Evidence map›Paper›PMID 30349397›Full record

ArticleClinical epidemiology2018

Positive predictive value of ICD-10 diagnosis codes for brain abscess in the Danish National Patient Registry.

Jacob Bodilsen, Michael Dalager-Pedersen, Nicolai Kjærgaard, Diederik van de Beek, Matthijs C Brouwer, Henrik Nielsen

Abstract read
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Article in Clinical epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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.

Jacob BodilsenDepartment of Infectious Diseases, Aalborg University Hospital, Aalborg, Denmark, c1-clep-10-1503, Jacob.bodilsen@rn.dk.
Michael Dalager-PedersenDepartment of Infectious Diseases, Aalborg University Hospital, Aalborg, Denmark, c1-clep-10-1503, Jacob.bodilsen@rn.dk.
Nicolai KjærgaardDepartment of Infectious Diseases, Aalborg University Hospital, Aalborg, Denmark, c1-clep-10-1503, Jacob.bodilsen@rn.dk.
Diederik van de BeekDepartment of Neurology, Amsterdam Neuroscience, Academic Medical Centre, Amsterdam, The Netherlands.
Matthijs C BrouwerDepartment of Neurology, Amsterdam Neuroscience, Academic Medical Centre, Amsterdam, The Netherlands.
Henrik NielsenDepartment of Infectious Diseases, Aalborg University Hospital, Aalborg, Denmark, c1-clep-10-1503, Jacob.bodilsen@rn.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the positive predictive value (PPV) of ICD-10 diagnosis codes for brain abscess in the Danish National Patient Registry (DNPR). PATIENTS AND

methodsWe examined medical records of all patients with a first-time diagnosis code of brain abscess in the DNPR from 2007 to 2016. Patients were categorized with either confirmed or disproved brain abscess using a priori defined criteria. We computed the PPV as the proportion of confirmed diagnoses.

resultsWe identified 709 patients, of whom the medical records could not be retrieved for 15 patients, leaving 694 for further analyses. Of these, 444 had a confirmed brain abscess and 250 had another proven diagnosis, including 47 cases of intracranial empyema. The overall PPV was 64% (95% CI: 60-68) ranging from 24% to 96% among the different codes evaluated. By including only patients with either 1) both a diagnosis and surgical procedure code for brain abscess or 2) patients admitted to hospital with certain primary diagnosis codes (DG060[C,E,F] or DG079B) without newly diagnosed central nervous system (CNS) cancer, spondylodiscitis/intraspinal abscess, or procedure codes for evacuation of intracranial empyema, the PPV increased to 84% (95% CI 80-87) and 89% (395/444) of all confirmed cases were identified.

conclusionThe overall PPV of diagnosis codes for brain abscess in the DNPR was moderate. However, by exclusion of newly diagnosed CNS tumors, spondylodiscitis/intraspinal abscess, and intracranial empyemas, the PPV was high and therefore suitable for future registry-based studies of brain abscess.

Indexed as

cerebral abscessepidemiologyintracranial abscessPPVregister

Identifiers

PMID30349397
PMCPMC6190620

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