Evidence map›Paper›PMID 33293870›Full record

ArticleClinical epidemiology2020

The Validity of Intracerebral Hemorrhage Diagnoses in the Danish Patient Registry and the Danish Stroke Registry.

Stine Munk Hald, Christine Kring Sloth, Mikkel Agger, Maria Therese Schelde-Olesen, Miriam Højholt, Mette Hasle, Helle Bogetofte, Ida Olesrud, Stefanie Binzer, Charlotte Madsen and 5 more

Abstract read
In one paragraph

Article in Clinical epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 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

15 authors.

Stine Munk HaldDepartment of Neurology, Odense University Hospital, Odense, Denmark.ORCID 0000-0003-1600-1684
Christine Kring SlothDepartment of Neurology, Odense University Hospital, Odense, Denmark.
Mikkel AggerDepartment of Neurology, Odense University Hospital, Odense, Denmark.ORCID 0000-0002-2877-0512
Maria Therese Schelde-OlesenDepartment of Neurology, Odense University Hospital, Odense, Denmark.
Miriam HøjholtDepartment of Neurology, Odense University Hospital, Odense, Denmark.ORCID 0000-0003-0971-3747
Mette HasleDepartment of Neurology, Odense University Hospital, Odense, Denmark.ORCID 0000-0003-1875-118X
Helle BogetofteDepartment of Neurology, Odense University Hospital, Odense, Denmark.ORCID 0000-0002-2341-2708
Ida OlesrudDepartment of Neurology, Odense University Hospital, Odense, Denmark.ORCID 0000-0002-8147-8182
Stefanie BinzerDepartment of Neurology, Lillebaelt Hospital, Kolding, Denmark.
Charlotte MadsenDepartment of Neurology, Odense University Hospital, Odense, Denmark.
Willy KroneDepartment of Radiology, Odense University Hospital, Odense, Denmark.
Luis Alberto García RodríguezCentro Español Investigación Farmacoepidemiológica (CEIFE), Madrid, Spain.ORCID 0000-0003-0837-2709
Rustam Al-Shahi SalmanCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-2108-9222
Jesper HallasClinical Pharmacology and Pharmacy, Department of Public Health, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-8097-8708
David GaistDepartment of Neurology, Odense University Hospital, Odense, Denmark.ORCID 0000-0001-5205-7007

Funding

Medical Research Council G1002605Medical Research Council G108/613
6 · The paper itself

Abstract

purposeTo establish the validity of intracerebral hemorrhage (ICH) diagnoses in the Danish Stroke Registry (DSR) and the Danish National Patient Registry (DNPR). PATIENTS AND

methodsBased on discharge summaries and brain imaging reports, we estimated the positive predictive value (PPV) of a first-ever diagnosis code for ICH (ICD-10, code I61) for all patients in the Region of Southern Denmark (1.2 million) during 2009-2017 according to either DNPR or DSR. We estimated PPVs for any non-traumatic ICH (a-ICH) and spontaneous ICH (s-ICH) alone (ie, without underlying structural cause). We also calculated the sensitivity of these diagnoses in each of the registers. Finally, we classified the location of verified s-ICH.

resultsA total of 3,956 patients with ICH diagnosis codes were studied (DSR only: 87; DNPR only: 1,513; both registries: 2,356). In the DSR, the PPVs were 86.5% (95% CI=85.1-87.8) for a-ICH and 81.8% (95% CI=80.2-83.3) for s-ICH. The PPVs in DNPR (discharge code, primary diagnostic position) were 76.2% (95% CI=74.7-77.6) for a-ICH and 70.2% (95% CI=68.6-71.8) for s-ICH. Sensitivity for a-ICH and s-ICH was 76.4% (95% CI=74.8-78.0) and 78.7% (95% CI=77.1-80.2) in DSR, and 87.3% (95% CI=86.0-88.5) and 87.7% (95% CI=86.3-88.9) in DNPR. The location of verified s-ICH was lobar (39%), deep (33.6%), infratentorial (13.2%), large unclassifiable (11%), isolated intraventricular (1.9%), or unclassifiable due to insufficient information (1.3%).

conclusionThe validity of a-ICH diagnoses is high in both registries. For s-ICH, PPV was higher in DSR, while sensitivity was higher in DNPR. The location of s-ICH was similar to distributions seen in other populations.

Indexed as

epidemiologyintracerebral hemorrhageregister-based researchstrokevalidity

Identifiers

PMID33293870
PMCPMC7719118

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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.