Evidence map›Paper›PMID 39324121›Full record

ArticleThe Lancet regional health. Western Pacific2024

Demographic disparities in the incidence and case fatality of subarachnoid haemorrhage: an 18-year nationwide study from New Zealand.

Ilari Rautalin, Rita V Krishnamurthi, Craig S Anderson, P Alan Barber, Suzanne Barker-Collo, Derrick Bennett, Ronald Boet, Jason A Correia, Jeroen Douwes, Andrew Law and 6 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

16 authors.

Ilari RautalinThe National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand.
Rita V KrishnamurthiThe National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand.
Craig S AndersonThe George Institute for Global Health, Faculty of Medicine, University of New South Wales, Kensington, Australia.
P Alan BarberDepartment of Medicine, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
Suzanne Barker-ColloSchool of Psychology, The University of Auckland, Auckland, New Zealand.
Derrick BennettClinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Ronald BoetSurgical Services, St. George's Hospital, Christchurch, New Zealand.
Jason A CorreiaDepartment of Neurosurgery, Auckland City Hospital, Auckland, New Zealand.
Jeroen DouwesResearch Centre for Hauora and Health, Massey University, Wellington, New Zealand.
Andrew LawDepartment of Neurosurgery, Auckland City Hospital, Auckland, New Zealand.
Balakrishnan NairThe National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand.
Amanda G ThriftDepartment of Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia.
Braden Te AoHealth Systems, School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
Bronwyn TunnageThe National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand.
Anna RantaDepartment of Medicine, University of Otago, Wellington, New Zealand.
Valery FeiginThe National Institute for Stroke and Applied Neurosciences, Auckland University of Technology, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although the incidence and case-fatality of subarachnoid haemorrhage (SAH) vary within countries, few countries have reported nationwide rates, especially for multi-ethnic populations. We assessed the nationwide incidence and case-fatality of SAH in New Zealand (NZ) and explored variations by sex, district, ethnicity and time. Methods: We used administrative health data from the national hospital discharge and cause-of-death collections to identify hospitalised and fatal non-hospitalised aneurysmal SAHs in NZ between 2001 and 2018. For validation, we compared these administrative data to those of two prospective Auckland Regional Community Stroke Studies. We subsequently estimated the incidence and case-fatality of SAH and calculated adjusted rate ratios (RR) with 95% confidence intervals to assess differences between sub-populations. Findings: Over 78,187,500 cumulative person-years, we identified 5371 SAHs (95% sensitivity and 85% positive predictive values) resulting in an annual age-standardised nationwide incidence of 8.2/100,000. In total, 2452 (46%) patients died within 30 days after SAH. Compared to European/others, Māori had greater incidence (RR = 2.23 (2.08-2.39)) and case-fatality (RR = 1.14 (1.06-1.22)), whereas SAH incidence was also greater in Pacific peoples (RR = 1.40 (1.24-1.59)) but lesser in Asians (RR = 0.79 (0.71-0.89)). By domicile, age-standardised SAH incidence varied between 6.3-11.5/100,000 person-years and case fatality between 40 and 57%. Between 2001 and 2018, the SAH incidence of NZ decreased by 34% and the case fatality by 12%. Interpretation: Since the incidence and case-fatality of SAH varies considerably between regions and ethnic groups, caution is advised when generalising findings from focused geographical locations for public health planning, especially in multi-ethnic populations. Funding: NZ Health Research Council.

Indexed as

Case fatalityEthnicityIncidenceRegional variationSubarachnoid haemorrhageTemporal trends

Identifiers

PMID39324121
PMCPMC11422095

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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.