Evidence map›Paper›PMID 24663388›Full record

Trial reportPloS one2014

How well do discharge diagnoses identify hospitalised patients with community-acquired infections?--a validation study.

Daniel Pilsgaard Henriksen, Stig Lønberg Nielsen, Christian Borbjerg Laursen, Jesper Hallas, Court Pedersen, Annmarie Touborg Lassen

Open access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
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  5. Temporal trends in socioeconomic inequalities and risk of infection after hip fracture surgery: a nationwide cohort study, 2010-2021.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
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  18. Dispatch and prehospital transport for acute septic patients: an observational study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2017
    Observational
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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 2 institutions in 1 country.

Daniel Pilsgaard HenriksenDepartment of Emergency Medicine, Odense University Hospital, Odense, Denmark.
Stig Lønberg NielsenDepartment of Infectious Diseases, Odense University Hospital, Odense, Denmark.
Christian Borbjerg LaursenDepartment of Respiratory Medicine, Odense University Hospital, Odense, Denmark.
Jesper HallasDepartment of Clinical Pharmacology, University of Southern Denmark, Odense, Denmark.
Court PedersenDepartment of Infectious Diseases, Odense University Hospital, Odense, Denmark.
Annmarie Touborg LassenDepartment of Emergency Medicine, Odense University Hospital, Odense, Denmark.
Odense University Hospital · DKUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCredible measures of disease incidence, trends and mortality can be obtained through surveillance using manual chart review, but this is both time-consuming and expensive. ICD-10 discharge diagnoses are used as surrogate markers of infection, but knowledge on the validity of infections in general is sparse. The aim of the study was to determine how well ICD-10 discharge diagnoses identify patients with community-acquired infections in a medical emergency department (ED), overall and related to sites of infection and patient characteristics.

methodsWe manually reviewed 5977 patients admitted to a medical ED in a one-year period (September 2010-August 2011), to establish if they were hospitalised with community-acquired infection. Using the manual review as gold standard, we calculated the sensitivity, specificity, predictive values, and likelihood ratios of discharge diagnoses indicating infection.

resultsTwo thousand five hundred eleven patients were identified with community-acquired infection according to chart review (42.0%, 95% confidence interval [95%CI]: 40.8-43.3%) compared to 2550 patients identified by ICD-10 diagnoses (42.8%, 95%CI: 41.6-44.1%). Sensitivity of the ICD-10 diagnoses was 79.9% (95%CI: 78.1-81.3%), specificity 83.9% (95%CI: 82.6-85.1%), positive likelihood ratio 4.95 (95%CI: 4.58-5.36) and negative likelihood ratio 0.24 (95%CI: 0.22-0.26). The two most common sites of infection, the lower respiratory tract and urinary tract, had positive likelihood ratios of 8.3 (95%CI: 7.5-9.2) and 11.3 (95%CI: 10.2-12.9) respectively. We identified significant variation in diagnostic validity related to age, comorbidity and disease severity.

conclusionICD-10 discharge diagnoses identify specific sites of infection with a high degree of validity, but only a moderate degree when identifying infections in general.

Indexed as

Communicable DiseasesEmergency Service, HospitalPatient DischargeRegistriesSeverity of Illness IndexAdolescentAdultAge FactorsDenmarkFemaleHumansMaleObserver Variation

Identifiers

PMID24663388
PMCPMC3963967
OpenAlexW1978975263

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.