Evidence map›Paper›PMID 41792379›Full record

ArticleScientific reports2026

Derivation and validation of a new prediction score for bacteremia in the emergency department.

Hirofumi Ohno, Jin Takahashi, Sayumi Kato, Kenta Ishii, Kazuhiro Hiramatsu

Abstract readValidation Study
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

5 authors.

Hirofumi OhnoDepartment of Emergency Medicine, Toyohashi Municipal Hospital, 50 Hachiken-nishi, Aotake-cho, Toyohashi, Aichi, 441-8570, Japan. oh922634@gmail.com.
Jin TakahashiDepartment of Emergency and Critical Care Medicine, Tokyo Bay Urayasu Ichikawa Medical Center, 3-4-32, Todaijima, Urayasu, Chiba, 279-0001, Japan.
Sayumi KatoDepartment of Emergency Medicine, Toyohashi Municipal Hospital, 50 Hachiken-nishi, Aotake-cho, Toyohashi, Aichi, 441-8570, Japan.
Kenta IshiiDepartment of Emergency Medicine, Toyohashi Municipal Hospital, 50 Hachiken-nishi, Aotake-cho, Toyohashi, Aichi, 441-8570, Japan.
Kazuhiro HiramatsuDepartment of Emergency Medicine, Toyohashi Municipal Hospital, 50 Hachiken-nishi, Aotake-cho, Toyohashi, Aichi, 441-8570, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection and treatment of bacteremia are crucial; however, blood culture takes days. We aimed to develop a prediction score using objective emergency department (ED)-available parameters. This single-center, retrospective cohort study included patients aged ≥ 16 years admitted to our ED with suspected bacteremia. The study was divided into derivation and validation periods. Data on vital signs, routine blood tests, and blood cultures were analyzed. Using multivariate logistic regression, a prediction score was developed and validated during the derivation and validation periods, respectively. A total of 3,725 and 3,471 patients were eligible for the derivation and validation periods, respectively. Continuous variables were converted to binary forms and used in logistic regression. The resulting prediction score was: Body temperature + Platelets × 2 + Neutrophil-lymphocyte ratio × 3 + Albumin + Bilirubin × 2 + Creatinine + Lactate × 2. The area under the curve in the receiver operating characteristic curve of the prediction score in the derivation and the validation period was 0.78 (95% confidence interval: 0.76–0.80) and 0.75 (95% confidence interval: 0.73–0.78), respectively. A prediction score based on routine blood tests and vital signs can effectively predict bacteremia in ED settings.

Indexed as

BacteremiaEmergency Service, HospitalAdultAgedFemaleHumansLogistic ModelsMaleMiddle AgedRetrospective StudiesROC CurveBacteremiaEmergency departmentPrediction score

Identifiers

PMID41792379
PMCPMC13079805

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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.