Evidence map›Paper›PMID 39005191›Full record

ArticleEuropean journal of neurology2024

Diagnostic accuracy and radiological validation of intracerebral hemorrhage diagnosis in the Swedish Stroke Register (Riksstroke).

Gabriella Sultani, Amir Hillal, Birgitta Ramgren, Trine Apostolaki-Hansson, Bo Norrving, Johan Wasselius, Teresa Ullberg

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in European journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Observational
  2. 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.

Gabriella SultaniDepartment of Neurology, Skåne University Hospital, Malmö, Sweden.
Amir HillalDepartment of Clinical Sciences, Lund University, Lund, Sweden.
Birgitta RamgrenDepartment of Clinical Sciences, Lund University, Lund, Sweden.
Trine Apostolaki-HanssonDepartment of Neurology, Skåne University Hospital, Malmö, Sweden.ORCID 0000-0003-4063-5476
Bo NorrvingDepartment of Neurology, Skåne University Hospital, Malmö, Sweden.
Johan WasseliusDepartment of Clinical Sciences, Lund University, Lund, Sweden.
Teresa UllbergDepartment of Neurology, Skåne University Hospital, Malmö, Sweden.

Funding

Crafoordska Stiftelsen 20200548VINNOVA 2021-02617
6 · The paper itself

Abstract

background and purposeNational quality registries for stroke care operate under the assumption that the included patients are correctly diagnosed. We aimed to validate the clinical diagnosis of spontaneous intracerebral hemorrhage (ICH) in Riksstroke (RS) by evaluating radiological data from a large, unselected ICH population.

methodsWe conducted a retrospective, multicenter study including all ICH patients registered in RS between 2016 and 2020 residing in Skåne County in Sweden (1.41 million inhabitants). Radiological data from first imaging were evaluated for the presence of spontaneous ICH. Other types of bleeds were registered if a spontaneous ICH was not identified on imaging. The radiological evaluation was independently performed by one radiology fellow and one senior neuroradiologist.

resultsBetween 2016 and 2020, 1784 ICH cases were registered in RS, of which 1655 (92.8%) had a radiological diagnosis consistent with spontaneous ICH. In the 129 (7.2%) remaining cases, the radiological diagnosis was instead traumatic bleed (n = 80), subarachnoid hemorrhage (n = 15), brain tumor bleed (n = 14), ischemic lesion with hemorrhagic transformation (n = 14), ischemic lesion (n = 3), or no bleed at all (n = 3). There was a higher degree of incorrect coding in the older age groups.

conclusionAt radiological evaluation, 92.8% of ICH diagnoses in RS were consistent with spontaneous ICH, yielding a high rate of agreement that strengthens the validity of the diagnostic accuracy in the register, justifying the use of high coverage quality register data for epidemiological purposes. The most common coding error was traumatic bleeds that were classified as spontaneous ICH.

Indexed as

Cerebral HemorrhageRegistriesStrokeAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesSwedenTomography, X-Ray Computeddiagnostic accuracyintracerebral hemorrhageradiological validationstroke register

Identifiers

PMID39005191
PMCPMC11414810

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