Evidence map›Paper›PMID 39707092›Full record

Observational studyJournal of general internal medicine2025

Added Value of Shaking Chills for Predicting Bacteremia in Patients with Suspected Infection.

Masataka Kudo, Toshihiko Takada, Kotaro Fujii, Sho Sasaki, Yu Yagi, Tetsuhiro Yano, Yasuhiro Tsuchido, Hideyuki Ito, Ken-Ei Sada, Shunichi Fukuhara

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in Journal of general internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Masataka KudoDepartment of General Internal Medicine, Iizuka Hospital, Fukuoka, Japan.
Toshihiko TakadaDepartment of General Medicine, Shirakawa Satellite for Teaching And Research (STAR), Fukushima Medical University, Fukushima, Japan. ttakada@water.ocn.ne.jp.ORCID 0000-0002-8032-6224
Kotaro FujiiDepartment of General Medicine, Shirakawa Satellite for Teaching And Research (STAR), Fukushima Medical University, Fukushima, Japan.
Sho SasakiSection of Education for Clinical Research, Kyoto University Hospital, Kyoto, Japan.
Yu YagiDepartment of General Internal Medicine, Iizuka Hospital, Fukuoka, Japan.
Tetsuhiro YanoDepartment of General Medicine, Shirakawa Satellite for Teaching And Research (STAR), Fukushima Medical University, Fukushima, Japan.
Yasuhiro TsuchidoDepartment of Clinical Laboratory Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Hideyuki ItoDepartment of Emergency Medicine, Otsu City Hospital, Otsu, Japan.
Ken-Ei SadaDepartment of Clinical Epidemiology, Kochi Medical School, Nankoku, Japan.
Shunichi FukuharaDepartment of General Medicine, Shirakawa Satellite for Teaching And Research (STAR), Fukushima Medical University, Fukushima, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDetailed grading of chills is more useful for diagnosing bacteremia than simply classifying the presence or absence of chills. However, its value added to other clinical information has not been evaluated.

objectiveTo evaluate the value of adding chills grading to other clinical information compared to simply noting the presence or absence of chills for predicting bacteremia in patients with suspected infection.

designProspective observational study.

participantsAdult patients admitted to two acute-care hospitals with suspected infection from April 2018 to March 2019. MAIN MEASURES: Two types of categorization for chills were applied: "presence" or "absence" (dichotomized chills); and "no chills", "mild/moderate chills", and "shaking chills" (trichotomized chills). Three multivariable logistic regression models incorporating each of dichotomized chills, trichotomized chills, and C-reactive protein (CRP) with other clinical information were developed and compared. To assess the potential consequences of using each model to identify patients with high risk of bacteremia (i.e., requiring prompt intervention), we applied a cut-off point of an estimated probability of 60%. The number of patients with bacteremia correctly identified by each model was compared. KEY

resultsAmong the 2,013 patients, 327 (16.2%) were diagnosed with bacteremia. The three models showed comparable discrimination and calibration performance. At the 60% cut-off, the dichotomized chills model correctly identified 11 patients (3.4% [95% confidence interval (CI) 1.9-3.4] of patients with bacteremia). The trichotomized chills model and CRP model correctly identified an additional 15 patients (4.6% [95% CI 2.8-7.4]) and 2 patients (0.6% [95% CI 0.1-2.3]) with bacteremia, respectively.

conclusionsDifferentiating shaking chills in comparison with dichotomized chills for predicting bacteremia allowed the correct identification of an additional 4.6% of patients with bacteremia. Detailed grading of chills can be assessed without additional time, cost, or burden on patients and can be recommended in the routine history taking.

Indexed as

BacteremiaChillsAdultAgedAged, 80 and overC-Reactive ProteinFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesC-Reactive Proteinbacteremiachillpredictive value of test

Identifiers

PMID39707092
PMCPMC11914571

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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.