Evidence map›Paper›PMID 18957115›Full record

ArticleBMC infectious diseases2008

Risk factors for negative blood cultures in adult medical inpatients--a retrospective analysis.

Boris P Ehrenstein, Vera Ehrenstein, Christine Henke, Hans-Jörg Linde, Bernd Salzberger, Jürgen Schölmerich, Thomas Glück

Open access · goldAbstract read
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Article in BMC infectious diseases, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

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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 2 countries.

Boris P EhrensteinDept. of Internal Medicine (I), University of Regensburg, Germany. boris.ehrenstein@klinik.uni-r.de
Vera Ehrenstein
Christine Henke
Hans-Jörg Linde
Bernd Salzberger
Jürgen Schölmerich
Thomas Glück
University of Regensburg · DEBoston University · USInstitute of Medical Microbiology and Hygiene · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe identification of clinical factors associated with negative blood cultures could help to avoid unnecessary blood cultures. C-reactive protein (CRP) is a well-established inflammation marker commonly used in the management of medical inpatients.

methodsWe studied the association of clinical factors, CRP levels and changes of CRP documented prior to blood culture draws with the absence of bacteremia for hospitalized medical patients.

resultsIn the retrospective analysis of 710 blood cultures obtained from 310 medical inpatients of non-intensive-care wards during one year (admission blood cultures obtained in the emergency room were excluded), the following retrospectively available factors were the only independent predictors of blood cultures negative for obligate pathogens: a good clinical condition represented by the lowest of three general nursing categories (OR 4.2, 95% CI 1.8 - 9.5), a CRP rise > 50 mg/L documented before the blood culture draw (OR 2.0 95% CI 1.8-9.5) and any antibiotic treatment in the previous seven days (OR 2.0, 95% CI 1.1-3.5).

conclusionIncluding the general clinical condition, antibiotic pre-treatment and a substantial rise of CRP into the decision, whether or not to obtain blood cultures from medical inpatients with a suspected infection, could improve the diagnostic yield.

Indexed as

Risk FactorsAdultAnti-Bacterial AgentsBacterial InfectionsBacteriological TechniquesBiomarkersBloodC-Reactive ProteinHumansInpatientsLogistic ModelsRetrospective StudiesAnti-Bacterial AgentsBiomarkersC-Reactive Protein

Identifiers

PMID18957115
PMCPMC2582035
OpenAlexW2138697192

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.