Evidence map›Paper›PMID 32000694›Full record

ArticleBMC infectious diseases2020

Eosinopenia as a diagnostic marker of bloodstream infection in a general internal medicine setting: a cohort study.

Takanobu Hirosawa, Yukinori Harada, Kohei Morinaga, Hiroshi Takase, Michihiro Nin, Taro Shimizu

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
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  5. Immune Response Dynamics and Biomarkers in COVID-19 Patients.International journal of molecular sciences · 2024
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  9. Bandemia as an Early Predictive Marker of Bacteremia: A Retrospective Cohort Study.International journal of environmental research and public health · 2022
    Observational
  10. Article
  11. Review
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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

6 authors at 1 institution in 1 country.

Takanobu HirosawaDepartment of Diagnostic and Generalist Medicine, Dokkyo Medical University Hospital, Clinical Education Building, Kitakobayashi 880, Mibu, Shimotsuga, Mibu, 321-0293, Japan.
Yukinori HaradaDepartment of Diagnostic and Generalist Medicine, Dokkyo Medical University Hospital, Clinical Education Building, Kitakobayashi 880, Mibu, Shimotsuga, Mibu, 321-0293, Japan.
Kohei MorinagaDepartment of Diagnostic and Generalist Medicine, Dokkyo Medical University Hospital, Clinical Education Building, Kitakobayashi 880, Mibu, Shimotsuga, Mibu, 321-0293, Japan.
Hiroshi TakaseDepartment of Diagnostic and Generalist Medicine, Dokkyo Medical University Hospital, Clinical Education Building, Kitakobayashi 880, Mibu, Shimotsuga, Mibu, 321-0293, Japan.
Michihiro NinDepartment of Diagnostic and Generalist Medicine, Dokkyo Medical University Hospital, Clinical Education Building, Kitakobayashi 880, Mibu, Shimotsuga, Mibu, 321-0293, Japan.
Taro ShimizuDepartment of Diagnostic and Generalist Medicine, Dokkyo Medical University Hospital, Clinical Education Building, Kitakobayashi 880, Mibu, Shimotsuga, Mibu, 321-0293, Japan. shimizutaro7@gmail.com.ORCID http://orcid.org/0000-0002-3788-487X
Dokkyo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLittle is known about the potential use of the eosinophil count as a predictive marker of bloodstream infection. In this study, we aimed to assess the reliability of eosinopenia as a predictive marker of bloodstream infection.

methodsThis retrospective cohort study was performed in the outpatient department and general internal medicine department of a tertiary university hospital in Japan. A total of 189 adult patients with at least 2 sets of blood cultures obtained during the period January 1-December 31, 2018, were included; those with the use of antibiotic therapy within 2 weeks prior to blood culture, steroid therapy, or a history of haematological cancer were excluded. The diagnostic accuracies of each univariate variable and the multivariable logistic regression models were assessed by calculating the areas under the receiver operating characteristic curves (AUROCs). The primary outcome was a positive blood culture indicating bloodstream infection.

resultsSevere eosinopenia (< 24.4 cells/mm

conclusionsSevere eosinopenia can be considered an inexpensive marker of bloodstream infection, although of limited diagnostic accuracy, in a general internal medicine setting.

Indexed as

AgranulocytosisAdultAgedAged, 80 and overArea Under CurveBacteremiaBiomarkersData AccuracyEosinophilsFemaleHospitals, UniversityHumansJapanLeukocyte CountLogistic ModelsMaleBiomarkersBlood cultureBloodstream infectionEosinopenia

Identifiers

PMID32000694
PMCPMC6990586
OpenAlexW3012269801

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.