Evidence map›Paper›PMID 39281192›Full record

ArticleIJID regions2024

Evaluation of risk prediction scores for adults hospitalized with COVID-19 in a highly-vaccinated population, Aotearoa New Zealand 2022.

Michael James Maze, Jonathan Williman, Rebekah Anstey, Emma Best, Hasan Bhally, Aliya Bryce, Catherina L Chang, Kevin Chen, Jack Dummer, Michael Epton and 22 more

Abstract read
In one paragraph

Article in IJID regions, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

32 authors.

Michael James MazeDepartment of Medicine, University of Otago, Christchurch, New Zealand.
Jonathan WillimanDepartment of Population Health, University of Otago, Christchurch, New Zealand.
Rebekah AnsteyRespiratory Department, Te Whatu Ora Waikato, New Zealand.
Emma BestDepartment of Paediatrics, University of Auckland, New Zealand.
Hasan BhallyInfectious Diseases Department, Te Whatu Ora Waitematā, New Zealand.
Aliya BryceInfectious Diseases Department, Te Whatu Ora Waitematā, New Zealand.
Catherina L ChangRespiratory Department, Te Whatu Ora Waikato, New Zealand.
Kevin ChenInfectious Diseases Department, Te Whatu Ora Hauora a Toi Bay of Plenty, New Zealand.
Jack DummerDepartment of Medicine, University of Otago, New Zealand.
Michael EptonRespiratory Department, Te Whatu Ora Waitaha Canterbury, New Zealand.
William R GoodRespiratory Department, Te Whatu Ora Counties Manukau, New Zealand.
Jennifer GoodsonInfectious Diseases Department, Te Whatu Ora Hauora a Toi Bay of Plenty, New Zealand.
Corina GreyDepartment of General Practice and Primary Healthcare, University of Auckland, New Zealand.
Kate GrimwadeInfectious Diseases Department, Te Whatu Ora Hauora a Toi Bay of Plenty, New Zealand.
Robert J HancoxInfectious Diseases Department, Te Whatu Ora Waitematā, New Zealand.
Redzuan Zarool HassanInfectious Diseases Department, Te Whatu Ora Waitematā, New Zealand.
Thomas HillsDepartment of Infectious Diseases, Te Whatu Ora Auckland, New Zealand.
Sandra HotuRespiratory Medicine Department, Te Whatu Ora Auckland, New Zealand.
Colin McArthurDepartment of Critical Care Medicine, Te Whatu Ora Auckland, New Zealand.
Susan MorpethDepartment of Infectious Diseases, Te Whatu Ora Counties Manukau, New Zealand.
David R MurdochDepartment of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand.
Fiona Elizabeth PeaseRespiratory Department, Te Whatu Ora Waikato, New Zealand.
Romana PylypchukDepartment of Epidemiology and Biostatistics, University of Auckland, New Zealand.
Nigel RaymondInfection Service, Te Whatu Ora Capital, Coast and Hutt Valley, New Zealand.
Stephen RitchieDepartment of Infectious Diseases, Te Whatu Ora Auckland, New Zealand.
Deborah RyanPacific Perspectives, Wellington, New Zealand.
Vanessa SelakDepartment of Epidemiology and Biostatistics, University of Auckland, New Zealand.
Malina StorerRespiratory Department, Te Whatu Ora Waitaha Canterbury, New Zealand.
Tony WallsDepartment of Paediatrics, University of Otago, Christchurch, New Zealand.
Rachel WebbRespiratory Department, Te Whatu Ora Waikato, New Zealand.
Conroy WongRespiratory Department, Te Whatu Ora Counties Manukau, New Zealand.
Karen WrightTe Kupenga Hauora Māori, University of Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: COVID-19 severity prediction scores need further validation due to evolving COVID-19 illness. We evaluated existing COVID-19 risk prediction scores in Aotearoa New Zealand, including for Māori and Pacific peoples who have been inequitably affected by COVID-19. Methods: We conducted a multicenter retrospective cohort study in adults hospitalized with COVID-19 from January to May 2022, including all Māori and Pacific patients, and every second non-Māori, non-Pacific (NMNP) patient to achieve equal analytic power by ethnic grouping. We assessed the accuracy of existing severity scores (4C Mortality, CURB-65, PRIEST, and VACO) to predict death in the hospital or within 28 days. Results: Of 2319 patients, 582 (25.1%) identified as Māori, 914 (39.4%) as Pacific, and 862 (37.2%) as NMNP. There were 146 (6.3%, 95% confidence interval 5.4-7.4%) deaths, with a predicted probability of death higher than observed mortality for VACO (10.4%), modified PRIEST (15.1%) and 4C mortality (15.5%) scores, but lower for CURB-65 (4.5%). C-statistics (95% CI) of severity scores were: 4C mortality: Māori 0.82 (0.75, 0.88), Pacific 0.87 (0.83, 0.90), NMNP 0.90 (0.86, 0.93); CURB-65: Māori 0.83 (0.69, 0.92), Pacific 0.87 (0.82, 0.91), NMNP 0.86 (0.80, 0.91); modified PRIEST: Māori 0.85 (0.79, 0.90), Pacific 0.81 (0.76, 0.86), NMNP 0.83 (0.78, 0.87); and VACO: Māori 0.79 (0.75, 0.83), Pacific 0.71 (0.58, 0.82), NMNP 0.78 (0.73, 0.83). Conclusions: Following re-calibration, existing risk prediction scores accurately predicted mortality.

Indexed as

COVID-19Māori healthMinority healthPacific healthSARS-CoV-2

Identifiers

PMID39281192
PMCPMC11400985

What OpenQuestion holds

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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.