Evidence map›Paper›PMID 36997793›Full record

ArticleJournal of general internal medicine2023

Relationship Between Oral Temperature and Bacteremia in Hospitalized Patients.

Sidra L Speaker, Elizabeth R Pfoh, Matthew A Pappas, Rebecca Schulte, Bo Hu, Thomas N Gautier, Michael B Rothberg

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

7 authors at 3 institutions in 1 country.

Sidra L SpeakerDepartment of Emergency Medicine, University of California San Diego, San Diego, CA, USA.
Elizabeth R PfohCenter for Value-Based Care Research, Cleveland Clinic, Cleveland, OH, USA.
Matthew A PappasCenter for Value-Based Care Research, Cleveland Clinic, Cleveland, OH, USA.
Rebecca SchulteDepartment for Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA.
Bo HuDepartment for Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, USA.
Thomas N GautierCleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH, USA.
Michael B RothbergCenter for Value-Based Care Research, Cleveland Clinic, Cleveland, OH, USA. rothbem@ccf.org.
Cleveland Clinic · USCase Western Reserve University · USUniversity of California San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly recognition and treatment of bacteremia can be lifesaving. Fever is a well-known marker of bacteremia, but the predictive value of temperature has not been fully explored.

objectiveTo describe temperature as a predictor of bacteremia and other infections.

designRetrospective review of electronic health record data.

settingA single healthcare system comprising 13 hospitals in the United States. PATIENTS: Adult medical patients admitted in 2017 or 2018 without malignancy or immunosuppression. MAIN MEASURES: Maximum temperature, bacteremia, influenza and skin and soft tissue (SSTI) infections based on blood cultures and ICD-10 coding. KEY

resultsOf 97,174 patients, 1,518 (1.6%) had bacteremia, 1,392 (1.4%) had influenza, and 3,280 (3.3%) had an SSTI. There was no identifiable temperature threshold that provided adequate sensitivity and specificity for bacteremia. Only 45% of patients with bacteremia had a maximum temperature ≥ 100.4˚F (38˚C). Temperature showed a U-shaped relationship with bacteremia with highest risk above 103˚F (39.4˚C). Positive likelihood ratios for influenza and SSTI also increased with temperature but showed a threshold effect at ≥ 101.0 ˚F (38.3˚C). The effect of temperature was similar but blunted for patients aged ≥ 65 years, who frequently lacked fever despite bacteremia.

conclusionsThe majority of bacteremic patients had maximum temperatures below 100.4 ˚F (38.0˚C) and positive likelihood ratios for bacteremia increased with high temperatures above the traditional definition of fever. Efforts to predict bacteremia should incorporate temperature as a continuous variable.

Indexed as

BacteremiaInfluenza, HumanAdultFeverHumansRetrospective StudiesSensitivity and SpecificityTemperaturebacteremiablood culturefeversepsistemperature

Identifiers

PMID36997793
PMCPMC10506973
OpenAlexW4362459927

What OpenQuestion holds

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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.