated with the number of telephone triages in Japan.

methodsThis retrospective, observational study was conducted over the six-year period between January 2012 to December 2017. We used the dataset of a telephone triage service in Osaka, Japan and the data on influenza patients published from the Information Center of Infectious Disease in Osaka prefecture. Using a linear regression model, we calculated Spearman's rank-order coefficient and R2 of the regression model to assess the relationship between the number of telephone triages for fever and the number of influenza patients in Osaka. Furthermore, we calculated Spearman's rank-order coefficient and R2 between the predicted weekly number of influenza patients from the linear regression model and the actual weekly number of influenza patients for influenza outbreak season (December-April).

resultsThere were 465,971 patients with influenza, and the number of telephone triages for fever was 420,928 among 1,065,628 total telephone triages during the study period. Our analysis showed that the Spearman rank-order coefficient was 0.932, and R2 and adjusted R2 were 0.869 and 0.842, respectively. The Spearman rank-order coefficient was 0.923 (P<0.001) and R2 was 0.832 in December-April (P<0.001).

conclusionWe revealed a positive relationship in this population between the number of influenza patients and the number of telephone triages for fever.

Indexed as

Population SurveillanceTelemedicineTriageAdolescentAdultAgedAged, 80 and overChildChild, PreschoolDatasets as TopicDisease OutbreaksFemaleHumansInfantInfant, NewbornInfluenza, Human

Identifiers

PMID32760164
PMCPMC7410252
OpenAlexW3047990682

What OpenQuestion holds

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LicenceCC BY
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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.